Difference between revisions of "Publications"

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== '''<font size = 4> Open Archive (arXiv - Under Review) </font>''' ==
 
== '''<font size = 4> Open Archive (arXiv - Under Review) </font>''' ==
 
<ol>
 
<ol>
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<li> Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak, "[https://arxiv.org/abs/2111.11672 Smoothing the Generative Latent Space with Mixup-based Distance Learning]",  arXiv, Nov. 2021.
  
<li> Minsung Hyun, Jisoo Jeong, Nojun Kwak, "[https://arxiv.org/abs/2002.06815 Class-Imbalanced Semi-Supervised Learning]", arXiv, Feb. 2020.
+
<li> JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak, "[https://arxiv.org/abs/2111.10958 MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection]", arXiv, Nov. 2021.
  
<li> Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "[https://arxiv.org/abs/2002.01775 Feature-map-level Online Adversarial Knowledge Distillation]", arXiv, Feb. 2020.
+
<li> SeongUk Park and Nojun Kwak, "[https://arxiv.org/abs/2111.10988 Local-Selective Feature Distillation for Single Image Super-Resolution]", arXiv, Nov. 2021.
  
<li> Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak, "[http://arxiv.org/abs/1911.12491 QKD: Quantization-aware Knowledge Distillation]", arXiv, Nov. 2019.
+
<li> Inseop Chung, Jayeon Yoo, Nojun Kwak, "[https://arxiv.org/abs/2110.10916 Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation]", arXiv, Oct. 2021.
  
<li> Jaeyoung Yoo, Geonseok Seo, Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Mixture-Model-based Bounding Box Density Estimation for Object Detection]", arXiv, Nov. 2019.
+
<li> Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak, "[https://arxiv.org/abs/2110.03461 Self-Evolutionary Optimization for Pareto Front Learning]", arXiv, Oct. 2021.
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 +
<!--
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<li> Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak, "[https://arxiv.org/abs/2105.00937 LFI-CAM: Learning Feature Importance for Better Visual Explanation]," arXiv, May 2021.
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-->
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<li> Saem Park, Donghoon Han, Nojun Kwak, "[https://arxiv.org/abs/2103.09576 The Invertible U-Net for Optical-Flow-free Video Interframe Generation]", arXiv, March 2021.
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<li> Inseop Chung, Daesik Kim, Nojun Kwak, "[https://arxiv.org/abs/2102.13002 Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation]", arXiv, Feb. 2021.
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-->
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<li> Seohyeong Jeong and Nojun Kwak, "[https://arxiv.org/pdf/2102.09727.pdf Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer]", arXiv, Feb. 2021.
 +
 
 +
<li> Sang-ho Lee, Kiyoon Yoo, Nojun Kwak, "[https://arxiv.org/pdf/2010.10338v3.pdf Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation]", arXiv, Feb. 2021.
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 +
<li> Myunggi Lee, Wonwoong Cho, Moonheum Kim, David Inouye, Nojun Kwak, "[https://arxiv.org/pdf/2011.12893.pdf StyleUV: Diverse and High-fidelity UV Map Generative Model]", arXiv, Nov. 2020.
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 +
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<li> Hyojin Park, Ganesh Venkatesh, Nojun Kwak, "[https://arxiv.org/pdf/2011.04445.pdf TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss]", arXiv, Nov. 2020.
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-->
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<li> SeongUk Park, Kiyoon Yoo, Nojun Kwak, "[https://arxiv.org/abs/2009.04120 On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective]", arXiv, Sep. 2020.
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 +
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<li> Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "[https://arxiv.org/abs/2006.02158 Interpolation-based semi-supervised learning for object detection]", arXiv, June 2020.
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-->
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<!--
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<li> Minsung Hyun, Jisoo Jeong, Nojun Kwak, "[https://arxiv.org/abs/2002.06815 Class-Imbalanced Semi-Supervised Learning]", arXiv, Feb. 2020.
 +
-->
 +
 
 +
<li> Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak, "[http://arxiv.org/abs/1911.12491 QKD: Quantization-aware Knowledge Distillation]", arXiv, Nov. 2019.
  
 +
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<li> Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment]", arXiv, Nov. 2019.
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-->
 
<li> Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nojun Kwak, "[https://arxiv.org/abs/1908.03093 ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules]", arXiv, Aug. 2019.
 
<li> Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nojun Kwak, "[https://arxiv.org/abs/1908.03093 ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules]", arXiv, Aug. 2019.
  
 +
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<li> Saem Park and Nojun Kwak, "[https://arxiv.org/abs/1907.11341 Image Enhancement by Recurrently-trained Super-resolution Network]", arXiv, July 2019.
 
<li> Saem Park and Nojun Kwak, "[https://arxiv.org/abs/1907.11341 Image Enhancement by Recurrently-trained Super-resolution Network]", arXiv, July 2019.
 
+
-->
<li> Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak, "[https://arxiv.org/abs/1904.09058 Feature Fusion for Online Mutual Knowledge Distillation]", arXiv, April 2019.
+
  
 
<li> Minsung Hyun, Junyoung Choi, Nojun Kwak, "[https://arxiv.org/abs/1904.06887 Disentangling Options with Hellinger Distance Regularizer]", arXiv, April 2019.
 
<li> Minsung Hyun, Junyoung Choi, Nojun Kwak, "[https://arxiv.org/abs/1904.06887 Disentangling Options with Hellinger Distance Regularizer]", arXiv, April 2019.
  
 
<li> Junyoung Choi, Minsung Hyun, Nojun Kwak, "[https://arxiv.org/abs/1903.05271 Task-oriented Design through Deep Reinforcement Learning]", arXiv, March 2019.
 
<li> Junyoung Choi, Minsung Hyun, Nojun Kwak, "[https://arxiv.org/abs/1903.05271 Task-oriented Design through Deep Reinforcement Learning]", arXiv, March 2019.
 
<li> Jaeyoung Yoo, Hojun Lee, Nojun Kwak, "[https://arxiv.org/abs/1902.04294 Density Estimation and Incremental Learning of Latent Vector for Generative Autoencoders]", arXiv, Feb. 2019.
 
  
 
<li> Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak, "[https://arxiv.org/abs/1812.04920 Concentrated-Comprehensive Convolutions for lightweight semantic segmentation]", arXiv, Dec. 2018.
 
<li> Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak, "[https://arxiv.org/abs/1812.04920 Concentrated-Comprehensive Convolutions for lightweight semantic segmentation]", arXiv, Dec. 2018.
  
 +
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<li> Jangho Kim, Jeesoo Kim and Nojun Kwak, "[https://arxiv.org/abs/1809.02441 HC-Net: Memory-based Incremental Dual-Network System for Continual learning]", arXiv, Sep. 2018.
 
<li> Jangho Kim, Jeesoo Kim and Nojun Kwak, "[https://arxiv.org/abs/1809.02441 HC-Net: Memory-based Incremental Dual-Network System for Continual learning]", arXiv, Sep. 2018.
  
<li> Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim and Nojun Kwak, "[https://arxiv.org/abs/1807.02925 Vehicle Image Generation Going Well With the Surroundings]", arXiv, July 2018.
+
<li> Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim and Nojun Kwak, "[https://arxiv.org/abs/1807.02925 Vehicle Image Generation Going Well With the Surroundings]", arXiv,  
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July 2018.
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-->
  
 
<li> YoungJoon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun and Nojun Kwak, "[https://arxiv.org/abs/1711.09681 Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation]", arXiv, Nov. 2017.
 
<li> YoungJoon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun and Nojun Kwak, "[https://arxiv.org/abs/1711.09681 Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation]", arXiv, Nov. 2017.
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== '''<font size = 4> International Conferences </font>''' ==
 
== '''<font size = 4> International Conferences </font>''' ==
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<ol>
 
<ol>
  
<li> Seonguk Park and Nojun Kwak, "Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks", [http://ecai2020.eu/ 24th European Conference on Artificial Intelligence (ECAI2020)], June 2020, Santiago de Compostela, Spain, (accepted, [https://arxiv.org/abs/1909.10754 arXiv])
+
==== 2022 ====
  
<li> Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak, "SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder", [https://wacv20.wacv.net/ 2020 IEEE Winter Conference on Applications of Computer Vision (WACV'20)], March 2020, Aspen CO (accepted, [https://arxiv.org/abs/1911.09099 arXiv])
+
<li> John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak, "[https://drive.google.com/file/d/1gFxvgCFxFT3Uqq2ALMEcnOpxN-J2CnI-/view?usp=sharing Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation]", [https://wacv2022.thecvf.com/ Winter Conference on Applications of Computer Vision (WACV 2022)], Jan. 2022. ([https://arxiv.org/abs/2111.06500 arXiv])
  
<li> Jisoo Jeong, Seungeui Lee and Nojun Kwak, "[[Media:self_training.pdf |Self-Training using selection network for Semi-Supervised Learning]]", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020, Valletta, Malta (accepted)
+
<li> Inseop Chung, Daesik Kim, Nojun Kwak, "Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation", [https://wacv2022.thecvf.com/ Winter Conference on Applications of Computer Vision (WACV 2022)], Jan. 2022. ([https://arxiv.org/abs/2102.13002 arXiv])
  
<li> Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak, "Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (accepted, [https://arxiv.org/abs/1911.08141 arXiv])
+
<li> Hojun Lee, Myunggi Lee, Nojun Kwak, "Few-Shot Object Detection by Attending to Per-Sample-Prototype", [https://wacv2022.thecvf.com/ Winter Conference on Applications of Computer Vision (WACV 2022)], Jan. 2022. ([https://arxiv.org/abs/2109.07734 arXiv])
  
<li> Sang-ho Lee, Simyung Chang, Nojun Kwak, "URNet : User-Resizable Residual Networks with Conditional Gating Module", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (accepted, [https://arxiv.org/abs/1901.04687 arXiv])
+
==== 2021 ====
  
<li> Jisoo Jeong, Seungeui Lee, Jeesoo Kim and Nojun Kwak, "[https://papers.nips.cc/paper/9259-consistency-based-semi-supervised-learning-for-object-detection Consistency-based Semi-supervised Learning for Object detection]", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Vancouver, Canada, Dec. 2019. (accepted, [https://github.com/soo89/CSD-SSD Code for SSD], [https://github.com/soo89/CSD-RFCN Code for RFCN])
+
<li> Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim and Nojun Kwak, "Vehicle Image Generation Going Well with the Surroundings", [https://iconip2021.apnns.org/ 28th International Conference on Neural Information Processing (ICONIP 2021)], Dec. 2021 (Oral, [https://arxiv.org/abs/1807.02925 arXiv])
  
<li> John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak, "[http://proceedings.mlr.press/v101/yang19a/yang19a.pdf Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning]", 11th Asian Conference on Machine Learning (ACML2019), Nagoya, Japan, Nov. 2019. (accepted, [https://arxiv.org/abs/1811.04350 arXiv]).
+
<li> Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak, "[https://arxiv.org/abs/2107.13221 Normalization Matters in Weakly Supervised Object Localization]", [http://iccv2021.thecvf.com/home International Conference on Computer Vision 2021 (ICCV 2021)], Oct. 2021. ([https://arxiv.org/abs/2107.13221 arXiv])
  
<li> Simyung Chang, SeongUk Park, John Yang and Nojun Kwak, "[http://openaccess.thecvf.com/content_ICCV_2019/html/Chang_Sym-Parameterized_Dynamic_Inference_for_Mixed-Domain_Image_Translation_ICCV_2019_paper.html Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation], International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 (accepted, [http://arxiv.org/abs/1811.12362 arXiv], [https://youtu.be/i1XsGEUpfrs Video availagble])
+
<li> Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image]", [http://iccv2021.thecvf.com/home International Conference on Computer Vision 2021 (ICCV 2021)], Oct. 2021. ([https://arxiv.org/abs/1911.12721 arXiv])
  
