Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis. - Suha Kwak; Joon Hee Han (ISM, 2008)

Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking. - Chang-Kyu Song; Jeany Son; Suha Kwak; Bohyung Han (BMVC, 2011)

Scenario-based video event recognition by constraint flow. - Suha Kwak; Bohyung Han; Joon Hee Han (CVPR, 2011)

Generalized background subtraction based on hybrid inference by belief propagation and Bayesian filtering. - Suha Kwak; Taegyu Lim; Woonhyun Nam; Bohyung Han; Joon Hee Han (ICCV, 2011)

Learning occlusion with likelihoods for visual tracking. - Suha Kwak; Woonhyun Nam; Bohyung Han; Joon Hee Han (ICCV, 2011)

Online Multi-target Tracking by Large Margin Structured Learning. - Suna Kim; Suha Kwak; Jan Feyereisl; Bohyung Han (ACCV (3), 2012)

Online Video Segmentation by Bayesian Split-Merge Clustering. - Juho Lee 001; Suha Kwak; Bohyung Han; Seungjin Choi (ECCV (4), 2012)

Multi-agent Event Detection: Localization and Role Assignment. - Suha Kwak; Bohyung Han; Joon Hee Han (CVPR, 2013)

Orderless Tracking through Model-Averaged Posterior Estimation. - Seunghoon Hong; Suha Kwak; Bohyung Han (ICCV, 2013)

Object Localization based on Structural SVM using Privileged Information. - Jan Feyereisl; Suha Kwak; Jeany Son; Bohyung Han (NIPS, 2014)

On-Line Video Event Detection by Constraint Flow. - Suha Kwak; Bohyung Han; Joon Hee Han (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. - Minsu Cho; Suha Kwak; Cordelia Schmid; Jean Ponce (CVPR, 2015)

Unsupervised Object Discovery and Tracking in Video Collections. - Suha Kwak; Minsu Cho; Ivan Laptev; Jean Ponce; Cordelia Schmid (ICCV, 2015)

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. - Seunghoon Hong; Tackgeun You; Suha Kwak; Bohyung Han (ICML, 2015)

Unsupervised object discovery and localization in images and videos. - Minsu Cho; Suha Kwak; Ivan Laptev; Cordelia Schmid; Jean Ponce (URAI, 2015)

Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. - Suha Kwak; Minsu Cho; Ivan Laptev (CVPR, 2016)

Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. - Suha Kwak; Seunghoon Hong; Bohyung Han (AAAI, 2017)

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. - Seunghoon Hong; Donghun Yeo; Suha Kwak; Honglak Lee; Bohyung Han (CVPR, 2017)

Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. - Seunghoon Hong; Suha Kwak; Bohyung Han (IEEE Signal Process. Mag., 2017)

Universal Bounding Box Regression and Its Applications. - Seungkwan Lee; Suha Kwak; Minsu Cho (ACCV (6), 2018)

Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection. - Jeany Son; Daniel Kim; Solae Lee; Suha Kwak; Minsu Cho; Bohyung Han (ACCV (4), 2018)

Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. - Jiwoon Ahn; Suha Kwak (CVPR, 2018)

Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion. - Heeseung Kwon; Suha Kwak; Minsu Cho (CoVieW@MM, 2018)

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations. - Jiwoon Ahn; Sunghyun Cho; Suha Kwak (CVPR, 2019)

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. - Woong-Gi Chang; Tackgeun You; Seonguk Seo; Suha Kwak; Bohyung Han (CVPR, 2019)

Deep Metric Learning Beyond Binary Supervision. - Sungyeon Kim; Minkyo Seo; Ivan Laptev; Minsu Cho; Suha Kwak (CVPR, 2019)

Proxy Anchor Loss for Deep Metric Learning. - Sungyeon Kim; Dongwon Kim; Minsu Cho; Suha Kwak (CVPR, 2020)

MotionSqueeze: Neural Motion Feature Learning for Video Understanding. - Heeseung Kwon; Manjin Kim; Suha Kwak; Minsu Cho (ECCV (16), 2020)

