Suha Kwak

According to our database, Suha Kwak authored at least 72 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Active Label Correction for Semantic Segmentation with Foundation Models.

Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok

CoRR, 2024

Optical Flow Domain Adaptation via Target Style Transfer.

Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Self-supervised Learning of Semantic Correspondence Using Web Videos.

Donghyeon Kwon, Minsu Cho, Suha Kwak

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

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

Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

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

Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak

CoRR, 2023

Universal Metric Learning with Parameter-Efficient Transfer Learning.

Sungyeon Kim, Donghyun Kim, Suha Kwak

CoRR, 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, Tae-Hyun Oh

CoRR, 2023

Active Learning for Semantic Segmentation with Multi-class Label Query.

Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Activity Grammars for Temporal Action Segmentation.

Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation.

Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Leveraging Proxy of Training Data for Test-Time Adaptation.

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak

Proceedings of the International Conference on Machine Learning, 2023

Adaptive Superpixel for Active Learning in Semantic Segmentation.

Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Shatter and Gather: Learning Referring Image Segmentation with Text Supervision.

Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Improving Cross-Modal Retrieval with Set of Diverse Embeddings.

Dongwon Kim, Namyup Kim, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization.

Sungyeon Kim, Boseung Jeong, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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 Jung, Suha Kwak

CoRR, 2022

Learning Debiased Classifier with Biased Committee.

Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Cross-domain Ensemble Distillation for Domain Generalization.

Kyungmoon Lee, Sungyeon Kim, Suha Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

Combating Label Distribution Shift for Active Domain Adaptation.

Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak

Proceedings of the Computer Vision - ECCV 2022, 2022

Reflection and Rotation Symmetry Detection via Equivariant Learning.

Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation.

Sohyun Lee, Taeyoung Son, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Semi-supervised Semantic Segmentation with Error Localization Network.

Donghyeon Kwon, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Detector-Free Weakly Supervised Group Activity Recognition.

Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ReSTR: Convolution-free Referring Image Segmentation Using Transformers.

Namyup Kim, Dongwon Kim, Suha Kwak, Cuiling Lan, Wenjun Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Taught Metric Learning without Labels.

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Style Neophile: Constantly Seeking Novel Styles for Domain Generalization.

Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Collaborative Transformers for Grounded Situation Recognition.

Junhyeong Cho, Youngseok Yoon, Suha Kwak

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval.

Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation.

Namyup Kim, Taeyoung Son, Cuiling Lan, Wenjun Zeng, Suha Kwak

CoRR, 2021

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

Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

CoRR, 2021

Neural Contrast Enhancement of CT Image.

Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

On the distribution of penultimate activations of classification networks.

Minkyo Seo, Yoonho Lee, Suha Kwak

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

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

Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Boseung Jeong, Jicheol Park, Suha Kwak

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedding Transfer With Label Relaxation for Improved Metric Learning.

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Generate Novel Classes for Deep Metric Learning.

Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection.

Nayeong Kim, Suha Kwak

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Grounded Situation Recognition with Transformers.

Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search.

Jicheol Park, Boseung Jeong, Jongju Shin, Juyoung Lee, Suha Kwak

Proceedings of the IEEE International Conference on Image Processing, 2020

URIE: Universal Image Enhancement for Visual Recognition in the Wild.

Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak

Proceedings of the Computer Vision - ECCV 2020, 2020

MotionSqueeze: Neural Motion Feature Learning for Video Understanding.

Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

Proceedings of the Computer Vision - ECCV 2020, 2020

Proxy Anchor Loss for Deep Metric Learning.

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Deep Metric Learning Beyond Binary Supervision.

Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Domain-Specific Batch Normalization for Unsupervised Domain Adaptation.

Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations.

Jiwoon Ahn, Sunghyun Cho, Suha Kwak

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion.

Heeseung Kwon, Suha Kwak, Minsu Cho

Proceedings of the 1st Workshop and Challenge on Comprehensive Video Understanding in the Wild, 2018

Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation.

Jiwoon Ahn, Suha Kwak

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection.

Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han

Proceedings of the Computer Vision - ACCV 2018, 2018

Universal Bounding Box Regression and Its Applications.

Seungkwan Lee, Suha Kwak, Minsu Cho

Proceedings of the Computer Vision - ACCV 2018, 2018

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

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos.

Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network.

Suha Kwak, Seunghoon Hong, Bohyung Han

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

Suha Kwak, Minsu Cho, Ivan Laptev

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Unsupervised object discovery and localization in images and videos.

Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce

Proceedings of the 12th International Conference on Ubiquitous Robots and Ambient Intelligence, 2015

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network.

Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han

Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised Object Discovery and Tracking in Video Collections.

Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals.

Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

On-Line Video Event Detection by Constraint Flow.

Suha Kwak, Bohyung Han, Joon Hee Han

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Object Localization based on Structural SVM using Privileged Information.

Jan Feyereisl, Suha Kwak, Jeany Son, Bohyung Han

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Orderless Tracking through Model-Averaged Posterior Estimation.

Seunghoon Hong, Suha Kwak, Bohyung Han

Proceedings of the IEEE International Conference on Computer Vision, 2013

Multi-agent Event Detection: Localization and Role Assignment.

Suha Kwak, Bohyung Han, Joon Hee Han

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Online Video Segmentation by Bayesian Split-Merge Clustering.

Juho Lee, Suha Kwak, Bohyung Han, Seungjin Choi

Proceedings of the Computer Vision - ECCV 2012, 2012

Online Multi-target Tracking by Large Margin Structured Learning.

Suna Kim, Suha Kwak, Jan Feyereisl, Bohyung Han

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Learning occlusion with likelihoods for visual tracking.

Suha Kwak, Woonhyun Nam, Bohyung Han, Joon Hee Han

Proceedings of the IEEE International Conference on Computer Vision, 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

Proceedings of the IEEE International Conference on Computer Vision, 2011

Scenario-based video event recognition by constraint flow.

Suha Kwak, Bohyung Han, Joon Hee Han

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking.

Chang-Kyu Song, Jeany Son, Suha Kwak, Bohyung Han

Proceedings of the British Machine Vision Conference, 2011

2008

Hierarchical Event Representation and Recognition Method for Scalable Video Event Analysis.

Suha Kwak, Joon Hee Han

Proceedings of the Tenth IEEE International Symposium on Multimedia (ISM2008), 2008