<li> Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi, "[http://openaccess.thecvf.com/content_ICCV_2019/html/Heo_A_Comprehensive_Overhaul_of_Feature_Distillation_ICCV_2019_paper.html A Comprehensive Overhaul of Feature Distillation]", International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 (accepted, [https://arxiv.org/abs/1904.01866 arXiv]).
+
<li> Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak, "[https://arxiv.org/abs/2105.00937 LFI-CAM: Learning Feature Importance for Better Visual Explanation], [http://iccv2021.thecvf.com/home International Conference on Computer Vision 2021 (ICCV 2021)], Oct. 2021. ([https://arxiv.org/abs/2105.00937 arXiv])
 +
 
 +
<li> Jaeseok Choi, Yeji Song, Nojun Kwak, "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud", [https://www.iros2021.org/ 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021)], Prague, Czech Republic, Sep. 2021. ([https://arxiv.org/abs/2007.13373 arXiv], [https://github.com/sky77764/pa-aug.pytorch code])
 +
 
 +
<li> Jangho Kim, Simyung Chang and Nojun Kwak, "[[Media:INTERSPEECH2021PQK.pdf|PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation]]", [https://www.interspeech2021.org/ The 22nd Annual Conference of the International Speech Communication Association (InterSpeech 2021)], Aug 2021, Brno, Czech Republic.
 +
 
 +
<li> Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli, "[https://openaccess.thecvf.com/content/CVPR2021W/EVW/papers/Lin_Phase_Selective_Convolution_CVPRW_2021_paper.pdf Phase Selective Convolution]", [https://embeddedvisionworkshop.wordpress.com/ Embedded Vision Workshop 2021 (CVPRW 2021)], June 2021, online (Best Paper Award).
 +
 
 +
<li> Minsung Hyun, Jisoo Jeong, Nojun Kwak, "[https://sites.google.com/connect.hku.hk/robustml-2021/accepted-papers/paper-013 Class-Imbalanced Semi-Supervised Learning]", [https://sites.google.com/connect.hku.hk/robustml-2021/home RobustML Workshop (ICLRW 2021)], May 2021, online ([https://arxiv.org/abs/2002.06815 arXiv]).
 +
 
 +
<li> Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak, "[https://openaccess.thecvf.com/content/CVPR2021/papers/Park_Learning_Dynamic_Network_Using_a_Reuse_Gate_Function_in_Semi-Supervised_CVPR_2021_paper.pdf Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation]", CVPR 2021, June 2021, online ([https://arxiv.org/abs/2012.11655 arXiv]).
 +
 
 +
<li> Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "[https://openaccess.thecvf.com/content/CVPR2021/papers/Jeong_Interpolation-Based_Semi-Supervised_Learning_for_Object_Detection_CVPR_2021_paper.pdf Interpolation-based semi-supervised learning for object detection]", CVPR 2021, June 2021, online ([https://arxiv.org/abs/2006.02158 arXiv]).
 +
 
 +
<li> Hyojin Park, Ganesh Venkatesh, Nojun Kwak, "[https://openreview.net/forum?id=LYzEISv1bre TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss]", [https://tinyml.org/researchsymposium2021/ First International Research Symposium on Tiny Machine Learning (TinyML 2021)], March 2021, online ([https://arxiv.org/pdf/2011.04445.pdf arXiv])
 +
 
 +
<li> Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak, "[https://ieeexplore.ieee.org/document/9414526 Prototype-Based Personalized Pruning]", 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), June 2021, Toronto, Canada ([https://arxiv.org/abs/2103.15564 arXiv])
 +
 
 +
<li> Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak, "[https://ojs.aaai.org/index.php/AAAI/article/view/17556 Self-supervised pre-training and contrastive representation learning for multiple-choice video QA]", 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Feb. 2021, online ([https://arxiv.org/pdf/2009.08043.pdf arXiv])
 +
 
 +
==== 2020 ====
 +
<li> Jangho Kim, KiYoon Yoo, Nojun Kwak, "[https://proceedings.neurips.cc/paper/2020/hash/eb1e78328c46506b46a4ac4a1e378b91-Abstract.html Position-based Scaled Gradient for Model Quantization and Sparse Training]", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, online ([https://arxiv.org/pdf/2005.11035v2.pdf arXiv version])
 +
 
 +
<li> Sungheon Park, Minsik Lee, Nojun Kwak, "[https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123740001.pdf Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations]", 16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online ([https://arxiv.org/pdf/2007.10961v1.pdf arXiv version], [https://youtu.be/vrt3gfSv6Fc Video available])
 +
 
 +
<li> John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak, "[https://www.ecva.net/papers/eccv_2020/papers_ECCV/papers/123570120.pdf SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation]", 16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online ([https://arxiv.org/abs/2007.05168 arXiv version], [https://youtu.be/1h7qHFa0Z1M Video available], [https://github.com/vanyoleyang/seqhand Code available])
 +
 
 +
<li> Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak, "Feature Fusion for Online Mutual Knowledge Distillation", [https://www.micc.unifi.it/icpr2020/index.php/papers-and-authors/ 25th International Conference on Pattern Recognition (ICPR2020)], Jan. 2021, Milan, Italy (Online) (accepted, [https://arxiv.org/abs/1904.09058 arXiv version]).
 +
 
 +
<li> Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "[http://proceedings.mlr.press/v119/chung20a.html Feature-map-level Online Adversarial Knowledge Distillation]", Thirty-seventh International Conference on Machine Learning (ICML2020), July 2020, Vienna, Austria (Online), ([https://arxiv.org/abs/2002.01775 arXiv version], [https://youtu.be/Xi1HPsZ5gsM Video available])
 +
 
 +
<li> Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak, "[https://ieeexplore.ieee.org/document/9191075 KL-divergence-based Region Proposal Network for Object Detection]", IEEE International Conf. on Image Processing (ICIP 2020), Oct. 2020, Abu Dhabi, UAE (Online), ([https://arxiv.org/abs/2005.11220 arXiv version])
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 +
<li> Jaeyoung Yoo, Hojun Lee, Nojun Kwak, "[https://ieeexplore.ieee.org/document/9191173 Unpriortized Autoencoder for Image Generations]", IEEE International Conf. on Image Processing (ICIP 2020), Oct. 2020, Abu Dhabi, UAE (Online), ([https://arxiv.org/abs/1902.04294 arXiv version])
 +
 
 +
<li> Seonguk Park and Nojun Kwak, "[http://ecai2020.eu/papers/405_paper.pdf Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks]", [http://ecai2020.eu/ 24th European Conference on Artificial Intelligence (ECAI2020)], Aug. 2020, Santiago de Compostela, Spain (Online), ([https://arxiv.org/abs/1909.10754 arXiv version])
 +
 
 +
<li> Jangho Kim, Jeesoo Kim, Nojun Kwak, "[http://openaccess.thecvf.com/content_CVPRW_2020/html/w15/Kim_StackNet_Stacking_Feature_Maps_for_Continual_Learning_CVPRW_2020_paper.html StackNet: Stacking Parameters for Continual learning]", [https://sites.google.com/view/clvision2020 Workshop on Continual Learning in Computer Vision (CVPR2020 Workshop)], June 2020, Seattle WA (Online), ([https://arxiv.org/abs/1809.02441 arXiv version])
 +
 
 +
<li>
 +
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak, "[http://openaccess.thecvf.com/content_CVPRW_2020/html/w40/Bhalgat_LSQ_Improving_Low-Bit_Quantization_Through_Learnable_Offsets_and_Better_Initialization_CVPRW_2020_paper.html LSQ+: Improving low-bit quantization through learnable offsets and better initialization]", [https://workshop-edlcv.github.io/ Joint Workshop on Efficient Deep Learning in Computer Vision (CVPR2020 Workshop)], June 2020, Seattle WA (Online), ([https://arxiv.org/abs/2004.09576 arXiv version])
 +
 +
<li> Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak, "[http://openaccess.thecvf.com/content_WACV_2020/papers/Park_SINet_Extreme_Lightweight_Portrait_Segmentation_Networks_with_Spatial_Squeeze_Module_WACV_2020_paper.pdf SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder]", [https://wacv20.wacv.net/ 2020 IEEE Winter Conference on Applications of Computer Vision (WACV'20)], March 2020, Aspen CO ([https://arxiv.org/abs/1911.09099 arXiv])
 +
 
 +
<li> Jisoo Jeong, Seungeui Lee and Nojun Kwak, "[[Media:self_training.pdf |Self-Training using selection network for Semi-Supervised Learning]]", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020, Valletta, Malta.
 +
 
 +
<li> Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak, "[https://www.aaai.org/Papers/AAAI/2020GB/AAAI-KimD.2618.pdf Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction]", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Oral, [https://arxiv.org/abs/1911.08141 arXiv])
 +
 
 +
<li> Sang-ho Lee, Simyung Chang, Nojun Kwak, "[https://aaai.org/Papers/AAAI/2020GB/AAAI-LeeS.368.pdf URNet : User-Resizable Residual Networks with Conditional Gating Module]", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Oral, [https://arxiv.org/abs/1901.04687 arXiv])
 +
 
 +
==== 2019 ====
 +
 
 +
<li> Jisoo Jeong, Seungeui Lee, Jeesoo Kim and Nojun Kwak, "[https://papers.nips.cc/paper/9259-consistency-based-semi-supervised-learning-for-object-detection Consistency-based Semi-supervised Learning for Object detection]", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Vancouver, Canada, Dec. 2019. ([https://github.com/soo89/CSD-SSD Code for SSD], [https://github.com/soo89/CSD-RFCN Code for RFCN], [https://youtu.be/BJMPY0N__6E Video available])
 +
 
 +
<li> John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak, "[http://proceedings.mlr.press/v101/yang19a/yang19a.pdf Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning]", 11th Asian Conference on Machine Learning (ACML2019), Nagoya, Japan, Nov. 2019. ([https://arxiv.org/abs/1811.04350 arXiv]).
 +
 
 +
<li> Simyung Chang, SeongUk Park, John Yang and Nojun Kwak, "[http://openaccess.thecvf.com/content_ICCV_2019/html/Chang_Sym-Parameterized_Dynamic_Inference_for_Mixed-Domain_Image_Translation_ICCV_2019_paper.html Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation], International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 ([http://arxiv.org/abs/1811.12362 arXiv], [https://youtu.be/i1XsGEUpfrs Video availagble], [https://youtu.be/gQqBwLfLh_Q presentation])
 +
 
 +
<li> Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi, "[http://openaccess.thecvf.com/content_ICCV_2019/html/Heo_A_Comprehensive_Overhaul_of_Feature_Distillation_ICCV_2019_paper.html A Comprehensive Overhaul of Feature Distillation]", International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 ([https://arxiv.org/abs/1904.01866 arXiv]).
  
 
<li> Daesik Kim, Seonhoon Kim and Nojun Kwak, "[https://www.aclweb.org/anthology/P19-1347 Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension]", 57th Annual Meeting of the Association for Computational Linguistics (ACL2019), Florence, Italy. July 2019 (Oral, [https://arxiv.org/abs/1811.00232 arXiv]).
 
