2025

Boosting Semi-supervised Video Action Detection with Temporal Context

Donghyeon Kwon, Inho Kim, and Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025

2024

Bootstrapping Top-down Information for Self-modulating Slot Attention

Dongwon Kim, Seoyeon Kim, and Suha Kwak
Advances in Neural Information Processing Systems (NeurIPS), 2024

ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation

Dayoung Gong, Suha Kwak, and Minsu Cho
Advances in Neural Information Processing Systems (NeurIPS), 2024

Classification Matters: Improving Video Action Detection with Class-Specific Attention

Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024
Oral Presentation

Efficient and Versatile Robust Fine-Tuning of Zero-shot Models

Sungyeon Kim, Boseung Jeong, Donghyun Kim, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024

Online Temporal Action Localization with Memory-Augmented Transformer

Youngkil Song*, Dongkeun Kim*, Minsu Cho, and Suha Kwak (*equal contribution)
European Conference on Computer Vision (ECCV), 2024

PLOT: Text-based Person Search with Part Slot Attention for Corresponding Part Discovery

Jicheol Park, Dongwon Kim, Boseung Jeong, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024

Distilling Diffusion Models into Conditional GANs

Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, and Taesung Park
European Conference on Computer Vision (ECCV), 2024

MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory

Juwon Kang, Nayeong Kim, Jungseul Ok, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024

FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions

Sohyun Lee, Namyup Kim, Sungyeon Kim, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024

Towards More Practical Group Activity Detection: A New Benchmark and Model

Dongkeun Kim, Youngkil Song, Minsu Cho, and Suha Kwak
European Conference on Computer Vision (ECCV), 2024

Improving Robustness to Multiple Spurious Correlations by Multi-Objective Optimization

Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, and Suha Kwak
International Conference on Machine Learning (ICML), 2024

Active Label Correction for Semantic Segmentation with Foundation Models

Hoyoung Kim, Sehyun Hwang, Suha Kwak, and Jungseul Ok
International Conference on Machine Learning (ICML), 2024

Extending CLIP's Image-Text Alignment to Referring Image Segmentation

Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, and Suha Kwak
Annual Conference on the North American Chapter of the Association for Computational Linguistics (NAACL), 2024

Extreme Point Supervised Instance Segmentation

Hyeonjun Lee, Sehyun Hwang, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024

Self-supervised Learning of Semantic Correspondence Using Web Videos

Donghyeon Kwon, Minsu Cho, and Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

Optical Flow Domain Adaptation via Target Style Transfer

Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, and Minsu Cho
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation

Hyuna Cho, Injun Choi, Suha Kwak, and Won Hwa Kim
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

2023

Active Learning for Semantic Segmentation with Multi-class Label Query

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, and Suha Kwak
Advances in Neural Information Processing Systems (NeurIPS), 2023

Activity Grammars for Temporal Action Segmentation

Dayoung Gong*, Joonseok Lee*, Deunsol Jung, Suha Kwak, and Minsu Cho (*equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2023

Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective

Moon Ye-Bin*, Nam Hyeon-Woo*, Wonseok Choi, Nayeong Kim, Suha Kwak, and Tae Hyun Oh (*equal contribution)
MMFM Workshop, in Conjunction with IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Shatter and Gather: Learning Referring Image Segmentation with Text Supervision

Dongwon Kim*, Namyup Kim*, Cuiling Lan, and Suha Kwak (*equal contribution)
IEEE/CVF International Conference on Computer Vision (ICCV), 2023

PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization

Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, and Suha Kwak
IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Adaptive Superpixel for Active Learning in Semantic Segmentation

Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, and Jungseul Ok
IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Removing Multiple Biases through the Lens of Multi-Task Learning

Nayeong Kim, Juwon Kang, Sungsoo Ahn, Jungseul Ok, and Suha Kwak
SCIS Workshop, in Conjunction with International Conference on Machine Learning (ICML), 2023

Leveraging Proxy of Training Data for Test-Time Adaptation

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, and Suha Kwak
International Conference on Machine Learning (ICML), 2023
Qualcomm Innovation Fellowship Winner

Improving Cross-Modal Retrieval with Set of Diverse Embeddings

Dongwon Kim, Namyup Kim, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Highlight

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization

Sungyeon Kim, Boseung Jeong, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Human Pose Estimation in Extremely Low-Light Conditions

Sohyun Lee*, Jaesung Rim*, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, and Suha Kwak (*equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation

Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, and Suha Kwak
IEEE International Conference on Robotics and Automation (ICRA), 2023

2022

Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval

Deunsol Jung, Dahyun Kang, Suha Kwak, and Minsu Cho
Asian Conference on Computer Vision (ACCV), 2022

Learning Debiased Classifier with Biased Committee

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, and Suha Kwak
Advances in Neural Information Processing Systems (NeurIPS), 2022
SCIS Workshop, in Conjunction with International Conference on Machine Learning (ICML), 2022