URIE: Universal Image Enhancement for Visual Recognition in the Wild. - Taeyoung Son; Juwon Kang; Namyup Kim; Sunghyun Cho; Suha Kwak (ECCV (9), 2020)

Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search. - Jicheol Park; Boseung Jeong; Jongju Shin; Juyoung Lee; Suha Kwak (ICIP, 2020)

Grounded Situation Recognition with Transformers. - Junhyeong Cho; Youngseok Yoon; Hyeonjun Lee; Suha Kwak (BMVC, 2021)

Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection. - Nayeong Kim; Suha Kwak (BMVC, 2021)

Learning to Generate Novel Classes for Deep Metric Learning. - Kyungmoon Lee; Sungyeon Kim; Seunghoon Hong; Suha Kwak (BMVC, 2021)

Embedding Transfer With Label Relaxation for Improved Metric Learning. - Sungyeon Kim; Dongwon Kim; Minsu Cho; Suha Kwak (CVPR, 2021)

ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. - Boseung Jeong; Jicheol Park; Suha Kwak (ICCV, 2021)

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. - Heeseung Kwon; Manjin Kim; Suha Kwak; Minsu Cho (ICCV, 2021)

Relational Self-Attention: What's Missing in Attention for Video Understanding. - Manjin Kim; Heeseung Kwon; Chunyu Wang; Suha Kwak; Minsu Cho (NeurIPS, 2021)

On the distribution of penultimate activations of classification networks. - Minkyo Seo; Yoonho Lee 001; Suha Kwak (UAI, 2021)

Neural Contrast Enhancement of CT Image. - Minkyo Seo; Dongkeun Kim; Kyungmoon Lee; Seunghoon Hong; Jae Seok Bae; Jung Hoon Kim; Suha Kwak (WACV, 2021)

Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. - Heeseung Kwon; Manjin Kim; Suha Kwak; Minsu Cho (CoRR, 2021)

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. - Namyup Kim; Taeyoung Son; Cuiling Lan; Wenjun Zeng 001; Suha Kwak (CoRR, 2021)

Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. - Deunsol Jung; Dahyun Kang; Suha Kwak; Minsu Cho (ACCV (5), 2022)

Collaborative Transformers for Grounded Situation Recognition. - Junhyeong Cho; Youngseok Yoon; Suha Kwak (CVPR, 2022)

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization. - Juwon Kang; Sohyun Lee; Namyup Kim; Suha Kwak (CVPR, 2022)

Self-Taught Metric Learning without Labels. - Sungyeon Kim; Dongwon Kim; Minsu Cho; Suha Kwak (CVPR, 2022)

ReSTR: Convolution-free Referring Image Segmentation Using Transformers. - Namyup Kim; Dongwon Kim; Suha Kwak; Cuiling Lan; Wenjun Zeng 001 (CVPR, 2022)

Detector-Free Weakly Supervised Group Activity Recognition. - Dongkeun Kim; Jinsung Lee; Minsu Cho; Suha Kwak (CVPR, 2022)

Semi-supervised Semantic Segmentation with Error Localization Network. - Donghyeon Kwon; Suha Kwak (CVPR, 2022)

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. - Sohyun Lee; Taeyoung Son; Suha Kwak (CVPR, 2022)

Reflection and Rotation Symmetry Detection via Equivariant Learning. - Ahyun Seo; Byungjin Kim; Suha Kwak; Minsu Cho (CVPR, 2022)

Combating Label Distribution Shift for Active Domain Adaptation. - Sehyun Hwang; Sohyun Lee; Sungyeon Kim; Jungseul Ok; Suha Kwak (ECCV (33), 2022)

Cross-domain Ensemble Distillation for Domain Generalization. - Kyungmoon Lee; Sungyeon Kim; Suha Kwak (ECCV (25), 2022)

Learning Debiased Classifier with Biased Committee. - Nayeong Kim; Sehyun Hwang; Sungsoo Ahn; Jaesik Park; Suha Kwak (NeurIPS, 2022)