<li> Daesik Kim, Seonhoon Kim and Nojun Kwak, "[https://www.aclweb.org/anthology/P19-1347 Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension]", 57th Annual Meeting of the Association for Computational Linguistics (ACL2019), Florence, Italy. July 2019 (Oral, [https://arxiv.org/abs/1811.00232 arXiv]).
Line 80: Line 174:
  
 
<li> Seonhoon Kim, Inho Kang and Nojun Kwak, "[https://aaai.org/ojs/index.php/AAAI/article/view/4627 Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information]", Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI. Jan. 2019. ([https://arxiv.org/abs/1805.11360 arXiv])
 
<li> Seonhoon Kim, Inho Kang and Nojun Kwak, "[https://aaai.org/ojs/index.php/AAAI/article/view/4627 Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information]", Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI. Jan. 2019. ([https://arxiv.org/abs/1805.11360 arXiv])
 +
 +
==== 2018 ====
 +
  
 
<li> Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "[https://nips.cc/Conferences/2018/Schedule?showEvent=11188 Genetic-Gated Networks for Deep Reinforcement Learning]", Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montreal, Canada, Dec. 2018.
 
<li> Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "[https://nips.cc/Conferences/2018/Schedule?showEvent=11188 Genetic-Gated Networks for Deep Reinforcement Learning]", Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montreal, Canada, Dec. 2018.
Line 106: Line 203:
  
 
<li> Jihoon Kwon, Nojun Kwak, Eunjeoung Yang and Kwonsung Kim, "[https://ieeexplore.ieee.org/abstract/document/8405236/ Ensemble Kalman Filter for Track-Before-Detect Algorithm of Pulsed-Doppler Radar]", 22nd International Microwave and Radar Conference (MIKON2018),  Poznań, Poland, May 2018.
 
<li> Jihoon Kwon, Nojun Kwak, Eunjeoung Yang and Kwonsung Kim, "[https://ieeexplore.ieee.org/abstract/document/8405236/ Ensemble Kalman Filter for Track-Before-Detect Algorithm of Pulsed-Doppler Radar]", 22nd International Microwave and Radar Conference (MIKON2018),  Poznań, Poland, May 2018.
 +
 +
==== 2017 ====
  
 
<li> Jihoon Kwon, Nojun Kwak, Dongwon Yang and Yeosun Yoon, "[http://ieeexplore.ieee.org/document/8249200/ Development of Ground Penetrating Radar based on 48 Channel Impulse Radar Array]", European Microwave Week 2017, Nuremberg, Germany, October 2017.
 
<li> Jihoon Kwon, Nojun Kwak, Dongwon Yang and Yeosun Yoon, "[http://ieeexplore.ieee.org/document/8249200/ Development of Ground Penetrating Radar based on 48 Channel Impulse Radar Array]", European Microwave Week 2017, Nuremberg, Germany, October 2017.
Line 118: Line 217:
  
 
<li> Jihoon Kwon and Nojun Kwak, "[[Media:Human_radarconf.pdf| Human detection by neural networks using a low-cost short-range Doppler radar sensor]]", 2017 IEEE Radar Conference, Seattle, WA, May 2017.
 
<li> Jihoon Kwon and Nojun Kwak, "[[Media:Human_radarconf.pdf| Human detection by neural networks using a low-cost short-range Doppler radar sensor]]", 2017 IEEE Radar Conference, Seattle, WA, May 2017.
 +
 +
==== 2016 ====
  
 
<li> Sangkuk Lee, Sung Joon Son, Jiyong Oh and Nojun Kwak, "[[Media:ICISS_MuSymb.pdf| Handwritten Music Symbol Classification Using Deep Convolutional Neural Networks]]", Proc. The 3rd International Conference on Information Science and Security (ICISS2016), Pattaya, Thailand, Dec. 2016.
 
<li> Sangkuk Lee, Sung Joon Son, Jiyong Oh and Nojun Kwak, "[[Media:ICISS_MuSymb.pdf| Handwritten Music Symbol Classification Using Deep Convolutional Neural Networks]]", Proc. The 3rd International Conference on Information Science and Security (ICISS2016), Pattaya, Thailand, Dec. 2016.
Line 130: Line 231:
  
 
<li> John Yang, Hyeogjin Lee and Nojun Kwak, "[[Media:Bigcomp2016_Gap_max.pdf| Kernel Parameter Selection by Gap Maximization between Intra and Inter-Class Samples]]", Third International Conf. on Big Data and Smart Computing (BigComp'16), Hong Kong, China, Jan. 2016.
 
<li> John Yang, Hyeogjin Lee and Nojun Kwak, "[[Media:Bigcomp2016_Gap_max.pdf| Kernel Parameter Selection by Gap Maximization between Intra and Inter-Class Samples]]", Third International Conf. on Big Data and Smart Computing (BigComp'16), Hong Kong, China, Jan. 2016.
 +
 +
==== 2015 ====
  
 
<li> Sungheon Park, Myunggi Lee, Jihye Hwang, John Yang, Jieun Lee and Nojun Kwak, "[http://image-net.org/challenges/posters/mipal_snu_poster.pdf Object Localization Using Image Classification Score]" poster presentation at [http://image-net.org/challenges/ilsvrc+mscoco2015 ICCV2015 Workshop (ImageNet and MS COCO Visual Recognition Challenges Joint Workshop)], Santiago, Chile, Dec. 2015.
 
<li> Sungheon Park, Myunggi Lee, Jihye Hwang, John Yang, Jieun Lee and Nojun Kwak, "[http://image-net.org/challenges/posters/mipal_snu_poster.pdf Object Localization Using Image Classification Score]" poster presentation at [http://image-net.org/challenges/ilsvrc+mscoco2015 ICCV2015 Workshop (ImageNet and MS COCO Visual Recognition Challenges Joint Workshop)], Santiago, Chile, Dec. 2015.
Line 150: Line 253:
 
<li> Sungheon Park, Myunggi Lee and Nojun Kwak, "[[Media:Polyp_short_report.pdf| Polyp detection in colonoscopy videos using deeply-learned hierarchical features]]", Presented at [http://www.polyp2015.com/wp/ ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos], New York, NY, April 2015.
 
<li> Sungheon Park, Myunggi Lee and Nojun Kwak, "[[Media:Polyp_short_report.pdf| Polyp detection in colonoscopy videos using deeply-learned hierarchical features]]", Presented at [http://www.polyp2015.com/wp/ ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos], New York, NY, April 2015.
 
</li>
 
</li>
 +
 +
==== ~ 2014 ====
  
 
<li> Kanishka Tyagi, Nojun Kwak and Michael Manry, “[[Media:ICPRAM_2014_LDAL1.pdf| Optimal conjugate gradient algorithm for generalization of linear discriminant analysis based on L1 norm ]]”, Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'14), pp. 207 - 212, Angers, France, March 2014.
 
<li> Kanishka Tyagi, Nojun Kwak and Michael Manry, “[[Media:ICPRAM_2014_LDAL1.pdf| Optimal conjugate gradient algorithm for generalization of linear discriminant analysis based on L1 norm ]]”, Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'14), pp. 207 - 212, Angers, France, March 2014.
Line 204: Line 309:
 
== '''<font size = 4> International Journals </font>''' ==
 
== '''<font size = 4> International Journals </font>''' ==
 
<ol>
 
<ol>
 +
 +
<li> Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak, "[https://ieeexplore.ieee.org/document/9519655?source=authoralert Adaptive Template and Transition Map for Real-Time Video Object Segmentation]", IEEE Access (accepted)
 +
 +
<li> Saem Park and Nojun Kwak, "[https://ieeexplore.ieee.org/document/9343815 Recurrently-Trained Super-Resolution]", IEEE Access (accepted, [https://arxiv.org/abs/1907.11341 arXiv version])
 +
 +
<li> Hojun Lee*, Donghwan Yun, Jayeon Yoo*, Kiyoon Yoo*, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak*, Seung Seok Han, "[https://cjasn.asnjournals.org/content/16/3/396 Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension]", Clinical Journal of the American Society of Nephrology, March 2021, vol. 16, no. 3, pp. 396-406 (DOI: https://doi.org/10.2215/CJN.09280620).
 +
 +
<li> Dongsuk Park, Seungeui Lee, SeongUk Park, Nojun Kwak, "[https://www.mdpi.com/1424-8220/21/1/210 Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks]", MDPI Sensors, Jan. 2021.
 +
 +
<li> Jihye Hwang, John Yang and Nojun Kwak, "[https://ieeexplore.ieee.org/document/9239282 Exploring Rare Pose in Human Pose Estimation]," in IEEE Access, Oct. 2020, doi: 10.1109/ACCESS.2020.3033531.
 +
 
<li> Jieun Lee, Hyeogjin Lee, Minsik Lee and Nojun Kwak, "[https://ieeexplore.ieee.org/document/8527636 Nonparametric Estimation of Probabilistic Membership for Subspace Clustering]", IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1023-1036, March 2020.
 
<li> Jieun Lee, Hyeogjin Lee, Minsik Lee and Nojun Kwak, "[https://ieeexplore.ieee.org/document/8527636 Nonparametric Estimation of Probabilistic Membership for Subspace Clustering]", IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1023-1036, March 2020.
  
Line 337: Line 453:
 
== '''<font size = 4> Domestic Conferences </font>''' ==
 
== '''<font size = 4> Domestic Conferences </font>''' ==
 
<ol>
 
<ol>
 +
 +
<li> 이호준, 정인섭, 곽노준, "[[Media:Multimodal_detection.pdf | 멀티모달 센서를 활용한 객체 검출 프레임워크]]", 제 16회 한국로봇종합학술대회, 2021년 5월 21일.
  
 
<li> 서건석, 유재영, 최재석, 곽노준, "[[Media:KLDetection.pdf | 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출]]", 제 29회 신호처리합동학술대회, 2019년 9월 26일.
 
<li> 서건석, 유재영, 최재석, 곽노준, "[[Media:KLDetection.pdf | 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출]]", 제 29회 신호처리합동학술대회, 2019년 9월 26일.
Line 431: Line 549:
  
 
<ol>
 
<ol>
 +
<li> 경계박스 중복제거장치 및 그 장치의 구동방법, 대한민국특허 1022749130000, 2021. 07. 02.
 +
 
<li> 영상 처리 및 기계 학습에 기초한 뼈 나이 판독 장치 및 방법, 대한민국특허 1019612150000,  2019. 03. 20.
 
<li> 영상 처리 및 기계 학습에 기초한 뼈 나이 판독 장치 및 방법, 대한민국특허 1019612150000,  2019. 03. 20.
  
Line 541: Line 661:
 
== '''<font size = 4> Thesis (Students) </font>''' ==
 
== '''<font size = 4> Thesis (Students) </font>''' ==
 
<ol>
 
<ol>
 +
<li> 황지혜, "2D Human Pose Estimation and Tracking with Spatial and Temporal Features", 박사학위논문, 서울대학교, 2021년 2월
 +
 +
<li> 정서형, "Exploring Question Answering Tasks with the Language Model, BERT", 석사학위논문, 서울대학교, 2021년 2월
 +
 +
<li> 박동석, "Convolutional Neural Network-based UAV Classification Using Radar Spectrogram", 석사학위논문, 서울대학교, 2021년 2월
 +
 +
<li> 권지훈, "Particle Filter Combined CFAR for Track-Before-Detect Processing of Pulse Doppler Radar", 박사학위논문, 서울대학교, 2020년 2월
 +
 +
<li> 이규정, "Exploiting Velocity Information to Alleviate Association Uncertainty in Radar Dim Target Tracking", 박사학위논문, 서울대학교, 2020년 2월
 +
 +
<li> 서건석, "KL-Divergence-Based Region Proposal Network for Object Detection", 석사학위논문, 서울대학교, 2020년 2월
 +
 +
<li> 김대식, "Exploitation of Visual Relationships for Semantic Image Understanding", 박사학위논문, 서울대학교, 2019년 8월
 +
 
<li> 박성헌, "3D Reconstruction, Weakly-Supervised Learning, and Supervised Learning Methods for 3D Human Pose Estimation", 박사학위논문, 서울대학교, 2019년 2월
 
<li> 박성헌, "3D Reconstruction, Weakly-Supervised Learning, and Supervised Learning Methods for 3D Human Pose Estimation", 박사학위논문, 서울대학교, 2019년 2월
  
Line 578: Line 712:
 
== '''<font size = 4> Awards & Honors </font>''' ==
 
== '''<font size = 4> Awards & Honors </font>''' ==
 
<ol>
 
<ol>
<li> [https://posetrack.net/workshops/eccv2018/#challenges POSETRACK CHALLENGE at ECCV2018 workshop] ([http://convergence.snu.ac.kr/blog/?p=5060 Honorable Mention Award])
+
 
 +
<li> Phase Selective Convolution got Best Paper Award, [https://embeddedvisionworkshop.wordpress.com/ Embedded Vision Workshop @ CVPR2021]
 +
 
 +
<li> [https://posetrack.net/workshops/eccv2018/#challenges POSETRACK CHALLENGE at ECCV2018 workshop] ([https://posetrack.net/workshops/eccv2018/posetrack_eccv_2018_results.html Honorable Mention Award], [http://convergence.snu.ac.kr/bbs/board.php?bo_table=blog&wr_id=215&sfl=wr_subject%7C%7Cwr_content&stx=%EA%B3%BD%EB%85%B8%EC%A4%80&sop=and More info.])
  
