International
Conferences
2025
Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization
Yeji Song, Jimyeong Kim, Wonhark Park, Wonsik Shin, Wonjong Rhee, Nojun Kwak , The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Feb. 2025. (accepted, arXiv, github)TPD-STR: Text Polygon Detection with Split Transformers
Sangyeon Kim, Sangkuk Lee, Jeesoo Kim, Nojun Kwak, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Feb. 2025. (accepted)
2024
1. SketcherX: AI-Driven Interactive Robotic drawing with Diffusion model and Vectorization Techniques
Jookyung Song, Mookyung Kang, Nojun Kwak
The Thirty-Eighth Annual Conference on Neural Information Processing Systems Creative AI Track
(NeurIPS 2024 Creative AI Track), Dec. 2024. (arXiv)
2. Deep Support Vectors
Junhoo Lee, Hyunho Lee, Kyomin Hwang, Nojun Kwak,
The Thirty-Eighth Annual Conference on Neural Information Processing Systems
(NeurIPS 2024), Dec. 2024. (arXiv)
3. MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline
Donghoon Han, Eunhwan Park, Gisang Lee, Adam Lee, Nojun Kwak,
The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Nov. 2024. (arXiv)
4. A Revisit to the Decoder for Camouflaged Object Detection
Seung Woo Ko, Joopyo Hong, Suyoung Kim, Seungjai Bang, Sungzoon Cho, Nojun Kwak, Hyung-Sin Kim, Joonseok Lee,
The 35th British Machine Vision Conference (BMVC 2024), Nov. 2024. (arXiv)
5. Practical Dataset Distillation Based on Deep Support Vector
Hyunho Lee, Junhoo Lee, Nojun Kwak, The First Dataset Distillation Challenge
(ECCV 2024 Workshop), Oct. 2024. (arXiv)
6. SAVE: Protagonist Diversification with Structure Agnostic Video Editing
7. Exploring Causal Mechanisms for Machine Text Detection Methods
KiYoon Yoo, Wonhyuk Ahn, Yeji Song, and Nojun Kwak,
4th Workshop on Trustworthy Natural Language Processing (NAACL 2024 Workshop), June 2024. (arXiv)
8. Team MIPAL at MEDIQA-M3G 2024: Large VQA Models for Dermatological Diagnosis
Hyeonjin Kim, Min Kyu Kim, Jae Won Jang, KiYoon Yoo, Nojun Kwak,
The 6th Clinical Natural Language Processing Workshop (NAACL 2024 Workshop), June 2024. (arXiv)
9. Coreset Selection for Object Detection
Hojun Lee, Suyoung Kim, Junhoo Lee, Jaeyoung Yoo, Nojun Kwak,
1st Workshop on Dataset Distillation for Computer Vision (CVPR 2024 Workshop), June 2024. (arXiv)
10. Do not think about pink elephant!
Kyomin Hwang, Suyoung Kim, Junhoo Lee, Nojun Kwak,
Responsible Generative AI Workshop (CVPR 2024 Workshop), June 2024. (arXiv)
11. Unleash the Potential of CLIP for Video Highlight Detection
Donghoon Han, Seunghyeon Seo, Eunhwan Park, Seong-Uk Nam, Nojun Kwak,
Efficient Large Vision Models (CVPR 2024 Workshop), June 2024. (arXiv)
12. Advancing Beyond Identification: Multi-bit Watermark for Large Language Models
KiYoon Yoo, Wonhyuk Ahn, Nojun Kwak
Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), June 2024. (arXiv)
