International Conferences

• ARC-NeRF: Area Ray Casting for Broader Unsee View Coverage in Few-Shot Object Rendering

Seunghyeon Seo, Yeonjin Chang, Jayeon Yoo, Seungwoo Lee, Hojun Lee, Nojun Kwak

4th Computer Vision for Metaverse Workshop  (CVPR 2025 Workshop), June 2025. (accepted, arxiv)

• Unlocking the potential of unlabeled data in semi-supervised domain generalization

Dongkwan Lee*, Kyomin Hwang*, Nojun Kwak

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025), June 2025. (accepted, arxiv)

• Targeted Data Protection for Diffusion Model by Matching Training Trajectory

Hojun Lee, Mijin Koo, Yeji Song, Nojun Kwak 

The Sixth AAAI-25 Workshop on Privacy-Preserving Artificial Intelligence (AAAI 2025 Workshop), Mar. 2025. (accepted)

• 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

• 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)

• 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)

• 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)

• 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)

• 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)

• SAVE: Protagonist Diversification with Structure Agnostic Video Editing

Yeji Song, Wonsik Shin, Junsoo Lee, Jeesoo Kim, Nojun Kwak

European Conference on Computer Vision (ECCV 2024), Oct. 2024 (Github, arXiv)

• 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)

• 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)

• 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)

• Do not think about pink elephant!

Kyomin Hwang*, Suyoung Kim*, Junhoo Lee*, Nojun Kwak, 

Responsible Generative AI Workshop (CVPR 2024 Workshop), June 2024. (arXiv)

• 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)

• 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)

• 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)

• 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)

• 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)

• 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)

• Any-Way Meta Learning

JunHoo Lee, Yearim Kim*, Hyunho Lee*, Nojun Kwak

Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), Feb. 2024. (arXiv)

• Fast Sun-aligned Outdoor Scene Relighting based on TensoRF

• ConcatPlexer : Additional Dim1 Batching for Faster ViTs

Donghoon Han, Seunghyeon Seo, Donghyeon Jeon, Jiho Jang, Chaerin Kong, Nojun Kwak

Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (NeurIPS 2023 Workshop), Dec. 2023. (arXiv)

• SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning

JunHoo Lee, Jayeon Yoo, Nojun Kwak

Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), Dec. 2023 (arXiv)

• 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)

• FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis

Seunghyeon Seo, Yeonjin Chang, Nojun Kwak

International Conference on Computer Vision (ICCV 2023), Oct. 2023 (arXiv, GitHub)

• MDPose: Real-Time Multi-Person Pose Estimation via Mixture Density Model

Seunghyeon Seo, Jaeyoung Yoo, Jihye Hwang, Nojun Kwak

The 39th Conference on Uncertainty in Artificial Intelligence (UAI 2023), July 2023 (arXiv)

• Robust Multi-bit Natural Language Watermarking through Invariant Features

KiYoon Yoo, WonHyuk Ahn, Jiho Jang, Nojun Kwak
Annual Meeting of the Association for Computational Linguistics (ACL 2023), July 2023 (long, arXiv)

• End-to-End Multi-Object Detection with a Regularized Mixture Model

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak
Fortieth International Conference on Machine Learning (ICML 2023), July 2023 (arXiv, GitHub)

• AADiff: Audio-Aligned Video Synthesis with Text-to-Image Diffusion

Seungwoo Lee, Chaerin Kong, Donghyeon Jeon, Nojun Kwak
AI for Content Creation (CVPR 2023 Workshop), June 2023 (arXiv, GitHub)

• MixNeRF: Modeling a Ray with Mixture Density for Novel View Synthesis from Sparse Inputs

Seunghyeon Seo, Donghoon Han, Yeonjin Chang, Nojun Kwak
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), June 2023 (GitHub)

• 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

• 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
Workshop on Time Series Representation Learning for Health (ICLR 2023 Workshop), May 2023

• Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance

Chaerin Kong, Nojun Kwak
Multimodal Representation Learning (MRL): Perks and Pitfalls (ICLR 2023 Workshop), May 2023 (GitHib)

• 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

• Leveraging Off-the-shelf Diffusion Model for Multi-attribute Fashion Image Manipulation

Chaerin Kong, DongHyeon Jeon, Ohjoon Kwon, Nojun Kwak
Winter Conference on Applications of Computer Vision 2023 (WACV 2023), Jan. 2023 (arXiv)

• Self-Distilled Self-Supervised Representation Learning

Jiho Jang, Seonhoon Kim, KiYoon Yoo, Chaerin Kong, Jangho Kim, Nojun Kwak
Winter Conference on Applications of Computer Vision 2023 (WACV 2023), Jan. 2023 (arXiv)

• Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation

• 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)

• Towards Efficient Neural Scene Graphs by Learning Consistency Fields

Yeji Song, Chaerin Kong, Seo Young Lee, Nojun Kwak, Joonseok Lee

British Machine Vision Conference (BMVC 2022), November 2022 (arXiv).