 
<li> 과학기술정보통신부장관 표창 (제 21635호, 융합연구 활성화에 기여), 2017년 11월 23일.  
 
<li> 과학기술정보통신부장관 표창 (제 21635호, 융합연구 활성화에 기여), 2017년 11월 23일.  
Line 593: Line 730:
 
<li> [http://www.polyp2015.com/wp/ ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos] (3rd place)
 
<li> [http://www.polyp2015.com/wp/ ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos] (3rd place)
  
<li> [http://gesture.chalearn.org/mmdata ChaLearn Looking at People] - Cultural Event Classification Challenge (CVPR 2015 Workshop, 3rd place)
+
<li> [http://gesture.chalearn.org/2015-looking-at-people-cvpr-challenge/workshop ChaLearn Looking at People] - Cultural Event Classification Challenge (CVPR 2015 Workshop, 3rd place)
  
 
<li> [http://archive.darpa.mil/roboticschallenge/ DARPA Robotics Challenge Finals 2015] (12th place among 25 teams, co-leaded Team-SNU)
 
<li> [http://archive.darpa.mil/roboticschallenge/ DARPA Robotics Challenge Finals 2015] (12th place among 25 teams, co-leaded Team-SNU)
Line 599: Line 736:
 
<li> [http://www.irobotnews.com/news/articleView.html?idxno=1039 Korean Autonomous Vehicle Contest 2013] (4th place among 10 final teams, co-leaded Team-ADAM)
 
<li> [http://www.irobotnews.com/news/articleView.html?idxno=1039 Korean Autonomous Vehicle Contest 2013] (4th place among 10 final teams, co-leaded Team-ADAM)
  
<li> SL SeoBong Research Award 2008, 30 million Won (US $ 3,000)
+
<li> SL SeoBong Research Award 2008, 30 million Won (US $ 30,000)
 +
 
 +
</ol>
 +
 
 +
 
 +
 
 +
----
 +
 
 +
== '''<font size = 4> Invited Talks </font>''' ==
 +
<ol>
 +
 
 +
<li> Position-based Scaled Gradient for Model Quantization, in [http://cmalab.snu.ac.kr/HENP2020 International Workshop on Highly Efficient Neural Processing (HENP)], Online, Sep. 2020.
 +
 
 +
<li> Maximizing L1 norm in data analysis, in The First International Symposium on System Informatics and Engineering, Qingdao, China, 2011.
 +
 
 +
<li> L1 norm optimization in subspace learning methods, in AI-2011 Thirty-first SGAI International Conference on Artificial Intelligence, Cambridge, UK, 2011.
  
 
</ol>
 
</ol>
Line 609: Line 761:
 
== '''<font size = 4> Others (Columns) </font>''' ==
 
== '''<font size = 4> Others (Columns) </font>''' ==
 
<ol>
 
<ol>
 +
<li> 곽노준, "[http://www.snunews.com/news/articleView.html?idxno=22102 독불장군에게 미래는 없다]", 서울대학교 대학신문, 2021년 4월 11일
 +
 
<li> 곽노준, "[http://bkplusnrf.re.kr/bkplus16/html/sub05.html 인공지능의 현황과 전망]", BK21플러스 웹진 16호, 2018년 6월.
 
<li> 곽노준, "[http://bkplusnrf.re.kr/bkplus16/html/sub05.html 인공지능의 현황과 전망]", BK21플러스 웹진 16호, 2018년 6월.
  

Latest revision as of 17:38, 25 November 2021

Books

  1. 신현철, 강행봉, 곽노준, 김학일, 조상복, 지능형 차량 안전을 위한 영상 및 비전 시스템, 홍릉과학출판사, ISBN 9788997570492, 2012.
  2. Jiyong Oh and Nojun Kwak, "Robust PCAs and PCA using generalized mean" (Chapter 4, pp. 71 - 98), in Advances in Principal Component Analysis - Research and Development, Springer Singapore (editor: Ganesh R. Naik), eBook ISBN 978-981-10-6704-4, 2018.



Open Archive (arXiv - Under Review)

  1. Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak, "Smoothing the Generative Latent Space with Mixup-based Distance Learning", arXiv, Nov. 2021.
  2. JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak, "MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection", arXiv, Nov. 2021.
  3. SeongUk Park and Nojun Kwak, "Local-Selective Feature Distillation for Single Image Super-Resolution", arXiv, Nov. 2021.
  4. Inseop Chung, Jayeon Yoo, Nojun Kwak, "Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation", arXiv, Oct. 2021.
  5. Simyung Chang, KiYoon Yoo, Jiho Jang, Nojun Kwak, "Self-Evolutionary Optimization for Pareto Front Learning", arXiv, Oct. 2021.
  6. Saem Park, Donghoon Han, Nojun Kwak, "The Invertible U-Net for Optical-Flow-free Video Interframe Generation", arXiv, March 2021.
  7. Seohyeong Jeong and Nojun Kwak, "Learning Dynamic BERT via Trainable Gate Variables and a Bi-modal Regularizer", arXiv, Feb. 2021.
  8. Sang-ho Lee, Kiyoon Yoo, Nojun Kwak, "Edge Bias in Federated Learning and its Solution by Buffered Knowledge Distillation", arXiv, Feb. 2021.
  9. Myunggi Lee, Wonwoong Cho, Moonheum Kim, David Inouye, Nojun Kwak, "StyleUV: Diverse and High-fidelity UV Map Generative Model", arXiv, Nov. 2020.
  10. SeongUk Park, Kiyoon Yoo, Nojun Kwak, "On the Orthogonality of Knowledge Distillation with Other Techniques: From an Ensemble Perspective", arXiv, Sep. 2020.
  11. Jangho Kim, Yash Bhalgat, Jinwon Lee, Chirag Patel, Nojun Kwak, "QKD: Quantization-aware Knowledge Distillation", arXiv, Nov. 2019.
  12. Hyojin Park, Lars Lowe Sjösund, YoungJoon Yoo, Nojun Kwak, "ExtremeC3Net: Extreme Lightweight Portrait Segmentation Networks using Advanced C3-modules", arXiv, Aug. 2019.
  13. Minsung Hyun, Junyoung Choi, Nojun Kwak, "Disentangling Options with Hellinger Distance Regularizer", arXiv, April 2019.
  14. Junyoung Choi, Minsung Hyun, Nojun Kwak, "Task-oriented Design through Deep Reinforcement Learning", arXiv, March 2019.
  15. Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak, "Concentrated-Comprehensive Convolutions for lightweight semantic segmentation", arXiv, Dec. 2018.
  16. YoungJoon Yoo, Seonguk Park, Junyoung Choi, Sangdoo Yun and Nojun Kwak, "Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation", arXiv, Nov. 2017.
  17. Sangkuk Lee, Daesik Kim, Myunggi Lee, Jihye Hwang and Nojun Kwak, "Where to Play: Retrieval of video segments using natural-language queries", arXiv, July 2017. (Video available)



International Conferences

    2022

  1. John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak, "Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation", Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)
  2. Inseop Chung, Daesik Kim, Nojun Kwak, "Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation", Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)
  3. Hojun Lee, Myunggi Lee, Nojun Kwak, "Few-Shot Object Detection by Attending to Per-Sample-Prototype", Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)

    2021

  4. Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim and Nojun Kwak, "Vehicle Image Generation Going Well with the Surroundings", 28th International Conference on Neural Information Processing (ICONIP 2021), Dec. 2021 (Oral, arXiv)
  5. Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak, "Normalization Matters in Weakly Supervised Object Localization", International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
  6. Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image", International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
  7. Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak, "LFI-CAM: Learning Feature Importance for Better Visual Explanation, International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
  8. Jaeseok Choi, Yeji Song, Nojun Kwak, "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud", 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, Sep. 2021. (arXiv, code)
  9. Jangho Kim, Simyung Chang and Nojun Kwak, "PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation", The 22nd Annual Conference of the International Speech Communication Association (InterSpeech 2021), Aug 2021, Brno, Czech Republic.
  10. Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli, "Phase Selective Convolution", Embedded Vision Workshop 2021 (CVPRW 2021), June 2021, online (Best Paper Award).
  11. Minsung Hyun, Jisoo Jeong, Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), May 2021, online (arXiv).
  12. Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak, "Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation", CVPR 2021, June 2021, online (arXiv).
  13. Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "Interpolation-based semi-supervised learning for object detection", CVPR 2021, June 2021, online (arXiv).
  14. Hyojin Park, Ganesh Venkatesh, Nojun Kwak, "TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss", First International Research Symposium on Tiny Machine Learning (TinyML 2021), March 2021, online (arXiv)
  15. Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak, "Prototype-Based Personalized Pruning", 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), June 2021, Toronto, Canada (arXiv)
  16. Seonhoon Kim, Seohyeong Jeong, Eunbyul Kim, Inho Kang, Nojun Kwak, "Self-supervised pre-training and contrastive representation learning for multiple-choice video QA", 35th AAAI Conference on Artificial Intelligence (AAAI 2021), Feb. 2021, online (arXiv)

    2020

  17. Jangho Kim, KiYoon Yoo, Nojun Kwak, "Position-based Scaled Gradient for Model Quantization and Sparse Training", Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, online (arXiv version)
  18. Sungheon Park, Minsik Lee, Nojun Kwak, "Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations", 16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online (arXiv version, Video available)
  19. John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak, "SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation", 16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online (arXiv version, Video available, Code available)
  20. Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak, "Feature Fusion for Online Mutual Knowledge Distillation", 25th International Conference on Pattern Recognition (ICPR2020), Jan. 2021, Milan, Italy (Online) (accepted, arXiv version).
  21. Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "Feature-map-level Online Adversarial Knowledge Distillation", Thirty-seventh International Conference on Machine Learning (ICML2020), July 2020, Vienna, Austria (Online), (arXiv version, Video available)
  22. Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak, "KL-divergence-based Region Proposal Network for Object Detection", IEEE International Conf. on Image Processing (ICIP 2020), Oct. 2020, Abu Dhabi, UAE (Online), (arXiv version)
  23. Jaeyoung Yoo, Hojun Lee, Nojun Kwak, "Unpriortized Autoencoder for Image Generations", IEEE International Conf. on Image Processing (ICIP 2020), Oct. 2020, Abu Dhabi, UAE (Online), (arXiv version)
  24. Seonguk Park and Nojun Kwak, "Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks", 24th European Conference on Artificial Intelligence (ECAI2020), Aug. 2020, Santiago de Compostela, Spain (Online), (arXiv version)
  25. Jangho Kim, Jeesoo Kim, Nojun Kwak, "StackNet: Stacking Parameters for Continual learning", Workshop on Continual Learning in Computer Vision (CVPR2020 Workshop), June 2020, Seattle WA (Online), (arXiv version)
  26. Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak, "LSQ+: Improving low-bit quantization through learnable offsets and better initialization", Joint Workshop on Efficient Deep Learning in Computer Vision (CVPR2020 Workshop), June 2020, Seattle WA (Online), (arXiv version)
  27. Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak, "SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder", 2020 IEEE Winter Conference on Applications of Computer Vision (WACV'20), March 2020, Aspen CO (arXiv)
  28. Jisoo Jeong, Seungeui Lee and Nojun Kwak, "Self-Training using selection network for Semi-Supervised Learning", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020, Valletta, Malta.
  29. Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak, "Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Oral, arXiv)
  30. Sang-ho Lee, Simyung Chang, Nojun Kwak, "URNet : User-Resizable Residual Networks with Conditional Gating Module", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Oral, arXiv)