13. What, How, and When Should Object Detectors Update in Continually Changing Test Domains?
Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), June 2024. (arXiv)
14. Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features
Inseop Chung, KiYoon Yoo, Nojun Kwak
Workshop on Data-centric Machine Learning Research (DMLR) (ICLR 2024 Workshop), May 2024, (arXiv)
15. Semi-Supervised Domain Adaptation for Wildfire Detection
Joo Young Jang, Youngseo Cha, Jisu Kim, SooHyung Lee, Geonu Lee, Minkook Cho, Young Hwang, Nojun Kwak
Tackling Climate Change with Machine Learning (ICLR 2024 Workshop), May 2024. (arxiv)
16. Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition
Sangyu Han, Yearim Kim, Nojun Kwak
The Twelfth International Conference on Learning Representations (ICLR 2024), May. 2024. (arXiv)
17. Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee, Nojun Kwak
Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 2024. (arXiv)
18. Fast Sun-aligned Outdoor Scene Relighting based on TensoRF
Yeonjin Chang, Yearim Kim, Seunghyeon Seo, Jung Yi, Nojun Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision 2024 (WACV 2024), Jan. 2024. (arXiv)
2023
1. ConcatPlexer : Additional Dim1 Batching for Faster ViTs
Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak
NeurIPS 2023 Workshop oral (Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization), Dec. 2023. (arXiv)
2. SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
3. Finding Efficient Pruned Network via Refined Gradients for Pruned Weights
Jangho Kim, Jayeon Yoo, Yeji Song, KiYoon Yoo, Nojun Kwak
The 31st ACM International Conference on Multimedia (ACM MM 2023), Oct. 2023 (arXiv)
4. FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis
5. MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model
6. Robust Multi-bit Natural Language Watermarking through Invariant Features
7. End-to-End Multi-Object Detection with a Regularized Mixture Model
8. AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion
Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak
CVPR 2023 Workshop (AI for Content Creation), June 2023 (arXiv, GitHub)
9. MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs
10. Semantics-Guided Object Removal for Facial Images: with Broad Applicability and Robust Style Preservation
Jookyung Song, Yeonjin Chang, SeongUk Park, Nojun Kwak
2023 International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), June 2023
11. Sound-Based Sleep Staging By Exploiting Real-World Unlabeled Data
JongMok Kim, Daewoo Kim, Eunsung Cho, Hai Hong Tran, Joonki Hong, Dongheon Lee, JungKyung Hong, In-Young Yoon, Jeong-Whun Kim, Hyeryung Jang, Nojun Kwak
ICLR 2023 Workshop (Workshop on Time Series Representation Learning for Health), May 2023
12. Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance
Chaerin Kong, Nojun Kwak
ICLR 2023 Workshop (Multimodal Representation Learning (MRL): Perks and Pitfalls), May 2023 (GitHib)
13. Unifying Vision-Language Representation Space with Single-tower Transformer
Jiho Jang, Chaerin Kong, DongHyeon Jeon, Seonhoon Kim, Nojun Kwak
Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), Feb. 2023
14. Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation
15. Self-Distilled Self-Supervised Representation Learning
16. Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation
2022
1. Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling
KiYoon Yoo, Nojun Kwak
The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), December 2022 (Oral) (arXiv)
2. Towards Efficient Neural Scene Graphs by Learning Consistency Fields
3. Few-shot Image Generation with Mixup-based Distance Learning
4. Unsupervised Domain Adaptation for One-Stage Object Detector using Offsets to Bounding Box
5. Variational On-the-Fly Personalization
Jangho Kim, Jun-Tae Lee, Simyung Chang, Nojun Kwak
The Thirty-ninth International Conference on Machine Learning (ICML 2022), July 2022 (Spotlight)
6. Korean Language Modeling via Syntactic Guide
Hyeondey Kim, Seonhoon Kim, Inho Kang, Nojun Kwak, Pascale Fung
Language Resources and Evaluation Conference (LREC 2022), June 2022
7. MatteFormer: Transformer-Based Image Matting via Prior-Tokens
8. Imposing Consistency for Optical Flow Estimation
Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak
IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June 2022. (best in non-stereo setting)
9. MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak
IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June 2022
10. Backdoor Attacks in Federated Learning by Poisoned Word Embeddings
KiYoon Yoo, Nojun Kwak
Workshop on Federated Learning for Natural Language Processing (FL4NLP) at ACL 2022, May 2022.