Combating Label Distribution Shift for Active Domain Adaptation

Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, and Suha Kwak
European Conference on Computer Vision (ECCV), 2022
Qualcomm Innovation Fellowship Winner

Cross-Domain Ensemble Distillation for Domain Generalization

Kyungmoon Lee, Sungyeon Kim, and Suha Kwak
European Conference on Computer Vision (ECCV), 2022

Learning to Detect Semantic Boundaries with Image-level Class Labels

Namyup Kim*, Sehyun Hwang*, and Suha Kwak (*equal contribution)
International Journal of Computer Vision (IJCV), 130, 2131–2148, 2022

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation

Sohyun Lee, Taeyoung Son, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Best Paper Finalist, Oral Presentation, Qualcomm Innovation Fellowship Winner

Collaborative Transformers for Grounded Situation Recognition

Junhyeong Cho, Youngseok Yoon, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

ReSTR: Convolution-free Referring Image Segmentation Using Transformers

Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Qualcomm Innovation Fellowship Winner

Self-Taught Metric Learning without Labels

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Qualcomm Innovation Fellowship Winner

Semi-supervised Semantic Segmentation with Error Localization Network

Donghyeon Kwon and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization

Juwon Kang, Sohyun Lee, Namyup Kim, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Qualcomm Innovation Fellowship Winner

Detector-Free Weakly Supervised Group Activity Recognition

Dongkeun Kim, Jinsung Lee, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Reflection and Rotation Symmetry Detection via Equivariant Learning

Ahyun Seo, Byungjin Kim, Suha Kwak, and Minsu Cho
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

2021

The Feasibility of Deep Learning-based Synthetic Contrast-enhanced CT from Nonenhanced CT in Emergency Department Patients with Acute Abdominal Pain

Se Woo Kim, Jung Hoon Kim, Suha Kwak, Minkyo Seo, Changhyun Ryoo, Cheong-Il Shin, Siwon Jang, Jungheum Cho, Young-Hoon Kim, and Kyutae Jeon
Scientific Reports, 11, 20390, 2021

Grounded Situation Recognition with Transformers

Junhyeong Cho*, Youngseok Yoon*, Hyeonjun Lee*, and Suha Kwak (*equal contribution)
British Machine Vision Conference (BMVC), 2021

Learning to Generate Novel Classes for Deep Metric Learning

Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, and Suha Kwak
British Machine Vision Conference (BMVC), 2021

Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection

Nayeong Kim and Suha Kwak
British Machine Vision Conference (BMVC), 2021

Relational Self-Attention: What's Missing in Attention for Video Understanding

Heeseung Kwon*, Manjin Kim*, Chunyu Wang, Suha Kwak, and Minsu Cho (*equal contribution)
Advances in Neural Information Processing Systems (NeurIPS), 2021

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition

Heeseung Kwon*, Manjin Kim*, Suha Kwak, and Minsu Cho (*equal contribution)
IEEE/CVF International Conference on Computer Vision (ICCV), 2021

ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer

Boseung Jeong*, Jicheol Park*, and Suha Kwak (*equal contribution)
IEEE/CVF International Conference on Computer Vision (ICCV), 2021

Embedding Transfer with Label Relaxation for Improved Metric Learning

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021

On The Distribution of Penultimate Activations of Classification Networks

Minkyo Seo*, Yoonho Lee*, and Suha Kwak (*equal contribution)
Conference on Uncertainty in Artificial Intelligence (UAI), 2021

Neural Contrast Enhancement of CT Image

Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, and Suha Kwak
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2021

2020

Feasibility Study of Deep Learning Based Synthetic Contrast-enhanced CT (DL-SE CT) from Non-enhanced CT in Patients Visiting Emergency Department Complaining Acute Abdominal Pain

Se Woo Kim, Jung Hoon Kim, Minkyo Seo, Suha Kwak, Changhyun Ryoo, Cheong-Il Shin, Siwon Jang, Jungheum Cho, and, Young Hoon Kim
Radiological Society of North America (RSNA) Annual Meeting, 2020

Multiplex Protein Imaging with Secondary Ion Mass Spectrometry Using Metal Oxide Nanoparticle Conjugated Antibodies

Daewon Moon, Young Ho Park, Eunseok Seo, Sunyoung Lee, Heejin Lim, Suha Kwak, Minseok Kim, Hyunmin Kim, Eunjoo Kim, Yebin Jung, Hyang-Sook Hoe, Sungjee Kim, Dong-Kwon Lim, Chul-Hoon Kim, Su-Il In
ACS Applied Materials and Interfaces, vol. 12, no. 15, 2020

URIE: Universal Image Enhancement for Visual Recognition in the Wild

Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, and Suha Kwak
European Conference on Computer Vision (ECCV), 2020

MotionSqueeze: Neural Motion Feature Learning for Video Understanding

Heeseung Kwon, Manjin Kim, Suha Kwak, and Minsu Cho
European Conference on Computer Vision (ECCV), 2020