    2019

  31. Jisoo Jeong, Seungeui Lee, Jeesoo Kim and Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Vancouver, Canada, Dec. 2019. (Code for SSD, Code for RFCN, Video available)
  32. John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak, "Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning", 11th Asian Conference on Machine Learning (ACML2019), Nagoya, Japan, Nov. 2019. (arXiv).
  33. Simyung Chang, SeongUk Park, John Yang and Nojun Kwak, "Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation, International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 (arXiv, Video availagble, presentation)
  34. Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi, "A Comprehensive Overhaul of Feature Distillation", International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019 (arXiv).
  35. Daesik Kim, Seonhoon Kim and Nojun Kwak, "Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension", 57th Annual Meeting of the Association for Computational Linguistics (ACL2019), Florence, Italy. July 2019 (Oral, arXiv).
  36. Jihye Hwang, Jieun Lee, Sungheon Park and Nojun Kwak, "Pose estimator and tracker using temporal flow maps for limbs", International Joint Conference on Neural Networks 2019 (IJCNN2019), Budapest, Hungary, July 2019 (arXiv).
  37. Jihoon Kwon, Nojun Kwak, Eunjung Yang and Kwansung Kim, "Particle filter based track-before-detect method in the range-doppler domain", 2019 IEEE Radar Conference, Boston, MA, USA, April 2019.
  38. Simyung Chang, YoungJoon Yoo, Jaeseok Choi and Nojun Kwak,"BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (arXiv)
  39. Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (arXiv)
  40. Seonhoon Kim, Inho Kang and Nojun Kwak, "Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information", Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI. Jan. 2019. (arXiv)

    2018

  41. Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montreal, Canada, Dec. 2018.
  42. Jangho Kim, SeoungUK Park and Nojun Kwak, "Paraphrasing Complex Network: Network Compression via Factor Transfer", Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montreal, Canada, Dec. 2018. (arXiv)
  43. Jihoon Kwon, Seoungeui Lee and Nojun Kwak, " Radar Application of Deep Neural Networks for Recognizing Micro-Doppler Radar Signals by Human Walking and Background Noise", 2018 International Symposium on Antenna and Propagation, Busan, Korea, Oct. 2018.
  44. Simyung Chang, John Yang, Seonguk Park and Nojun Kwak, "Broadcasting Convolutional Network for Visual Relational Reasoning", European Conference on Computer Vision (ECCV2018), Munich, Germany, Sep. 2018. (arXiv)
  45. Myunggi Lee, Seung Eui Lee, Sung Joon Son, Gyutae Park and Nojun Kwak, "Motion Feature Network: Fixed Motion Filter for Action Recognition", European Conference on Computer Vision (ECCV2018), Munich, Germany, Sep. 2018. (arXiv, Demo)
  46. Sungheon Park and Nojun Kwak, "3D Human Pose Estimation with Relational Networks", The British Machine Vision Conference (BMVC2018), Newcastle, UK, Sep. 2018. (arXiv, Demo)
  47. Hyojin Park, Youngjoon Yoo and Nojun Kwak, "MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis", The British Machine Vision Conference (BMVC2018), Newcastle, UK, Sep. 2018. (arXiv)
  48. Sungheon Park, Taehoon Kim, Kyogu Lee and Nojun Kwak, "Music Source Separation Using Stacked Hourglass Networks", 19th International Society for Music Information Retrieval Conference (ISMIR2018), Paris, France, Sep. 2018. (arXiv)
  49. Gyuejeong Lee, Seungeui Lee, Kwansung Kim and Nojun Kwak, " Probabilistic Track Initiation Algorithm Using Radar Velocity Information in Heavy Clutter Environments", European Microwave Week 2018 (EuMW2018), Madrid, Spain, Sep. 2018.
  50. Jihoon Kwon, Seoungeui Lee, and Nojun Kwak, " Human Detection by Deep Neural Networks for Recognizing Micro-Doppler Signals of Radar", European Microwave Week 2018 (EuMW2018), Madrid, Spain, Sep. 2018.
  51. Jaeyoung Yoo, Sang-ho Lee and Nojun Kwak, "Image Restoration by Estimating Frequency Distribution of Local Patches", The Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, UT, June 2018. (arXiv)
  52. Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee and Nojun Kwak, "Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams", The Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018), Salt Lake City, UT, June 2018. (arXiv)
  53. Jihoon Kwon, Nojun Kwak, Eunjeoung Yang and Kwonsung Kim, "Ensemble Kalman Filter for Track-Before-Detect Algorithm of Pulsed-Doppler Radar", 22nd International Microwave and Radar Conference (MIKON2018), Poznań, Poland, May 2018.

    2017

  54. Jihoon Kwon, Nojun Kwak, Dongwon Yang and Yeosun Yoon, "Development of Ground Penetrating Radar based on 48 Channel Impulse Radar Array", European Microwave Week 2017, Nuremberg, Germany, October 2017.
  55. Jisoo Jeong, Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017. (arXiv, Code available)
  56. Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017. (arXiv)
  57. Jihye Hwang, Sungheon Park and Nojun Kwak, " Athlete pose estimation by a global-local network", CVPR 2017 Workshop (CVsports), Honolulu, Hawaii, July 2017.
  58. Daesik Kim, Myunggi Lee and Nojun Kwak, " Matching Video Net: Memory-based embedding for video action recognition", International Joint Conference on Neural Networks 2017 (IJCNN2017), Anchorage, AK, May 2017.
  59. Jihoon Kwon and Nojun Kwak, " Human detection by neural networks using a low-cost short-range Doppler radar sensor", 2017 IEEE Radar Conference, Seattle, WA, May 2017.

    2016

  60. Sangkuk Lee, Sung Joon Son, Jiyong Oh and Nojun Kwak, " Handwritten Music Symbol Classification Using Deep Convolutional Neural Networks", Proc. The 3rd International Conference on Information Science and Security (ICISS2016), Pattaya, Thailand, Dec. 2016.
  61. Sungheon Park and Nojun Kwak, " Analysis on the Dropout Effect in Convolutional Neural Networks", Proc. Asian Conf. on Computer Vision (ACCV2016), Taipei, Taiwan, Nov. 2016.
  62. Sungheon Park, Jihye Hwang and Nojun Kwak, "3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information", ECCV2016 Workshop (Geometry Meets Deep Learning), Amsterdam, Netherland, Oct. 2016. (arXiv:1608.03075)
  63. Myunggi Lee, Hyeogjin Lee, Jiyong Oh, Hak Jong Lee, Seung Hyup Kim and Nojun Kwak, " Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks", Proc. Int'l Conf. on Neural Information Processing (ICONIP2016), Kyoto, Japan, Oct, 2016.
  64. Jihye Hwang, Younggwang Ji, Nojun Kwak and Eun Yi Kim, " Outdoor context awareness device that enables mobile phone users to walk safely through urban intersections", Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'16), Rome, Italy, Feb. 2016.
  65. John Yang, Hyeogjin Lee and Nojun Kwak, " Kernel Parameter Selection by Gap Maximization between Intra and Inter-Class Samples", Third International Conf. on Big Data and Smart Computing (BigComp'16), Hong Kong, China, Jan. 2016.

    2015

  66. Sungheon Park, Myunggi Lee, Jihye Hwang, John Yang, Jieun Lee and Nojun Kwak, "Object Localization Using Image Classification Score" poster presentation at ICCV2015 Workshop (ImageNet and MS COCO Visual Recognition Challenges Joint Workshop), Santiago, Chile, Dec. 2015.
  67. Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Nojun Kwak, Youngjin Lee, Sangkuk Lee, Myunggi Lee, Sang Yup Yi, Kyong-Sok K.C. Chang, Jaeheung Park, "Approach of Team SNU to the DARPA Robotics Challenge Finals", 2015 IEEE-RAS Int. Conf. on Humanoid Robots (Humanoid'15), Seoul, Korea, November 2015.
  68. Sungheon Park and Nojun Kwak, " Illumination robust optical flow estimation by illumination-chromaticity decoupling", IEEE International Conf. on Image Processing (ICIP'15), Quebec City, Canada, September 2015.
  69. Hyeogjin Lee and Nojun Kwak, " Character recognition for the machine reader zone of electronic identity cards", IEEE International Conf. on Image Processing (ICIP'15), Quebec City, Canada, September 2015.
  70. Minsik Lee, Jieun Lee, Hyeogjin Lee, and Nojun Kwak, " Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering" , IEEE Conf. Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015.
  71. Sungheon Park and Nojun Kwak, " Cultural event recognition by subregion classification with convolutional neural network", Workshop in IEEE Conf. Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015.
  72. Sungheon Park, Myunggi Lee and Nojun Kwak, " Polyp detection in colonoscopy videos using deeply-learned hierarchical features", Presented at ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos, New York, NY, April 2015.
  73. ~ 2014