11. Detection of Adversarial Examples in Text Classification: Benchmark and Baseline via Robust Density Estimation
KiYoon Yoo, Jangho Kim, Jiho Jang, Nojun Kwak
Findings of ACL 2022, May 2022.
12. Range-Doppler Map Augmentation by Generative Adversarial Network for Deep UAV Classification
SeongUk Park, Seungeui Lee, Nojun Kwak
2022 IEEE Radar Conference (RadarConf 2022), March 2022.
13. The U-Net based GLOW forOptical-Flow-free Video Interframe Generation
Saem Park, Donghoon Han, Nojun Kwak
11th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2022), Feb. 2022.
14. Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation
15. Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation
16. Few-Shot Object Detection by Attending to Per-Sample-Prototype
Hojun Lee, Myunggi Lee, Nojun Kwak
Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)
2021
1. Vehicle Image Generation Going Well with the Surroundings
Jeesoo Kim, Jangho Kim, Jaeyoung Yoo, Daesik Kim and Nojun Kwak
28th International Conference on Neural Information Processing (ICONIP 2021), Dec. 2021 (Oral, arXiv)
2. Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots
Kyuewang Lee, Inseop Chung, Daeho Um, Jaeseok Choi, Yeji Song, Seunghyeon Seo, Nojun Kwak, Jin Young Choi
International Conference on Control, Automation and Systems (ICCAS), 2021
3. Normalization Matters in Weakly Supervised Object Localization
Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak
International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
4. Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image
Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak
International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
5. LFI-CAM: Learning Feature Importance for Better Visual Explanation
Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak
International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021. (arXiv)
6. Part-Aware Data Augmentation for 3D Object Detection in Point Cloud
7. PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation
Jangho Kim, Simyung Chang and Nojun Kwak
The 22nd Annual Conference of the International Speech Communication Association (InterSpeech 2021), Aug 2021, Brno, Czech Republic
8. Phase Selective Convolution
Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli
Embedded Vision Workshop 2021 (CVPRW 2021), June 2021, online (Best Paper Award)
9. Class-Imbalanced Semi-Supervised Learning
Minsung Hyun, Jisoo Jeong, Nojun Kwak
RobustML Workshop (ICLRW 2021), May 2021, online (arXiv)
10. Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation
11. Interpolation-based semi-supervised learning for object detection
12. TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss
Hyojin Park, Ganesh Venkatesh, Nojun Kwak
First International Research Symposium on Tiny Machine Learning (TinyML 2021), March 2021, online (arXiv)
13. Prototype-Based Personalized Pruning
Jangho Kim, Simyung Chang, Sungrack Yun, Nojun Kwak
2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), June 2021, Toronto, Canada (arXiv)
14. Self-supervised pre-training and contrastive representation learning for multiple-choice video QA
2020
1. Position-based Scaled Gradient for Model Quantization and Sparse Training
Jangho Kim, KiYoon Yoo, Nojun Kwak
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020), Dec. 2020, online (arXiv version)
2. Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations
3. SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation
4. Feature Fusion for Online Mutual Knowledge Distillation
5. Feature-map-level Online Adversarial Knowledge Distillation
6. KL-divergence-based Region Proposal Network for Object Detection
7. Unpriortized Autoencoder for Image Generations
Jaeyoung Yoo, Hojun Lee, Nojun Kwak,
IEEE International Conference on Image Processing (ICIP 2020), Oct. 2020, Online (arXiv version)
8. Feature-level Ensemble Knowledge Distillation for Aggregating Knowledge from Multiple Networks
Seonguk Park, Nojun Kwak,