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. - Sungyeon Kim; Boseung Jung; Suha Kwak (CoRR, 2022)

Learning to Detect Semantic Boundaries with Image-Level Class Labels. - Namyup Kim; Sehyun Hwang; Suha Kwak (Int. J. Comput. Vis., 2022)

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. - Sungyeon Kim; Boseung Jeong; Suha Kwak (CVPR, 2023)

Improving Cross-Modal Retrieval with Set of Diverse Embeddings. - Dongwon Kim; Namyup Kim; Suha Kwak (CVPR, 2023)

Human Pose Estimation in Extremely Low-Light Conditions. - Sohyun Lee; Jaesung Rim; Boseung Jeong; Geonu Kim; Byungju Woo; Haechan Lee; Sunghyun Cho; Suha Kwak (CVPR, 2023)

PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. - Junhyeong Cho; Gilhyun Nam; Sungyeon Kim; Hunmin Yang; Suha Kwak (ICCV, 2023)

Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. - Dongwon Kim; Namyup Kim; Cuiling Lan; Suha Kwak (ICCV, 2023)

Adaptive Superpixel for Active Learning in Semantic Segmentation. - Hoyoung Kim; Minhyeon Oh; Sehyun Hwang; Suha Kwak; Jungseul Ok (ICCV, 2023)

Leveraging Proxy of Training Data for Test-Time Adaptation. - Juwon Kang; Nayeong Kim; Donghyeon Kwon; Jungseul Ok; Suha Kwak (ICML, 2023)

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. - Namyup Kim; Taeyoung Son; Jaehyun Pahk; Cuiling Lan; Wenjun Zeng 001; Suha Kwak (ICRA, 2023)

Activity Grammars for Temporal Action Segmentation. - Dayoung Gong; Joonseok Lee; Deunsol Jung; Suha Kwak; Minsu Cho (NeurIPS, 2023)

Active Learning for Semantic Segmentation with Multi-class Label Query. - Sehyun Hwang; Sohyun Lee; Hoyoung Kim; Minhyeon Oh; Jungseul Ok; Suha Kwak (NeurIPS, 2023)

Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. - Moon Ye-Bin; Nam Hyeon-Woo; Wonseok Choi 001; Nayeong Kim; Suha Kwak; Tae-Hyun Oh (CoRR, 2023)

Universal Metric Learning with Parameter-Efficient Transfer Learning. - Sungyeon Kim; Donghyun Kim 006; Suha Kwak (CoRR, 2023)

Extreme Point Supervised Instance Segmentation. - Hyeonjun Lee; Sehyun Hwang; Suha Kwak (CVPR, 2024)

MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory. - Juwon Kang; Nayeong Kim; Jungseul Ok; Suha Kwak (ECCV (28), 2024)

Distilling Diffusion Models Into Conditional GANs. - Minguk Kang; Richard Zhang 001; Connelly Barnes; Sylvain Paris; Suha Kwak; Jaesik Park; Eli Shechtman; Jun-Yan Zhu; Taesung Park (ECCV (28), 2024)

Efficient and Versatile Robust Fine-Tuning of Zero-Shot Models. - Sungyeon Kim; Boseung Jeong; Donghyun Kim 006; Suha Kwak (ECCV (17), 2024)

Towards More Practical Group Activity Detection: A New Benchmark and Model. - Dongkeun Kim; Youngkil Song; Minsu Cho; Suha Kwak (ECCV (47), 2024)

FREST: Feature RESToration for Semantic Segmentation Under Multiple Adverse Conditions. - Sohyun Lee; Namyup Kim; Sungyeon Kim; Suha Kwak (ECCV (29), 2024)

Classification Matters: Improving Video Action Detection with Class-Specific Attention. - Jinsung Lee; Taeoh Kim; Inwoong Lee; Minho Shim; Dongyoon Wee; Minsu Cho; Suha Kwak (ECCV (20), 2024)

PLOT: Text-Based Person Search with Part Slot Attention for Corresponding Part Discovery. - Jicheol Park; Dongwon Kim; Boseung Jeong; Suha Kwak (ECCV (21), 2024)

