Suha Kwak

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 96

Top Venues

Publications

Hoyoung Kim, Sehyun Hwang, Suha Kwak, Jungseul Ok
Active Label Correction for Semantic Segmentation with Foundation Models. CoRR (2024)
Hyeonjun Lee, Sehyun Hwang, Suha Kwak
Extreme Point Supervised Instance Segmentation. CoRR (2024)
Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak
Classification Matters: Improving Video Action Detection with Class-Specific Attention. CoRR (2024)
Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park
Distilling Diffusion Models into Conditional GANs. CoRR (2024)
Sohyun Lee, Namyup Kim, Sungyeon Kim, Suha Kwak
FREST: Feature RESToration for Semantic Segmentation under Multiple Adverse Conditions. CoRR (2024)
Hyuna Cho, Injun Choi, Suha Kwak, Won Hwa Kim
Interactive Network Perturbation between Teacher and Students for Semi-Supervised Semantic Segmentation. WACV (2024)
Donghyeon Kwon, Minsu Cho, Suha Kwak
Self-supervised Learning of Semantic Correspondence Using Web Videos. WACV (2024)
Seoyeon Kim, Minguk Kang, Dongwon Kim, Jaesik Park, Suha Kwak
Extending CLIP's Image-Text Alignment to Referring Image Segmentation. NAACL-HLT (2024)
Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho
Optical Flow Domain Adaptation via Target Style Transfer. WACV (2024)
Namyup Kim, Taeyoung Son, Jaehyun Pahk, Cuiling Lan, Wenjun Zeng, Suha Kwak
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. ICRA (2023)
Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok
Adaptive Superpixel for Active Learning in Semantic Segmentation. CoRR (2023)
Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. ICCV (2023)
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
Active Learning for Semantic Segmentation with Multi-class Label Query. NeurIPS (2023)
Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok
Adaptive Superpixel for Active Learning in Semantic Segmentation. ICCV (2023)
Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. CoRR (2023)
Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak
Leveraging Proxy of Training Data for Test-Time Adaptation. ICML (2023)
Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak
Human Pose Estimation in Extremely Low-Light Conditions. CVPR (2023)
Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak
Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. ICCV (2023)
Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak
Towards More Practical Group Activity Detection: A New Benchmark and Model. CoRR (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. NeurIPS (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. CoRR (2023)
Moon Ye-Bin, Nam Hyeon-Woo, Wonseok Choi, Nayeong Kim, Suha Kwak, Tae-Hyun Oh
Exploiting Synthetic Data for Data Imbalance Problems: Baselines from a Data Perspective. CoRR (2023)
Sohyun Lee, Jaesung Rim, Boseung Jeong, Geonu Kim, Byungju Woo, Haechan Lee, Sunghyun Cho, Suha Kwak
Human Pose Estimation in Extremely Low-Light Conditions. CoRR (2023)
Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, Suha Kwak
PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. CoRR (2023)
Sehyun Hwang, Sohyun Lee, Hoyoung Kim, Minhyeon Oh, Jungseul Ok, Suha Kwak
Active Learning for Semantic Segmentation with Multi-class Label Query. CoRR (2023)
Dongwon Kim, Namyup Kim, Suha Kwak
Improving Cross-Modal Retrieval with Set of Diverse Embeddings. CVPR (2023)
Sungyeon Kim, Boseung Jeong, Suha Kwak
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. CVPR (2023)
Sungyeon Kim, Donghyun Kim, Suha Kwak
Universal Metric Learning with Parameter-Efficient Transfer Learning. CoRR (2023)
Junhyeong Cho, Youngseok Yoon, Suha Kwak
Collaborative Transformers for Grounded Situation Recognition. CVPR (2022)
Kyungmoon Lee, Sungyeon Kim, Suha Kwak
Cross-Domain Ensemble Distillation for Domain Generalization. CoRR (2022)
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
Learning Debiased Classifier with Biased Committee. CoRR (2022)
Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak
Combating Label Distribution Shift for Active Domain Adaptation. ECCV (33) (2022)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Self-Taught Metric Learning without Labels. CVPR (2022)
Sehyun Hwang, Sohyun Lee, Sungyeon Kim, Jungseul Ok, Suha Kwak
Combating Label Distribution Shift for Active Domain Adaptation. CoRR (2022)
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
Learning to Generate Novel Classes for Deep Metric Learning. CoRR (2022)
Namyup Kim, Sehyun Hwang, Suha Kwak
Learning to Detect Semantic Boundaries with Image-level Class Labels. CoRR (2022)
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
Reflection and Rotation Symmetry Detection via Equivariant Learning. CoRR (2022)
Namyup Kim, Sehyun Hwang, Suha Kwak
Learning to Detect Semantic Boundaries with Image-Level Class Labels. Int. J. Comput. Vis. 130 (9) (2022)
Dongwon Kim, Namyup Kim, Suha Kwak
Improving Cross-Modal Retrieval with Set of Diverse Embeddings. CoRR (2022)
Namyup Kim, Dongwon Kim, Suha Kwak, Cuiling Lan, Wenjun Zeng
ReSTR: Convolution-free Referring Image Segmentation Using Transformers. CVPR (2022)
Sungyeon Kim, Boseung Jung, Suha Kwak
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization. CoRR (2022)
Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak
Style Neophile: Constantly Seeking Novel Styles for Domain Generalization. CVPR (2022)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Self-Taught Metric Learning without Labels. CoRR (2022)
Sohyun Lee, Taeyoung Son, Suha Kwak
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. CVPR (2022)
Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, Suha Kwak
ReSTR: Convolution-free Referring Image Segmentation Using Transformers. CoRR (2022)
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
Reflection and Rotation Symmetry Detection via Equivariant Learning. CVPR (2022)
Donghyeon Kwon, Suha Kwak
Semi-supervised Semantic Segmentation with Error Localization Network. CVPR (2022)