24th European Conference on Artificial Intelligence (ECAI2020), Aug. 2020, Online (arXiv version)
10. LSQ+: Improving Low-bit Quantization through Learnable Offsets and Better Initialization
Yash Bhalgat, Jinwon Lee, Markus Nagel, Tijmen Blankevoort, Nojun Kwak,
Joint Workshop on Efficient Deep Learning in Computer Vision (CVPR2020 Workshop), June 2020, Online (arXiv version)
11. SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder
12. Self-Training using Selection Network for Semi-Supervised Learning
Jisoo Jeong, Seungeui Lee, Nojun Kwak,
9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020, Valletta, Malta
13. Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction
14. URNet: User-Resizable Residual Networks with Conditional Gating Module
2019
1. Consistency-based Semi-supervised Learning for Object Detection
Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak,
Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Dec. 2019, Vancouver, Canada. (Code for SSD, Code for RFCN, Video available)
2. Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning
3. Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation
Simyung Chang, SeongUk Park, John Yang, Nojun Kwak,
International Conference on Computer Vision (ICCV2019), Oct. 2019, Seoul, Korea. (arXiv, Video available, Presentation)
4. A Comprehensive Overhaul of Feature Distillation
5. Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension
6. Pose Estimator and Tracker Using Temporal Flow Maps for Limbs
7. Particle Filter Based Track-Before-Detect Method in the Range-Doppler Domain
Jihoon Kwon, Nojun Kwak, Eunjung Yang, Kwansung Kim,
8. BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning
Simyung Chang, YoungJoon Yoo, Jaeseok Choi, Nojun Kwak,
8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Feb. 2019, Prague, Czech Republic. (arXiv)
9. Two-Layer Residual Feature Fusion for Object Detection
Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong, Nojun Kwak,
8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Feb. 2019, Prague, Czech Republic. (arXiv)
10 Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information
2018
1. Genetic-Gated Networks for Deep Reinforcement Learning
Simyung Chang, John Yang, Jaeseok Choi, Nojun Kwak,
Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Dec. 2018, Montreal, Canada.
2. Paraphrasing Complex Network: Network Compression via Factor Transfer
3. Radar Application of Deep Neural Networks for Recognizing Micro-Doppler Radar Signals by Human Walking and Background Noise
Jihoon Kwon, Seoungeui Lee, Nojun Kwak,
2018 International Symposium on Antenna and Propagation, Oct. 2018, Busan, Korea.
4. Broadcasting Convolutional Network for Visual Relational Reasoning
5. Motion Feature Network: Fixed Motion Filter for Action Recognition
6. 3D Human Pose Estimation with Relational Networks
7. MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis
8. Music Source Separation Using Stacked Hourglass Networks
9. Probabilistic Track Initiation Algorithm Using Radar Velocity Information in Heavy Clutter Environments
Gyuejeong Lee, Seungeui Lee, Kwansung Kim, Nojun Kwak,
European Microwave Week 2018 (EuMW2018), Sep. 2018, Madrid, Spain.
10. Human Detection by Deep Neural Networks for Recognizing Micro-Doppler Signals of Radar
Jihoon Kwon, Seoungeui Lee, Nojun Kwak,
European Microwave Week 2018 (EuMW2018), Sep. 2018, Madrid, Spain.
11. Image Restoration by Estimating Frequency Distribution of Local Patches
12. Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams
13. Ensemble Kalman Filter for Track-Before-Detect Algorithm of Pulsed-Doppler Radar
Jihoon Kwon, Nojun Kwak, Eunjeoung Yang, Kwonsung Kim,
22nd International Microwave and Radar Conference (MIKON2018), May 2018, Poznań, Poland.
2017
1. Development of Ground Penetrating Radar Based on 48 Channel Impulse Radar Array
Jihoon Kwon, Nojun Kwak, Dongwon Yang, Yeosun Yoon,
European Microwave Week 2017, Oct. 2017, Nuremberg, Germany.