• Few-shot Image Generation with Mixup-based Distance Learning

Chaerin Kong, Jeesoo Kim, Donghoon Han, Nojun Kwak

European Conference on Computer Vision (ECCV 2022), October 2022 (arXiv)

• Unsupervised Domain Adaptation for One-Stage Object Detector using Offsets to Bounding Box

Jayeon Yoo, Inseop Chung, Nojun Kwak

European Conference on Computer Vision (ECCV 2022), October 2022 (arXiv)

• 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)

• 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

• MatteFormer: Transformer-Based Image Matting via Prior-Tokens

GyuTae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak

IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June 2022. (github)

• 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)

• 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

• Backdoor Attacks in Federated Learning by Poisoned Word Embeddings

KiYoon Yoo, Nojun Kwak

Workshop on Federated Learning for Natural Language Processing (FL4NLP - ACL 2022 Workshop), May 2022.

• 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.

• 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.

• 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.

• Dynamic Iterative Refinement for Efficient 3D Hand Pose Estimation

John Yang, Yash Bhalgat, Simyung Chang, Fatih Porikli, Nojun Kwak

Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)

• Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation

Inseop Chung, Daesik Kim, Nojun Kwak

Winter Conference on Applications of Computer Vision (WACV 2022), Jan. 2022. (arXiv)

• Few-Shot Object Detection by Attending to Per-Sample-Prototype

• 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)

• 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), Oct. 2021.

• 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)

• 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)

• 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)

• Part-Aware Data Augmentation for 3D Object Detection in Point Cloud

Jaeseok Choi, Yeji Song, Nojun Kwak

2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, Sep. 2021 (arXiv, code)

• 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

• Phase Selective Convolution

Jamie Menjay Lin, Parham Noorzad, Yang Yang, Nojun Kwak, Fatih Porikli
Embedded Vision Workshop 2021 (CVPR 2021 Workshop), June 2021, online (Best Paper Award)

• Class-Imbalanced Semi-Supervised Learning

Minsung Hyun, Jisoo Jeong, Nojun Kwak

RobustML Workshop (ICLR 2021 Workshop), May 2021, online (arXiv)

• Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation

Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak

IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2021 (CVPR 2021), June 2021, online (arXiv)

• Interpolation-based semi-supervised learning for object detection

Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak

IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2021 (CVPR 2021), June 2021, online (arXiv)

• 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)

• 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)

• Self-supervised pre-training and contrastive representation learning for multiple-choice video QA

• 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)

• Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations

Sungheon Park, Minsik Lee, Nojun Kwak,

16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online (arXiv version, Video available)

• SeqHAND: RGB-Sequence-Based 3D Hand Pose and Shape Estimation

John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak,

16th European Conference on Computer Vision (ECCV2020), Aug. 2020, Online (arXiv version, Video available, Code available)

• Feature Fusion for Online Mutual Knowledge Distillation

Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak,

25th International Conference on Pattern Recognition (ICPR2020), Jan. 2021, Online (arXiv version)

• Feature-map-level Online Adversarial Knowledge Distillation

Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak,

Thirty-seventh International Conference on Machine Learning (ICML2020), July 2020, Online (arXiv version, Video available)

• KL-divergence-based Region Proposal Network for Object Detection

Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak,

IEEE International Conference on Image Processing (ICIP 2020), Oct. 2020, Online (arXiv version)

• Unpriortized Autoencoder for Image Generations

Jaeyoung Yoo, Hojun Lee, Nojun Kwak,

IEEE International Conference on Image Processing (ICIP 2020), Oct. 2020, Online (arXiv version)

• 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)

• 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)

• SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Module and Information Blocking Decoder

Hyojin Park, Lars Sjösund, Youngjoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak,

2020 IEEE Winter Conference on Applications of Computer Vision (WACV'20), March 2020, Aspen CO (arXiv)

• 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

• Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction

Daesik Kim, Gyujeong Lee, Jisoo Jeong, Nojun Kwak,

Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), Feb. 2020, New York, NY, USA (Oral, arXiv)

• URNet: User-Resizable Residual Networks with Conditional Gating Module

• 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)