  74. Kanishka Tyagi, Nojun Kwak and Michael Manry, “ Optimal conjugate gradient algorithm for generalization of linear discriminant analysis based on L1 norm ”, Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'14), pp. 207 - 212, Angers, France, March 2014.
  75. Seaung-Lok, Ham and Nojun Kwak, “ Boosted-PCA for binary classification problems”, Proc. IEEE Int. Symposium on Circuits and Systems (ISCAS'12), Seoul, Korea, May 2012.
  76. Ji-Eun Lee and Nojun Kwak, “ Detection and recovery of occluded face images based on correlation between pixels”, Proc. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM'12), vol. 2, pp. 568 - 571, Vilamoura, Algarve, Portugal, February, 2012.
  77. Jae Hyun Oh and Nojun Kwak, “ Robust face recognition under a polar coordinate system”, Proc. the 2011 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV’11), Las Vegas, NV, July 2011.
  78. Jae Hyun Oh and Nojun Kwak, “ Robust face recognition in a polar coordinate system using LDAr”, Proc. the 2nd International Conf. on Internet (ICONI’10), Mactan Island, the Philippines, Dec. 2010.
  79. Jiyong Oh, Chong-Ho Choi and Nojun Kwak, “ MAP Classifier with BDA features”, Proc. the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), pp.227 – 231, Tianjin, China, Aug. 2009.
  80. Nojun Kwak, Sang-Il Choi, and Chong-Ho Choi, “ Feature extraction for regression problems and an example application for pose estimation of a face”, Proc. Int’l Conf. on Image Analysis and Recognition (ICIAR’08) (Also presented in Lecture Notes in Computer Science, vol. 5112), pp. 435 – 444, Povoa de Varzim, Portugal, July 2008.
  81. Nojun Kwak, “ Feature extraction with weighted samples based on independent component analysis”, Proc. Int’l Conf. on Artificial Neural Networks (ICANN’06) (Also presented in Lecture Notes in Computer Science, vol. 4132), pp. 340 – 349, Athens, Greece, Sep. 2006.
  82. Nojun Kwak and Chunghoon Kim, “ Dimensionality reduction based on ICA for regression problems”, Proc. Int’l Conf. on Artificial Neural Networks (ICANN’06) (Also presented in Lecture Notes in Computer Science, vol. 4131), pp. 1 – 10, Athens, Greece, Sep. 2006.
  83. Nojun Kwak and Chong-Ho Choi, “ Feature extraction using mutual information based on Parzen window”, Proc. Int’l Conf on Artificial Neural Network and Neural Information Processing (ICANN/ICONIP’03), pp. 278 – 281, Istanbul, Turkey, June 2003.
  84. Nojun Kwak, Chong-Ho Choi, and Narendra Ahuja, “ Face recognition using feature extraction based on independent component analysis”, Proc. Int’l Conf. on Image Processing (ICIP’02), vol. 2, pp. 337 – 340, Rochester, New York, Sep. 2002.
  85. Nojun Kwak, Chong-Ho Choi, “ A new method of feature extraction and its stability”, Proc. Int’l Conf. on Artificial Neural Networks (ICANN’02) (Also presented in Lecture Notes in Computer Science, vol. 2415) pp. 480 – 485, Madrid, Spain, Aug. 2002.
  86. Nojun Kwak, Chong-Ho Choi, and Jin-Young Choi, “ Feature Extraction using ICA”, Proc. Int’l Conf. on Artificial Neural Networks (ICANN’01) (Also presented in Lecture Notes in Computer Science, vol. 2130), pp. 568 – 573, Vienna, Austria, Aug. 2001.
  87. Chong-Ho Choi and Nojun Kwak, “ Disturbance attenuation in robot control”, Proc. Int’l Conf. on Robotics and Automation (ICRA’01), vol. 3, pp. 2560 – 2565, Seoul, Korea, May 2001.
  88. Nojun Kwak and Chong-Ho Choi, “ Improved mutual information feature selector for neural networks in supervised learning”, Proc. Int'l Joint Conf. on Neural Networks (IJCNN’99), vol. 2, pp. 1313 – 1318, Washington D.C., July 1999.



International Journals

  1. Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak, "Adaptive Template and Transition Map for Real-Time Video Object Segmentation", IEEE Access (accepted)
  2. Saem Park and Nojun Kwak, "Recurrently-Trained Super-Resolution", IEEE Access (accepted, arXiv version)
  3. Hojun Lee*, Donghwan Yun, Jayeon Yoo*, Kiyoon Yoo*, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Nojun Kwak*, Seung Seok Han, "Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension", Clinical Journal of the American Society of Nephrology, March 2021, vol. 16, no. 3, pp. 396-406 (DOI: https://doi.org/10.2215/CJN.09280620).
  4. Dongsuk Park, Seungeui Lee, SeongUk Park, Nojun Kwak, "Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks", MDPI Sensors, Jan. 2021.
  5. Jihye Hwang, John Yang and Nojun Kwak, "Exploring Rare Pose in Human Pose Estimation," in IEEE Access, Oct. 2020, doi: 10.1109/ACCESS.2020.3033531.
  6. Jieun Lee, Hyeogjin Lee, Minsik Lee and Nojun Kwak, "Nonparametric Estimation of Probabilistic Membership for Subspace Clustering", IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1023-1036, March 2020.
  7. Jihoon Kwon and Nojun Kwak, "Radar Application: Stacking Multiple Classifiers for Human Walking Detection using Micro-Doppler Signals", Applied Sciences, 9(17), 3534, Aug. 2019.
  8. Gyuejeong Lee, Jihoon Kwon, Nojun Kwak and Eunjung Yang, "Robust Measurement Validation for Radar Target Tracking using Prior Information", IET Radar, Sonar & Navigation, vol. 13, no. 10, pp. 1842 - 1849, Oct. 2019.
  9. Sung Joon Son, Youngmin Song, Namki Kim, Yonghae Do, Nojun Kwak, Mu Sook Lee, Byoung-Dai Lee, "TW3-based Fully Automated Bone Age Assessment System using Deep Neural Networks", IEEE Access, vol. 7, pp. 33346 - 33358, March 2019.
  10. Junho Song, Young Jun Chai, Hiroo Masuoka, Sun-Won Park, Su-jin Kim, June Young Choi, Hyoun-Joong Kong, Kyu Eun Lee, Joongseek Lee, Nojun Kwak, Ka Hee Yi, Akira Miyauchi, "Ultrasound image analysis using deep learning algorithm for the diagnosis of thyroid nodules", Medicine, vol. 98, no. 15, April 2019.
  11. Sungheon Park and Nojun Kwak, "Independent Component Analysis by lp-norm Optimization", Pattern Recognition, vol. 76, no. 4, pp. 752 - 760, April 2018.
  12. Sungheon Park, Minsik Lee and Nojun Kwak, "Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation", IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 249 - 264, Jan. 2018. (Video Available)
  13. Nojun Kwak, "Implementing kernel methods incrementally by incremental nonlinear projection trick", IEEE Transactions on Cybernetics, vol. 47, no. 11, pp.4003 - 4009, Nov. 2017.
  14. Jiyong Oh, Sung Joon Son, Sangkuk Lee, Ji-Won Kwon and Nojun Kwak, "Online recognition of handwritten music symbols", International Journal of Document Analysis and Recognition, vol. 20, no. 2, pp. 79 - 89. June 2017.
  15. Sanghyun Kim, Mingon Kim, Jimin Lee, Soonwook Hwang, Joonbo Chae, Beomyeong Park, Hyunbum Cho, Jaehoon Sim, Jaesug Jung, Hosang Lee, Seho Shin, Minsung Kim, Wonje Choi, Yisoo Lee, Sumin Park, Jiyong Oh, Yongjin Lee, Sangkuk Lee, Myunggi Lee, Sangyup Yi, Kyong-Sok K.C. Chang, Nojun Kwak, and Jaeheung Park "Team SNU's Control Strategies to Enhancing Robot’s Capability: Lessons from the DARPA Robotics Challenge Finals 2015", Journal of Field Robotics, vol. 34, no. 2, pp. 359 - 380, March 2017.
  16. Jiyong Oh and Nojun Kwak, "Generalized mean for robust principal component analysis", Pattern Recognition, vol. 54, pp. 116-127, June 2016.
  17. Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, and Songhwai Oh, " Efficient L1-Norm-Based Low-Rank Matrix Approximations for Large-Scale Problems Using Alternating Rectified Gradient Method", IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 2, pp. 237 - 251, Feb. 2015.
  18. Nojun Kwak “ Principal component analysis by Lp-norm maximization”, IEEE Transactions on Cybernetics, vol.44, no. 5, pp. 594 - 609, May 2014.
  19. Nojun Kwak, " Nonlinear Projection Trick in Kernel Methods: An Alternative to the Kernel Trick", IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 12, pp. 2113 - 2119, Dec. 2013.
  20. Jiyong Oh, Nojun Kwak, Minsik Lee and Chong-Ho Choi, “ Generalized mean for feature extraction in one-class classification problems”, Pattern Recognition, vol. 46, no. 12, pp. 3328 - 3340, Dec. 2013.
  21. Jae Hyun Oh and Nojun Kwak, “ Generalization of linear discriminant analysis using Lp-norm”, Pattern Recognition Letters, vol. 34, no. 6, pp. 679 - 685, April 2013.
  22. Sang-Il Choi, Chong-Ho Choi, Gu-Min Jeong and Nojun Kwak, “ Pixel selection based on discriminant features with application to face recognition”, Pattern Recognition Letters, vol. 33. no. 7, pp. 1083 - 1092, July 2012.
  23. Jae Hyun Oh and Nojun Kwak, “ Recognition of a driver's gaze for vehicle headlamp control”, IEEE Transactions on Vehicular Technology, vol. 61, no. 5, pp. 2008 - 2017, June 2012.
  24. Nojun Kwak, “ Kernel discriminant analysis for regression problems”, Pattern Recognition, vol. 45, no. 5, pp. 2019 - 2031, May 2012.
  25. Jungtai Kim, Hyun Jong Yang and Nojun Kwak, “ Low-angle tracking of two objects in three-dimensional beamspace domain”, IET Radar, Sonar & Navigation, vol. 6, no. 1, Jan. 2012.
  26. Eun-Chan Park, Nojun Kwak, Suk Kyu Lee, Jong-Kook Kim and Hwangnam Kim, “ Provisioning QoS for WiFi-enabled Portable Devices in Home Networks”, KSII Trans. on Internet and Information Systems, vol. 5, no. 4, pp. 720 – 740, April, 2011.
  27. Sang-Il Choi, Chong-Ho Choi and Nojun Kwak, “ Face recognition based on 2D images under illumination and pose variations”, Pattern Recognition Letters, vol. 32, pp. 561 – 571, March 2011.
  28. Nojun Kwak and Jung-Won Lee “ Feature extraction based on subspace methods for regression problems”, Neurocomputing, vol. 73, no. 10, pp. 1740 – 1751, June 2010.
  29. Gu-Min Jeong, Hyun-Sik Ahn, Sang-Il Choi, Nojun Kwak, and Chanwoo Moon, " Pattern Recognition Using Feature Feedback: Application to Face Recognition", International Journal of Control, Automation, and Systems, vol. 8, no. 1, pp. 141– 148, Jan. 2010.
  30. Nojun Kwak and Jiyong Oh, “ Feature extraction for one-class classification problem: Enhancements to biased discriminant analysis”, Pattern Recognition, vol. 42, no. 1, pp. 17 – 26, Jan. 2009.
  31. Nojun Kwak, “ Principal component analysis based on L1 norm maximization”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 9, pp. 1672 – 1680, Sep. 2008.
  32. Nojun Kwak, Chunghoon Kim and Hwangnam Kim, “ Dimensionality reduction based on ICA for regression problems”, Neurocomputing, vol. 71, no. 13, pp. 2596 – 2603, Aug. 2008.
  33. Nojun Kwak, “ Feature extraction for classification problems and its application to face recognition”, Pattern Recognition, vol. 41, no. 5, pp. 1701 – 1717, May 2008.
  34. Nojun Kwak, “ Feature extraction based on direct calculation of mutual information”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 21, no. 7, pp. 1213 – 1231, Nov. 2007.
  35. Chong-Ho Choi and Nojun Kwak, “ Robust control of robot manipulator by model-based disturbance attenuation”, IEEE/ASME Transactions on Mechatronics, vol. 8, no. 4, pp. 511 – 513, Nov./Dec. 2003.
  36. Nojun Kwak and Chong-Ho Choi, “ Feature extraction based on ICA for binary classification problems”, IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 6, pp. 1374 – 1388, Nov. 2003.
  37. Nojun Kwak and Chong-Ho Choi, “ Input feature selection by mutual information based on Parzen window”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1667-1671, Dec. 2002.
  38. Nojun Kwak and Chong-Ho Choi, “ Input feature selection for classification problems”, IEEE Transactions on Neural Networks, vol. 13, no. 1, pp. 143 – 159, Jan. 2002.