2. Enhancement of SSD by Concatenating Feature Maps for Object Detection
3. Superpixel-based Semantic Segmentation Trained by Statistical Process Control
4. Athlete Pose Estimation by a Global-Local Network
Jihye Hwang, Sungheon Park, Nojun Kwak,
CVPR 2017 Workshop (CVsports), July 2017, Honolulu, Hawaii.
5. Matching Video Net: Memory-based Embedding for Video Action Recognition
Daesik Kim, Myunggi Lee, Nojun Kwak,
International Joint Conference on Neural Networks (IJCNN2017), May 2017, Anchorage, AK.
6. Human Detection by Neural Networks Using a Low-Cost Short-Range Doppler Radar Sensor
Jihoon Kwon, Nojun Kwak,
2017 IEEE Radar Conference, May 2017, Seattle, WA.
2016
1. Handwritten Music Symbol Classification Using Deep Convolutional Neural Networks
Sangkuk Lee, Sung Joon Son, Jiyong Oh, Nojun Kwak,
Proc. The 3rd International Conference on Information Science and Security (ICISS2016), Pattaya, Thailand, Dec. 2016.
2. Analysis on the Dropout Effect in Convolutional Neural Networks
Sungheon Park, Nojun Kwak,
Proc. Asian Conf. on Computer Vision (ACCV2016), Taipei, Taiwan, Nov. 2016.
3. 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information
Sungheon Park, Jihye Hwang and Nojun Kwak,
ECCV2016 Workshop (Geometry Meets Deep Learning), Amsterdam, Netherland, Oct. 2016. (arXiv:1608.03075)
4. Unregistered Bosniak Classification with Multi-phase Convolutional Neural Networks
Myunggi Lee, Hyeogjin Lee, Jiyong Oh, Hak Jong Lee, Seung Hyup Kim, Nojun Kwak,
Proc. Int'l Conf. on Neural Information Processing (ICONIP2016), Kyoto, Japan, Oct, 2016.
5. Outdoor context awareness device that enables mobile phone users to walk safely through urban intersections
Jihye Hwang, Younggwang Ji, Nojun Kwak, Eun Yi Kim,
Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'16), Rome, Italy, Feb. 2016.
6. Kernel Parameter Selection by Gap Maximization between Intra and Inter-Class Samples
John Yang, Hyeogjin Lee and Nojun Kwak,
Third International Conf. on Big Data and Smart Computing (BigComp'16), Hong Kong, China, Jan. 2016.
2015
1. Object Localization Using Image Classification Score
Sungheon Park, Myunggi Lee, Jihye Hwang, John Yang, Jieun Lee and Nojun Kwak,
poster presentation at ICCV2015 Workshop (ImageNet and MS COCO Visual Recognition Challenges Joint Workshop), Santiago, Chile, Dec. 2015.
2. Approach of Team SNU to the DARPA Robotics Challenge Finals
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,
2015 IEEE-RAS Int. Conf. on Humanoid Robots (Humanoid'15), Seoul, Korea, November 2015.
3. Illumination robust optical flow estimation by illumination-chromaticity decoupling
Sungheon Park and Nojun Kwak,
IEEE International Conf. on Image Processing (ICIP'15), Quebec City, Canada, September 2015.
4. Character recognition for the machine reader zone of electronic identity cards
Hyeogjin Lee and Nojun Kwak,
IEEE International Conf. on Image Processing (ICIP'15), Quebec City, Canada, September 2015.
5. Membership representation for detecting block-diagonal structure in low-rank or sparse subspace clustering
Minsik Lee, Jieun Lee, Hyeogjin Lee, and Nojun Kwak,
IEEE Conf. Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015.
6. Cultural event recognition by subregion classification with convolutional neural network
Sungheon Park and Nojun Kwak,
Workshop in IEEE Conf. Computer Vision and Pattern Recognition (CVPR'15), Boston, MA, June 2015.