• Towards Governing Agent's Efficacy: Action-Conditional β-VAE for Deep Transparent Reinforcement Learning

John Yang, Gyujeong Lee, Simyung Chang, Nojun Kwak,

11th Asian Conference on Machine Learning (ACML2019), Nov. 2019, Nagoya, Japan. (arXiv)

• 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)

• A Comprehensive Overhaul of Feature Distillation

Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi,

International Conference on Computer Vision (ICCV2019), Oct. 2019, Seoul, Korea. (arXiv)

• Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension

Daesik Kim, Seonhoon Kim, Nojun Kwak,

57th Annual Meeting of the Association for Computational Linguistics (ACL2019), July 2019, Florence, Italy. (Oral, arXiv)

• Pose Estimator and Tracker Using Temporal Flow Maps for Limbs

Jihye Hwang, Jieun Lee, Sungheon Park, Nojun Kwak,

International Joint Conference on Neural Networks (IJCNN2019), July 2019, Budapest, Hungary. (arXiv)

• Particle Filter Based Track-Before-Detect Method in the Range-Doppler Domain

Jihoon Kwon, Nojun Kwak, Eunjung Yang, Kwansung Kim,

2019 IEEE Radar Conference, April 2019, Boston, MA, USA.

• 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)

• 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)

• Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information

• 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.

• Paraphrasing Complex Network: Network Compression via Factor Transfer

Jangho Kim, SeoungUK Park, Nojun Kwak,

Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Dec. 2018, Montreal, Canada. (arXiv)

• 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.

• Broadcasting Convolutional Network for Visual Relational Reasoning

Simyung Chang, John Yang, Seonguk Park, Nojun Kwak,

European Conference on Computer Vision (ECCV2018), Sep. 2018, Munich, Germany. (arXiv)

• Motion Feature Network: Fixed Motion Filter for Action Recognition

Myunggi Lee, Seung Eui Lee, Sung Joon Son, Gyutae Park, Nojun Kwak,

European Conference on Computer Vision (ECCV2018), Sep. 2018, Munich, Germany. (arXiv, Demo)

• 3D Human Pose Estimation with Relational Networks

Sungheon Park, Nojun Kwak,

The British Machine Vision Conference (BMVC2018), Sep. 2018, Newcastle, UK. (arXiv, Demo)

• MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis

Hyojin Park, Youngjoon Yoo, Nojun Kwak,

The British Machine Vision Conference (BMVC2018), Sep. 2018, Newcastle, UK. (arXiv)

• Music Source Separation Using Stacked Hourglass Networks

Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak,

19th International Society for Music Information Retrieval Conference (ISMIR2018), Sep. 2018, Paris, France. (arXiv)

• 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.

• 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.

• Image Restoration by Estimating Frequency Distribution of Local Patches

Jaeyoung Yoo, Sang-ho Lee, Nojun Kwak,

The Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018), June 2018, Salt Lake City, UT. (arXiv)

• Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee, Nojun Kwak,

The Thirtieth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2018), June 2018, Salt Lake City, UT. (arXiv)

• Ensemble Kalman Filter for Track-Before-Detect Algorithm of Pulsed-Doppler Radar

• 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.

• Enhancement of SSD by Concatenating Feature Maps for Object Detection

Jisoo Jeong, Hyojin Park and Nojun Kwak

The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017. (arXiv, Code available)

• Superpixel-based Semantic Segmentation Trained by Statistical Process Control

Hyojin Park, Jisoo Jeong, Youngjoon Yoo, Nojun Kwak,

The British Machine Vision Conference (BMVC2017), Sep. 2017, London, UK. (arXiv)

• Athlete Pose Estimation by a Global-Local Network

Jihye Hwang, Sungheon Park, Nojun Kwak,

CVPR 2017 Workshop (CVsports), July 2017, Honolulu, Hawaii.

• 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.

• Human Detection by Neural Networks Using a Low-Cost Short-Range Doppler Radar Sensor

• 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. 

• Analysis on the Dropout Effect in Convolutional Neural Networks 

Sungheon Park, Nojun Kwak,

Proc. Asian Conf. on Computer Vision (ACCV2016), Taipei, Taiwan, Nov. 2016. 

• 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) 

• 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. 

• 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. 

• Kernel Parameter Selection by Gap Maximization between Intra and Inter-Class Samples 

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• Polyp detection in colonoscopy videos using deeply-learned hierarchical features

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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. 

• 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.

• 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.

• 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.

• 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.

• Improved mutual information feature selector for neural networks in supervised learning