Domestic Journals

  1. 이규정, 곽노준, 권지훈, 양은정, 김관성 "TWS 레이더 추적을 위한 가중 점수 기반 추적 초기화알고리즘 연구", 한국군사과학기술학회 논문지, 22권, 1호, pp. 1 - 10, 2019년 1월.
  2. 현민성, 곽노준, "심층 강화학습을 활용한 산업디자인", 제어로봇시스템학회 논문지, 24권, 12호, pp. 1194 - 1198, 2018년 12월.
  3. 권지훈, 하성재, 곽노준, "사람 걸음 탐지 및 배경잡음 분류 처리를 위한 도플러 레이다용 딥뉴럴네트워크", 한국전자파학회논문지, 29권, 7호, pp. 550 - 559, 2018년 7월.
  4. 곽노준, 정지수, "자율주행자동차를 위한 영상인식기술 동향", 한국자동차공학회 오토저널, 제 40권, 6호, pp. 32 - 36, 2018년 6월.
  5. 김태경, 곽노준, 최상일, "편향 판별 분석을 이용한 차선 검출", 한국컴퓨터정보학회 논문지, 제22권 제3호 (통권 제156호), pp. 27-34, 2017년 3월.
  6. 권지훈, 곽노준, 하성재, 한승훈, 윤여선, 양동원, "지뢰탐지용 48채널 배열 UWB 임펄스 레이더 방식 지면투과레이더시스템 개발", 대한전자공학회논문지, 53권, 12호, pp. 1765 - 1774, 2016년 12월.
  7. 김지수, 곽노준, "이동정보를 배제한 위치추정 알고리즘", 제어로봇시스템학회논문지, 22권, 11호, pp. 883 - 887, 2016년 11월.
  8. 권지훈, 강성철, 곽노준, “TBD 처리를 위한 레이더용 파티클 필터 기법 연구”, 한국전자파공학회논문지, 27권, 3호, pp. 317 – 325, 2016년 3월.
  9. 이용진, 양정하, 곽노준, “스마트카를 위한 차선변경 인식시스템”, 제어로봇시스템학회논문지, 21권, 1호, pp. 46 – 51, 2015년 1월.
  10. 함승록, 곽노준, “특징 추출 알고리즘과 Adaboost를 이용한 이진분류기”, 대한전자공학회논문지, 49권, CI편, 4호, pp. 42 – 53, 2012년 7월.
  11. 서지원, 이지은, 곽노준, “사각특징을 추가한 Viola-Jones 물체 검출 알고리즘”, 대한전자공학회논문지, 49권, SP편, 3호, pp. 18 – 29, 2012년 5월.
  12. 이지은, 곽노준, “상관관계에 기반한 가려진 얼굴 영상 검출 및 복원”, 대한전자공학회논문지, 48권, SP편, 5호, pp. 72 – 83, 2011년 9월.
  13. 박승환, 곽노준, “SVM과 PCA를 이용한 국부 외형 기반 얼굴 인식 방법”, 대한전자공학회논문지, 47권, SP편, 3호, pp. 54 – 60, 2010년 5월.
  14. 오재현, 곽노준, “극좌표계 변환에 기반한 얼굴 인식 방법”, 대한전자공학회 논문지, 47권, SP편, 1호, pp. 44– 52, 2010년 1월.
  15. 오재현, 곽노준, “LDA를 이용한 얼굴인식에서의 Small Sample Size 문제 해결을 위한 Resampling 방법”, 대한전자공학회 논문지, 46권, SP편, 2호, pp. 78 – 88, 2009년 3월.


Domestic Conferences

  1. 이호준, 정인섭, 곽노준, " 멀티모달 센서를 활용한 객체 검출 프레임워크", 제 16회 한국로봇종합학술대회, 2021년 5월 21일.
  2. 서건석, 유재영, 최재석, 곽노준, " 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출", 제 29회 신호처리합동학술대회, 2019년 9월 26일.
  3. 박성헌, 이지은, 곽노준, " 다중프레임 관계 신경망을 이용한 3차원 사람 자세 추정", 제 31회 영상처리 및 이해에 관한 워크샵, 2019년 2월 14일.
  4. 원혜민, 황지혜, 김지수, 곽노준, " 환경 정보와 인간의 얼굴 정보에 기반한 이미지 추천 시스템", 제 31회 영상처리 및 이해에 관한 워크샵, 2019년 2월 14일.
  5. 이규정, 곽노준, " 가중치 허프 변환 기반 트랙 초기화 알고리즘 연구" 2018 한국군사과학기술학회 종합학술대회, 제주 국제컨벤션센터, 2018년 6월 15일.
  6. 심재훈, 김승연, 곽노준, 박재흥, "강화학습을 활용한 펙인홀 작업의 힘 경로 학습, 2018 제33회 제어로봇시스템학회 학술대회, 2018.5, 206-207.
  7. 박규태, 손성준, 이명기, 곽노준, " Lung Cancer Diagnosis Using Deep Convolutional Neural Network", 제 30회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2018년 2월 8일.
  8. 박성헌, 곽노준, " 스테레오 영상 기반 3차원 반도체 동일평면성 측정 알고리즘", 제 30회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2018년 2월 8일.
  9. 정지수, 박효진, 황지혜, 박규태, 곽노준, " 객체 사이의 관계를 고려한 객체검출 알고리즘", 제 30회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2018년 2월 8일.
  10. 이상호, 유재영, 곽노준, " 고위정보 특징을 이용한 향상된 노이즈 제거", 제 30회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2018년 2월 8일.
  11. 박규태, 곽노준, " 합성곱 신경망과 장단기 기억 신경망을 이용한 이미지 내에서의 집단 수준의 행복한 감정의 강도 예측", 제 29회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2017년 2월 17일.
  12. 손성준, 곽노준, " 표면 근전도를 이용한 순환 신경망 기반의 손동작 분류", 제 29회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2017년 2월 16일.
  13. 이상호, 허준희, 곽노준, " 얼굴과 신체의 영상 정보를 조합한 비제약적 환경에서의 사용자 인식", 제 29회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2017년 2월 16일.
  14. 권지훈, 강성철, 곽노준, "레이더용 파티클 필터 추적 기법 연구", 2016년 한국전자파학회 하계종합학술대회, 제주 메종글래드호텔, 2016년 6월 17일.
  15. 권지훈, 곽노준, "도플러 레이더 패턴 인식을 통한 인간 보행 감지 및 배경잡음 제거 기법", 2016년 한국자동차공학회 춘계학술대회, 제주 라마다호텔, 2016년 5월 20일.
  16. 양한열, 이혁진, 양정하, 곽노준, “같은 클래스와 다른 클래스 샘플들의 상대적 거리 최대화로 구현한 커널 파라미터 선택“, 제 28회 신호처리합동학술대회, 오크밸리, 2015년 11월 28일.
  17. 원혜민, 곽노준, "걸음걸이 인식을 이용한 개인 인증", 제 27회 신호처리합동학술대회, 서울대학교, 2014년 9월 26일.
  18. 이혁진, 오지용, 곽노준, "비선형 투영 기법을 이용한 비선형 부분 공간 학습", 제 27회 신호처리합동학술대회, 서울대학교, 2014년 9월 26일.
  19. 이혁진, 곽노준, "FFT를 이용한 전자여권의 회전각도 찾기", 제 26회 영상처리 및 이해에 관한 워크샵, 제주그랜드호텔, 2014년 2월 12일.
  20. 김신곤, 오지용, 곽노준, "획의 크기 정보에 기반한 음악기호 인식 알고리즘", 제 26회 영상처리 및 이해에 관한 워크샵, 제주그랜드호텔, 2014년 2월 12일.
  21. 이혁진, 곽노준, “프레임간의 차이를 이용한 조명 변화에 강인한 운동선수 검출 알고리즘”, 제 26회 신호처리합동학술대회논문집, 제 26권 1호, pp. 234 - 235, KAIST, 2013년 10월 11일.
  22. 김태협, 곽노준, “Histograms of Oriented Gradients 특징 추출을 이용한 전방 차량 인식”, 제 26회 신호처리합동학술대회논문집, 제 26권 1호, pp. 199 - 201, KAIST, 2013년 10월 11일.
  23. 이용진, 곽노준, “무인자동차 구현을 위한 모폴로지 기반 도로 정보 인식”, 제 25회 영상처리 및 이해에 관한 워크샵, 제주그랜드호텔, 2013년 2월 19일.
  24. 이혁진, 곽노준, “히스토그램 연속화를 이용한 영상 개선”, 제 25회 영상처리 및 이해에 관한 워크샵, 제주그랜드호텔, 2013년 2월 19일.
  25. 이혁진, 곽노준, “에지를 이용한 템플릿 매칭의 효율 향상”, 제 25회 신호처리합동학술대회논문집, 제 25권 1호, 성균관대학교, 2012년 9월 22일.
  26. 함승록, 곽노준, “Boosted-PCA를 이용한 이진분류기”, 제 24회 신호처리합동학술대회논문집, 제 24권 1호, 광주과학기술원, 2011년 9월 24일.
  27. 오재현, 곽노준, "극좌표계에서 회전에 강인한 LDAr을 이용한 얼굴 인식", 한국방송공학회 2010 추계학술대회, 한양대학교, 2010년 11월 13일.
  28. 서지원, 곽노준, “사각 지역 차량 감지 영상 처리 알고리즘”, 한국방송공학회 2010 추계학술대회, 한양대학교, 2010년 11월 13일.
  29. 이지은, 곽노준, “상관관계를 이용한 얼굴의 가려진 영역 검출 및 복원”, 한국방송공학회 2010 추계학술대회, 한양대학교, 2010년 11월 13일.
  30. 김성민, 곽노준, “회귀문제를 위한 비선형 특징 추출 방법”, 한국방송공학회 2010 추계학술대회, 한양대학교, 2010년 11월 13일.
  31. 오재현, 곽노준, “극좌표계를 이용한 조명보정과 얼굴인식”, 제 22회 영상처리 및 이해에 관한 워크샵, 제주 그랜드 호텔, 2010년 1월 27일.
  32. 오재현, 곽노준, “얼굴인식에서 극좌표계 변환 방법을 이용한 인식률 향상 방법”, 제 22회 신호처리 합동학술대회 논문집, 제 22권, 1호, pp. 279 – 280, 2009년 9월 26일.
  33. 박승환, 곽노준, “SVM과 PCA를 이용한 국부 외형 기반 얼굴 인식”, 제 22회 신호처리 합동학술대회 논문집, 제 22권, 1호, pp. 281 – 282, 2009년 9월 26일.
  34. 오지용, 곽노준, 최종호, “분류 문제를 위한 BDA의 사후 확률 결정”, 대한전자공학회 추계학술대회, 제 31권, 2호, pp. 847 – 848, 2008년 11월.
  35. 오재현, 곽노준, 최태영, “얼굴인식에서의 small sample size 문제 해결을 위한 resampling 방법”, 정보 및 제어 심포지움, 건국대학교, 2008년 4월 25일
  36. 곽노준, Future Converged Radio Access System, The 14th Korea Internet Conference: KRnet 2006, 코엑스 인터컨티넨털 호텔, 2006년 6월 27일
  37. 곽노준, 최종호, 김유철, 신희정, "ICA에 기반한 얼굴인식", 2001 한국 뇌학회 학술대회 논문집, pp.121-122, 2001년 6월.