7. Polyp detection in colonoscopy videos using deeply-learned hierarchical features
Sungheon Park, Myunggi Lee and Nojun Kwak,
Presented at ISBI 2015 Challenge on Automatic Polyp Detection in Colonoscopy Videos, New York, NY, April 2015.
~2014
1. Optimal conjugate gradient algorithm for generalization of linear discriminant analysis based on L1 norm
Kanishka Tyagi, Nojun Kwak and Michael Manry,
Proc. Int'l Conf. on Pattern Recognition Applications and Methods (ICPRAM'14), pp. 207 - 212, Angers, France, March 2014.
2. Boosted-PCA for binary classification problems
Seaung-Lok, Ham and Nojun Kwak,
Proc. IEEE Int. Symposium on Circuits and Systems (ISCAS'12), Seoul, Korea, May 2012.
3. Detection and recovery of occluded face images based on correlation between pixels
Ji-Eun Lee and Nojun Kwak,
Proc. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM'12), vol. 2, pp. 568 - 571, Vilamoura, Algarve, Portugal, February, 2012.
4. Robust face recognition under a polar coordinate system
Jae Hyun Oh and Nojun Kwak,
Proc. the 2011 International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV’11), Las Vegas, NV, July 2011.
5. Robust face recognition in a polar coordinate system using LDAr
Jae Hyun Oh and Nojun Kwak,
Proc. the 2nd International Conf. on Internet (ICONI’10), Mactan Island, the Philippines, Dec. 2010.
6. MAP Classifier with BDA features
Jiyong Oh, Chong-Ho Choi and Nojun Kwak,
Proc. the 6th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'09), pp.227 – 231, Tianjin, China, Aug. 2009.
7. Feature extraction for regression problems and an example application for pose estimation of a face
Nojun Kwak, Sang-Il Choi, and Chong-Ho Choi,
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.
8. Feature extraction with weighted samples based on independent component analysis
Nojun Kwak,
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.
9. Dimensionality reduction based on ICA for regression problems
Nojun Kwak and Chunghoon Kim,
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.
10. Feature extraction using mutual information based on Parzen window
Nojun Kwak and Chong-Ho Choi,
Proc. Int’l Conf on Artificial Neural Network and Neural Information Processing (ICANN/ICONIP’03), pp. 278 – 281, Istanbul, Turkey, June 2003.
11. Face recognition using feature extraction based on independent component analysis
Nojun Kwak, Chong-Ho Choi, and Narendra Ahuja,
Proc. Int’l Conf. on Image Processing (ICIP’02), vol. 2, pp. 337 – 340, Rochester, New York, Sep. 2002.
12. A new method of feature extraction and its stability
Nojun Kwak, Chong-Ho Choi,
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.
13. Feature Extraction using ICA
Nojun Kwak, Chong-Ho Choi, and Jin-Young Choi,
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.
14. Disturbance attenuation in robot control
Chong-Ho Choi and Nojun Kwak,
Proc. Int’l Conf. on Robotics and Automation (ICRA’01), vol. 3, pp. 2560 – 2565, Seoul, Korea, May 2001.
15. Improved mutual information feature selector for neural networks in supervised learning
Nojun Kwak and Chong-Ho Choi,
Proc. Int'l Joint Conf. on Neural Networks (IJCNN’99), vol. 2, pp. 1313 – 1318, Washington D.C., July 1999.
Journals
Kamin Lee, Hyoeun Kim, Geunjae Choi, Hyejeong Jeon, Nojun Kwak,
IEEE Access, Dec. 2024. (accepted)
Jiyong Oh and Nojun Kwak,
Signal Processing, Volume 219, June 2024. (accepted)
Wonmin Cho and Nojun Kwak,
JOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE, VOL. 23, NO. 6, pp.490-501, Nov. 2023.
4. Dual-stage Super-resolution for edge devices
Saem Park, Geunjae Choi, Seonguk Park, Nojun Kwak,
IEEE Access, Oct.4, 2023.