Proxy Anchor Loss for Deep Metric Learning

Sungyeon Kim, Dongwon Kim, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020

Learning Discriminative Part Features through Attentions for Effective and Scalable Person Search

Jicheol Park*, Boseung Jeong*, Jongju Shin, Juyoung Lee, and Suha Kwak (*equal contribution)
IEEE International Conference on Image Processing (ICIP), 2020

2019

Domainwise Classification Network for Unsupervised Domain Adaptation

Seonguk Seo, Yumin Suh, Woong-Gi Chang, Tackgeun You, Suha Kwak, Taeho Lee, and Bohyung Han
Generalization Workshop, in Conjunction with International Conference on Machine Learning (ICML), 2019

Deep Metric Learning Beyond Binary Supervision

Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Oral Presentation, Qualcomm Innovation Fellowship Winner

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations

Jiwoon Ahn, Sunghyun Cho, and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
Oral Presentation

Domain Specific Batch Normalization for Unsupervised Domain Adaptation

Woong-Gi Chang*, Tackgeun You*, Seonguk Seo*, Suha Kwak, and Bohyung Han (*equal contribution)
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019

2018

Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion

Heeseung Kwon, Suha Kwak, and Minsu Cho
CoView Workshop, in Conjunction with ACM Multimedia (ACMMM), 2018
CoView Challenge Winner

Forget & Diversify: Regularized Refinement for Weakly Supervised Object Detection

Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, and Bohyung Han
Asian Conference on Computer Vision (ACCV), 2018
Oral Presentation

Universal Bounding Box Regression and Its Applications

Seungkwan Lee, Suha Kwak, and Minsu Cho
Asian Conference on Computer Vision (ACCV), 2018

Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation

Jiwoon Ahn and Suha Kwak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018
Winner of the KCCV Sang-Uk Lee Prize

Before 2018

Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation

Seunghoon Hong, Suha Kwak, and Bohyung Han
IEEE Signal Processing Magazine, vol. 34, no. 6, 2017.

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos

Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, and Bohyung Han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017
Spotlight Presentation

Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network

Suha Kwak, Seunghoon Hong, and Bohyung Han
AAAI Conference on Artificial Intelligence (AAAI), 2017

Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation

Suha Kwak, Minsu Cho, and Ivan Laptev
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

Unsupervised Object Discovery and Localization in Images and Videos

Minsu Cho, Suha Kwak, Ivan Laptev, Jean Ponce, and Cordelia Schmid
International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015

Unsupervised Object Discovery and Tracking in Video Collections

Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, and Cordelia Schmid
IEEE/CVF International Conference on Computer Vision (ICCV), 2015

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network

Seunghoon Hong, Tackgeun You, Suha Kwak, and Bohyung Han
International Conference on Machine Learning (ICML), 2015

Unsupervised Object Discovery and Localization in the Wild

Minsu Cho, Suha Kwak, Cordelia Schmid, and Jean Ponce
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2015
Oral Presentation

Object Localization based on Structural SVM using Privileged Information

Jan Feyereisl, Suha Kwak, Jeany Son, and Bohyung Han
Advances in Neural Information Processing Systems (NeurIPS), 2014

Online Video Event Detection by Constraint Flow

Suha Kwak, Bohyung Han, and Joon Hee Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 36, no. 6, 2014

Orderless Tracking through Model-Averaged Posterior Estimation

Seunghoon Hong, Suha Kwak, and Bohyung Han
IEEE/CVF International Conference on Computer Vision (ICCV), 2013.
Oral Presentation

Multi-Agent Event Detection: Localization and Role Assignment

Suha Kwak, Bohyung Han, and Joon Hee Han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2013

Online Multi-Target Tracking by Large Margin Structured Learning

Suna Kim, Suha Kwak, Jan Feyereisl, and Bohyung Han
Asian Conference on Computer Vision (ACCV), 2012

On-line Video Segmentation by Bayesian Split-Merge Clustering

Juho Lee, Suha Kwak, Bohyung Han, and Seungjin Choi
European Conference on Computer Vision (ECCV), 2012

Generalized Background Subtraction Based on Hybrid Inference by Belief Propagation and Bayesian Filtering

Suha Kwak, Taegyu Lim, Woonhyun Nam, Bohyung Han, and Joon Hee Han
IEEE/CVF International Conference on Computer Vision (ICCV), 2011

Learning Occlusion with Likelihoods for Visual Tracking

Suha Kwak, Woonhyun Nam, Bohyung Han, and Joon Hee Han
IEEE/CVF International Conference on Computer Vision (ICCV), 2011

Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking

Changkyu Song, Jeany Son, Suha Kwak, and Bohyung Han
British Machine Vision Conference (BMVC), 2011

Scenario-Based Video Event Recognition by Constraint Flow

Suha Kwak, Bohyung Han, and Joon Hee Han
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2011

Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis

Suha Kwak and Joon Hee Han
MAUBI Workshop, in Conjunction with IEEE International Symposium on Multimedia (ISM), 2008