Korean Patents (Registered, may not be a complete list)

  1. 경계박스 중복제거장치 및 그 장치의 구동방법, 대한민국특허 1022749130000, 2021. 07. 02.
  2. 영상 처리 및 기계 학습에 기초한 뼈 나이 판독 장치 및 방법, 대한민국특허 1019612150000, 2019. 03. 20.
  3. 이동통신시스템에서 액티브모드 단말기의 인접 셀에 대한메저먼트 방법 및 장치, 대한민국특허 1013574140000, 2014. 1. 23.
  4. 이동 통신 시스템에서 전송 패킷을 버퍼링하는 방법 및장치, 대한민국특허, 1013416970000, 2013. 12. 9.
  5. 상관관계를 이용한 가려진 얼굴 영상 검출 및 복원 방법, 대한민국특허 1013083470000, 2013. 9. 6.
  6. 고속 순방향 패킷 접속 시스템의 프로토콜 데이터 전송방법 및 장치, 대한민국특허 1012760240000, 2013. 6. 11.
  7. 이기종 이동통신 시스템 간의 무손실 핸드오버 방법 및장치, 대한민국특허 1012595140000, 2013. 4. 24.
  8. 이동 통신 시스템에서 연결 상태에 있는 단말이 불연속적수신 동작을 수행하는 방법 및 장치, 대한민국특허 1012214430000, 2013. 1. 7.
  9. 프로브 영상 변환을 이용한 얼굴 인식 시스템 및 방법, 대한민국특허 1012132800000, 2012. 12. 11.
  10. 이동통신 시스템에서 아이들모드 단말기의 세션 설정 프로토콜 데이터를 전송하는 방법 및 장치, 대한민국특허 1012132850000, 2012. 12. 11.
  11. 입력 영상 변환을 이용한 얼굴 인식 시스템 및 방법, 대한민국특허 1011852290000, 2012. 9. 17.
  12. 사각 특징과 분산 특징을 추가한 비올라 존스 물체 검출, 대한민국특허 1011628780000, 2012. 6. 28.
  13. 이동통신 시스템에서 트래픽 채널을 미리 설정하는 방법, 대한민국특허 1011610250000, 2012. 6. 22.
  14. 이동통신 시스템에서 랜덤 액세스 채널 메시지를 이용한 주파수간 메저먼트 보고/수신 방법 및 장치와 이를 이용한 핸드 오버 방법 및 시스템, 대한민국특허 1011557940000, 2012. 6. 5.
  15. 이동통신 시스템에서 버퍼 상태의 보고 방법 및 장치, 대한민국특허 1011362520000, 2012. 4. 5.
  16. 통신 시스템에서의 전송 포맷 구성 방법 및 장치, 대한민국특허 1011247620000, 2012. 2. 29.
  17. 상향링크 패킷 데이터 서비스에서 패킷 재정렬을 위한패킷 폐기 정보 전달 방법 및 장치, 대한민국특허 1010756130000, 2011.10.14.
  18. 이기종 시스템 간의 핸드오버 방법 및 장치, 대한민국특허 1010427630000, 2011. 6. 13.
  19. 멀티미디어 방송/멀티캐스트 서비스 시스템에서 서비스 세션의 종료시 셀 선택 지시 방법 및 이를 위한 시스템, 대한민국특허 1009656590000, 2010. 6. 15.
  20. 이동 통신 시스템에서 라우팅 에어리어 관리 방법 및 장치, 대한민국특허 1009468920000, 2010. 3. 3.
  21. 고속 순방향 패킷 접속 시스템을 위한 셀 선택 방법 및 장치, 대한민국특허 1008662250000, 2008. 10. 24.
  22. 패킷망을 통해 음성 서비스를 지원하는 이동통신시스템에서 음성 서비스의 전송률을 제어하는 방법 및 장치, 대한민국특허 1008007940000, 2008. 1. 28.
  23. 데이터전송 제어방법, 대한민국특허 1008008460000, 2008. 1. 28.
  24. 이동통신 시스템에서 기지국 추산 버퍼 상태 정보를 이용한 버퍼 상태 보고 방법 및 장치, 대한민국특허 1007708630000, 2007. 10. 22.
  25. 기지국 장치 및 이를 이용한 무선 자원 관리 방법, 대한민국특허 1007626470000, 2007. 9. 20.
  26. 이동통신 시스템에서 전송 포맷 조합 셋의 설정 방법 및 장치, 대한민국특허 1007352850000, 2007. 6. 27.
  27. 단말 장치와 그의 전송률 제어 방법, 대한민국특허 1007352710000, 2007. 6. 27.
  28. 멀티미디어 방송/멀티캐스트 서비스 시스템에서 선호주파수정보의 전달 방법 및 장치, 대한민국특허 1006895160000, 2007. 2. 23.
  29. 단말의 이동성에 따른 멀티미디어/멀티캐스트 방송 서비스제공 방법 및 장치, 대한민국특허 1006634170000 2006. 12. 22.
  30. 멀티미디어 방송/멀티캐스트 서비스를 위한 부분결합 방법및 장치, 대한민국특허 1006634230000, 2006. 12. 22.



US Patents (Registered, may not be a complete list)

  1. Method and apparatus for discontinuous reception of connected terminal in a mobile communication system, US patent, 09681488 (2017.06.13)
  2. Method and apparatus for reporting inter-frequency measurement using RACH message in a mobile communication system, US patent, 08270365 (2012.09.18)
  3. Fast cell selection method and apparatus for high speed downlink packet access system, US patent, 08055263 (2011.11.08)
  4. Method of managing radio resources and node B apparatus implementing the same, US patent, 08271016 (2012.09.18)
  5. Method and apparatus for transmitting SIP data of idle mode UE in a mobile communication system, US patent, 08335197 (2012.12.18)
  6. Method and apparatus for indicating preferred layer information in multimedia broadcast/multicast service (MBMS), US patent, 08050679 (2011.11.01)
  7. Partial combining method and apparatus for multimedia broadcast/multicast service, US patent, 07499435 (2009.03.03)
  8. User equipment and method for controlling data rate thereof, US patent, 07496075 (2009.02.24)
  9. Method and apparatus for controlling rate of voice service in a mobile communication system supporting voice service via packet network, US patent, 08681625 (2014.03.25)
  10. Method for controlling data transmission, US patent, 08116268 (2012.02.14)
  11. Handover method and apparatus between different systems, US patent, 07953042 (2011.05.31)
  12. Method of efficiently transmitting control information for multimedia broadcast/multicast service, US patent, 07450933 (2008.11.11)
  13. Method and apparatus for providing multimedia broadcast/multicast service according to mobility of user equipment, US patent, 07969938 (2011.06.28)
  14. Method and apparatus for indicating cell selection when a session is stopped in a multimedia broadcast/multicast service system, US patent, 07636332 (2009.12.22)
  15. Method and apparatus for configuring transport format combination set in a mobile communication system, US patent, 07626964 (2009.12.01)
  16. Method and apparatus for managing routing area in mobile communication system, US patent, 07962138 (2011.06.14)



Thesis (Students)

  1. 황지혜, "2D Human Pose Estimation and Tracking with Spatial and Temporal Features", 박사학위논문, 서울대학교, 2021년 2월
  2. 정서형, "Exploring Question Answering Tasks with the Language Model, BERT", 석사학위논문, 서울대학교, 2021년 2월
  3. 박동석, "Convolutional Neural Network-based UAV Classification Using Radar Spectrogram", 석사학위논문, 서울대학교, 2021년 2월
  4. 권지훈, "Particle Filter Combined CFAR for Track-Before-Detect Processing of Pulse Doppler Radar", 박사학위논문, 서울대학교, 2020년 2월
  5. 이규정, "Exploiting Velocity Information to Alleviate Association Uncertainty in Radar Dim Target Tracking", 박사학위논문, 서울대학교, 2020년 2월
  6. 서건석, "KL-Divergence-Based Region Proposal Network for Object Detection", 석사학위논문, 서울대학교, 2020년 2월
  7. 김대식, "Exploitation of Visual Relationships for Semantic Image Understanding", 박사학위논문, 서울대학교, 2019년 8월
  8. 박성헌, "3D Reconstruction, Weakly-Supervised Learning, and Supervised Learning Methods for 3D Human Pose Estimation", 박사학위논문, 서울대학교, 2019년 2월
  9. 이지은, "Membership Representation for Subspace Clustering", 박사학위논문, 아주대학교, 2019년 2월
  10. 장시명, "Broadcasting Convolutional Network for Visual Relational Reasoning", 석사학위논문, 서울대학교, 2019년 2월
  11. 최준영, "Task-Oriented Design Through Deep Reinforcement Learning", 석사학위논문, 서울대학교, 2019년 2월
  12. 박규태, "Lung Cancer Diagnosis Using Deep Convolutional Neural Network", 석사학위논문, 서울대학교, 2018년 2월
  13. 이경민, "Structural Improvements of Single Stage Networks for Object Detection", 석사학위논문, 서울대학교, 2018년 2월
  14. 양한열, "Multiple Kernel Learning by Gap Maximization between Calsses in RKHS", 석사학위논문, 서울대학교, 2016년 2월
  15. 김태협, "다양한 특징추출 알고리즘을 이용한 전방 차량 인식률 비교", 석사학위논문, 아주대학교, 2014년 2월.
  16. 이혁진, "전자신분증의 기계판독영역을 위한 영상판독 알고리즘", 석사학위논문, 아주대학교, 2014년 2월.
  17. 오재현, "Extensions of linear discriminant analysis for classification and regression problems", 박사학위논문, 아주대학교, 2013년 2월.
  18. 함승록, "특징 추출 알고리즘과 Adaboost를 이용한 이진분류기", 석사학위논문, 아주대학교, 2012년 2월.
  19. 서지원, "사각특징을 추가한 Viola-Jones 물체 검출 알고리즘", 석사학위논문, 아주대학교, 2011년 8월.
  20. 이지은, "상관관계를 이용한 영상의 가려진 영역 검출 및 복원", 석사학위논문, 아주대학교, 2011년 2월.
  21. 박승환, "국부 외형 기반 얼굴 인식에 관한 연구", 석사학위논문, 아주대학교, 2010년 8월.
  22. 오재현, "영상인식에서의 Small Sample Size 문제 해결을 위한 Resampling 방법", 석사학위논문, 아주대학교, 2008년 8월.



Awards & Honors

  1. Phase Selective Convolution got Best Paper Award, Embedded Vision Workshop @ CVPR2021
  2. POSETRACK CHALLENGE at ECCV2018 workshop (Honorable Mention Award, More info.)
  3. 과학기술정보통신부장관 표창 (제 21635호, 융합연구 활성화에 기여), 2017년 11월 23일.
  4. Textbook Question Answering Challenge (CVPR 2017 Workshop, 4th both in Text Question and Diagram Question)
  5. Charades Action Recognition Challenge (CVPR 2017 Workshop, 5th place)
  6. Kaggle Data Science Bowl 2017 Challenge (35th place among 1,972 teams)
  7. Imagenet Challenge (localization) (ICCV 2015 Workshop, Poster Presentation)
  8. ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos (3rd place)
  9. ChaLearn Looking at People - Cultural Event Classification Challenge (CVPR 2015 Workshop, 3rd place)
  10. DARPA Robotics Challenge Finals 2015 (12th place among 25 teams, co-leaded Team-SNU)
  11. Korean Autonomous Vehicle Contest 2013 (4th place among 10 final teams, co-leaded Team-ADAM)
  12. SL SeoBong Research Award 2008, 30 million Won (US $ 30,000)



Invited Talks

  1. Position-based Scaled Gradient for Model Quantization, in International Workshop on Highly Efficient Neural Processing (HENP), Online, Sep. 2020.
  2. Maximizing L1 norm in data analysis, in The First International Symposium on System Informatics and Engineering, Qingdao, China, 2011.
  3. L1 norm optimization in subspace learning methods, in AI-2011 Thirty-first SGAI International Conference on Artificial Intelligence, Cambridge, UK, 2011.



Others (Columns)

  1. 곽노준, "독불장군에게 미래는 없다", 서울대학교 대학신문, 2021년 4월 11일
  2. 곽노준, "인공지능의 현황과 전망", BK21플러스 웹진 16호, 2018년 6월.
  3. 곽노준, 박성헌, 김대식,“딥러닝 기술 동향: CNN과 RNN을 중심으로”, 주간기술동향, 1745호, pp. 13 – 25, 2016년 5월 11일.
  4. 곽노준, "알파고 소회", Finantial IT Frontier (코스콤 사보), pp.60 - 61, 2016년 봄호.