5. Image Recommendation System Based on Environmental and Human Face Information
Hye-min Won, Yong Seok Heo, Nojun Kwak,
Sensors, vol. 23, no. 11, June 2023.
6. Correlation-Concealing Adversarial Noise Injection for Improved Disentanglement in Label-Based Image Translation
SeongUk Park, Jookyung Song, Donghoon Han, Nojun Kwak,
IEEE Access, vol. 11, pp. 23896 - 23908, March 2023.
7. Model Compression via Position-Based Scaled Gradient
Jangho Kim, Kiyoon Yoo, Nojun Kwak,
IEEE Access, vol. 10, pp. 133828 - 133841, Dec. 2022.
8. MD3D: Mixture-Density-based 3D Object Detection in Point Clouds
Jaeseok Choi, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak,
IEEE Access, vol. 10, pp. 104011-104022, Sep. 2022,
9. Reliable Data Collection Methodology for Face Recognition in Preschool Children
Hye-min Won, Hyeogjin Lee, Gyuwon Song,Yeonghun Kim, Nojun Kwak,
Sensors, vol. 22, no. 15, Aug. 2022.
10. Adaptive Template and Transition Map for Real-Time Video Object Segmentation
Hyojin Park, Jayeon Yoo, Ganesh Venkatesh, Nojun Kwak,
IEEE Access, vol. 9, pp. 116914-116926, Aug. 2021.
11. Recurrently-Trained Super-Resolution
Saem Park and Nojun Kwak,
IEEE Access, vol. 9, pp. 23191-23201, Feb. 2021, doi: 10.1109/ACCESS.2021.3056061. (arXiv version)
12. Deep Learning Model for Real-Time Prediction of Intradialytic Hypotension
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,
Clinical Journal of the American Society of Nephrology, vol. 16, no. 3, pp. 396-406, March 2021.
13. Radar-Spectrogram-Based UAV Classification Using Convolutional Neural Networks
Dongsuk Park, Seungeui Lee, SeongUk Park, Nojun Kwak,
Sensors, Jan. 2021.
14. Exploring Rare Pose in Human Pose Estimation
Jihye Hwang, John Yang and Nojun Kwak,
IEEE Access, vol. 8, pp. 194964 - 194977, Oct. 2020.
Jieun Lee, Hyeogjin Lee, Minsik Lee and Nojun Kwak
IEEE Transactions on Cybernetics, vol. 50, no. 3, pp. 1023-1036, March 2020.
Jihoon Kwon and Nojun Kwak
Applied Sciences, 9(17), 3534, Aug. 2019
Gyuejeong Lee, Jihoon Kwon, Nojun Kwak and Eunjung Yang
IET Radar, Sonar & Navigation, vol. 13, no. 10, pp. 1842 - 1849, Oct. 2019.
Sung Joon Son, Youngmin Song, Namki Kim, Yonghae Do, Nojun Kwak, Mu Sook Lee, Byoung-Dai Lee
IEEE Access, vol. 7, pp. 33346 - 33358, March 2019.
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
Medicine, vol. 98, no. 15, April 2019.
Sungheon Park and Nojun Kwak
Pattern Recognition, vol. 76, no. 4, pp. 752 - 760, April 2018.
Sungheon Park, Minsik Lee and Nojun Kwak
IEEE Transactions on Image Processing, vol. 27, no. 1, pp. 249 - 264, Jan. 2018.
Nojun Kwak
IEEE Transactions on Cybernetics, vol. 47, no. 11, pp.4003 - 4009, Nov. 2017
Jiyong Oh, Sung Joon Son, Sangkuk Lee, Ji-Won Kwon and Nojun Kwak
International Journal of Document Analysis and Recognition, vol. 20, no. 2, pp. 79 - 89. June 2017.