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
Detector-Free Weakly Supervised Group Activity Recognition. CVPR (2022)
Junhyeong Cho, Youngseok Yoon, Suha Kwak
Collaborative Transformers for Grounded Situation Recognition. CoRR (2022)
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. ACCV (5) (2022)
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. CoRR (2022)
Kyungmoon Lee, Sungyeon Kim, Suha Kwak
Cross-domain Ensemble Distillation for Domain Generalization. ECCV (25) (2022)
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
Detector-Free Weakly Supervised Group Activity Recognition. CoRR (2022)
Donghyeon Kwon, Suha Kwak
Semi-supervised Semantic Segmentation with Error Localization Network. CoRR (2022)
Nayeong Kim, Sehyun Hwang, Sungsoo Ahn, Jaesik Park, Suha Kwak
Learning Debiased Classifier with Biased Committee. NeurIPS (2022)
Sohyun Lee, Taeyoung Son, Suha Kwak
FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. CoRR (2022)
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
Relational Self-Attention: What's Missing in Attention for Video Understanding. CoRR (2021)
Boseung Jeong, Jicheol Park, Suha Kwak
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. ICCV (2021)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Embedding Transfer with Label Relaxation for Improved Metric Learning. CoRR (2021)
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
Learning to Generate Novel Classes for Deep Metric Learning. BMVC (2021)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. ICCV (2021)
Minkyo Seo, Yoonho Lee, Suha Kwak
On the distribution of penultimate activations of classification networks. UAI (2021)
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
Relational Self-Attention: What's Missing in Attention for Video Understanding. NeurIPS (2021)
Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak
Grounded Situation Recognition with Transformers. CoRR (2021)
Boseung Jeong, Jicheol Park, Suha Kwak
ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. CoRR (2021)
Junhyeong Cho, Youngseok Yoon, Hyeonjun Lee, Suha Kwak
Grounded Situation Recognition with Transformers. BMVC (2021)
Namyup Kim, Taeyoung Son, Cuiling Lan, Wenjun Zeng, Suha Kwak
WEDGE: Web-Image Assisted Domain Generalization for Semantic Segmentation. CoRR (2021)
Nayeong Kim, Suha Kwak
Robust Crowd Counting via Image Enhancement and Dynamic Feature Selection. BMVC (2021)
Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak
Neural Contrast Enhancement of CT Image. WACV (2021)
Minkyo Seo, Yoonho Lee, Suha Kwak
On The Distribution of Penultimate Activations of Classification Networks. CoRR (2021)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. CoRR (2021)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Embedding Transfer With Label Relaxation for Improved Metric Learning. CVPR (2021)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. ECCV (16) (2020)
Jicheol Park, Boseung Jeong, Jongju Shin, Juyoung Lee, Suha Kwak
Learning Discriminative Part Features Through Attentions For Effective And Scalable Person Search. ICIP (2020)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Proxy Anchor Loss for Deep Metric Learning. CoRR (2020)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. CoRR (2020)
Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak
URIE: Universal Image Enhancement for Visual Recognition in the Wild. ECCV (9) (2020)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Proxy Anchor Loss for Deep Metric Learning. CVPR (2020)
Taeyoung Son, Juwon Kang, Namyup Kim, Sunghyun Cho, Suha Kwak
URIE: Universal Image Enhancement for Visual Recognition in the Wild. CoRR (2020)
Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CVPR (2019)
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
Deep Metric Learning Beyond Binary Supervision. CVPR (2019)
Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CoRR (2019)
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
Weakly Supervised Learning of Instance Segmentation With Inter-Pixel Relations. CVPR (2019)
Seungkwan Lee, Suha Kwak, Minsu Cho
Universal Bounding Box Regression and Its Applications. CoRR (2019)
Jiwoon Ahn, Sunghyun Cho, Suha Kwak
Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations. CoRR (2019)
Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
Deep Metric Learning Beyond Binary Supervision. CoRR (2019)
Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han
Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection. ACCV (4) (2018)
Jiwoon Ahn, Suha Kwak
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation. CoRR (2018)
Heeseung Kwon, Suha Kwak, Minsu Cho
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion. CoVieW@MM (2018)
Seungkwan Lee, Suha Kwak, Minsu Cho
Universal Bounding Box Regression and Its Applications. ACCV (6) (2018)
Jiwoon Ahn, Suha Kwak
Learning Pixel-Level Semantic Affinity With Image-Level Supervision for Weakly Supervised Semantic Segmentation. CVPR (2018)
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. CVPR (2017)
Suha Kwak, Seunghoon Hong, Bohyung Han
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. AAAI (2017)
Seunghoon Hong, Suha Kwak, Bohyung Han
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. IEEE Signal Process. Mag. 34 (6) (2017)
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
Weakly Supervised Semantic Segmentation using Web-Crawled Videos. CoRR (2017)
Suha Kwak, Minsu Cho, Ivan Laptev
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. CVPR (2016)
Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
Unsupervised Object Discovery and Tracking in Video Collections. ICCV (2015)
Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. CoRR (2015)
Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce
Unsupervised object discovery and localization in images and videos. URAI (2015)
Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
Unsupervised Object Discovery and Tracking in Video Collections. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Suha Kwak