Online Temporal Action Localization with Memory-Augmented Transformer. - Youngkil Song; Dongkeun Kim; Minsu Cho; Suha Kwak (ECCV (19), 2024)

Active Label Correction for Semantic Segmentation with Foundation Models. - Hoyoung Kim; Sehyun Hwang; Suha Kwak; Jungseul Ok (ICML, 2024)

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization. - Nayeong Kim; Juwon Kang; Sungsoo Ahn; Jungseul Ok; Suha Kwak (ICML, 2024)

Extending CLIP's Image-Text Alignment to Referring Image Segmentation. - Seoyeon Kim; Minguk Kang; Dongwon Kim; Jaesik Park; Suha Kwak (NAACL-HLT, 2024)

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation. - Dayoung Gong; Suha Kwak; Minsu Cho (NeurIPS, 2024)

Bootstrapping Top-down Information for Self-modulating Slot Attention. - Dongwon Kim; Seoyeon Kim; Suha Kwak (NeurIPS, 2024)

Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. - Hyuna Cho; Injun Choi; Suha Kwak; Won Hwa Kim (WACV, 2024)

Self-supervised Learning of Semantic Correspondence Using Web Videos. - Donghyeon Kwon; Minsu Cho; Suha Kwak (WACV, 2024)

Optical Flow Domain Adaptation via Target Style Transfer. - Jeongbeen Yoon; Sanghyun Kim; Suha Kwak; Minsu Cho (WACV, 2024)

Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval. - Boseung Jeong; Jicheol Park; Sungyeon Kim; Suha Kwak (CVPR, 2025)

Improving Sound Source Localization with Joint Slot Attention on Image and Audio. - Inho Kim; Youngkil Song; Jicheol Park; Won Hwa Kim; Suha Kwak (CVPR, 2025)

GENIUS: A Generative Framework for Universal Multimodal Search. - Sungyeon Kim; Xinliang Zhu; Xiaofan Lin; Muhammet Bastan; Douglas Gray 001; Suha Kwak (CVPR, 2025)

Decoupled Finetuning for Domain Generalizable Semantic Segmentation. - Jaehyun Pahk; Donghyeon Kwon; Seong Joon Oh; Suha Kwak (ICLR, 2025)

Learning Unified Distance Metric Across Diverse Data Distributions with Parameter-Efficient Transfer Learning. - Sungyeon Kim; Donghyun Kim 006; Suha Kwak (WACV, 2025)

Boosting Semi-Supervised Video Action Detection with Temporal Context. - Donghyeon Kwon; Inho Kim; Suha Kwak (WACV, 2025)

SYNAuG: Exploiting synthetic data for data imbalance problems. - Moon Ye-Bin; Nam Hyeon-Woo; Won-Seok Choi 001; Nayeong Kim; Suha Kwak; Tae-Hyun Oh (Pattern Recognit. Lett., 2025)

Enhancing Cost Efficiency in Active Learning with Candidate Set Query. - Yeho Gwon; Sehyun Hwang; Hoyoung Kim; Jungseul Ok; Suha Kwak (Trans. Mach. Learn. Res., 2025)

Improving Text-based Person Search via Part-level Cross-modal Correspondence. - Jicheol Park; Boseung Jeong; Dongwon Kim; Suha Kwak (CoRR, 2025)

Democratizing Text-to-Image Masked Generative Models with Compact Text-Aware One-Dimensional Tokens. - Dongwon Kim; Ju He; Qihang Yu; Chenglin Yang; Xiaohui Shen; Suha Kwak; Liang-Chieh Chen (CoRR, 2025)

DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation. - Sohyun Lee; Nayeong Kim; Juwon Kang; Seong Joon Oh; Suha Kwak (CoRR, 2025)

GaRA-SAM: Robustifying Segment Anything Model with Gated-Rank Adaptation. - Sohyun Lee; Yeho Gwon; Lukas Hoyer; Suha Kwak (CoRR, 2025)