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
Journal of Field Robotics, vol. 34, no. 2, pp. 359 - 380, March 2017.
Jiyong Oh and Nojun Kwak
Pattern Recognition, vol. 54, pp. 116-127, June 2016.
Eunwoo Kim, Minsik Lee, Chong-Ho Choi, Nojun Kwak, and Songhwai Oh
IEEE Transactions on Neural Networks and Learning Systems, vol. 26, no. 2, pp. 237 - 251, Feb. 2015.
Nojun Kwak
IEEE Transactions on Cybernetics, vol.44, no. 5, pp. 594 - 609, May 2014.
Nojun Kwak
IEEE Transactions on Neural Networks and Learning Systems, vol. 24, no. 12, pp. 2113 - 2119, Dec. 2013.
Jiyong Oh, Nojun Kwak, Minsik Lee and Chong-Ho Choi
Pattern Recognition, vol. 46, no. 12, pp. 3328 - 3340, Dec. 2013.
Jae Hyun Oh and Nojun Kwak
Pattern Recognition Letters, vol. 34, no. 6, pp. 679 - 685, April 2013.
Sang-Il Choi, Chong-Ho Choi, Gu-Min Jeong and Nojun Kwak
Pattern Recognition Letters, vol. 33. no. 7, pp. 1083 - 1092, July 2012.
Jae Hyun Oh and Nojun Kwak
IEEE Transactions on Vehicular Technology, vol. 61, no. 5, pp. 2008 - 2017, June 2012.
Nojun Kwak
Pattern Recognition, vol. 45, no. 5, pp. 2019 - 2031, May 2012.
Jungtai Kim, Hyun Jong Yang and Nojun Kwak
IET Radar, Sonar & Navigation, vol. 6, no. 1, Jan. 2012.
Eun-Chan Park, Nojun Kwak, Suk Kyu Lee, Jong-Kook Kim and Hwangnam Kim
KSII Trans. on Internet and Information Systems, vol. 5, no. 4, pp. 720 – 740, April, 2011.
Sang-Il Choi, Chong-Ho Choi and Nojun Kwak
Pattern Recognition Letters, vol. 32, pp. 561 – 571, March 2011.
Nojun Kwak and Jung-Won Lee
Neurocomputing, vol. 73, no. 10, pp. 1740 – 1751, June 2010.
Gu-Min Jeong, Hyun-Sik Ahn, Sang-Il Choi, Nojun Kwak, and Chanwoo Moon
International Journal of Control, Automation, and Systems, vol. 8, no. 1, pp. 141– 148, Jan. 2010.
Nojun Kwak and Jiyong Oh
Pattern Recognition, vol. 42, no. 1, pp. 17 – 26, Jan. 2009.
Nojun Kwak
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, no. 9, pp. 1672 – 1680, Sep. 2008.
Nojun Kwak, Chunghoon Kim and Hwangnam Kim
Neurocomputing, vol. 71, no. 13, pp. 2596 – 2603, Aug. 2008.
Nojun Kwak
Pattern Recognition, vol. 41, no. 5, pp. 1701 – 1717, May 2008.
Nojun Kwak
International Journal of Pattern Recognition and Artificial Intelligence, vol. 21, no. 7, pp. 1213 – 1231, Nov. 2007.
Chong-Ho Choi and Nojun Kwak
IEEE/ASME Transactions on Mechatronics, vol. 8, no. 4, pp. 511 – 513, Nov./Dec. 2003.
Nojun Kwak and Chong-Ho Choi
IEEE Transactions on Knowledge and Data Engineering, vol. 15, no. 6, pp. 1374 – 1388, Nov. 2003.
Nojun Kwak and Chong-Ho Choi
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 12, pp. 1667-1671, Dec. 2002.
Nojun Kwak and Chong-Ho Choi
IEEE Transactions on Neural Networks, vol. 13, no. 1, pp. 143 – 159, Jan. 2002.