Cho, Minsu

106 publications

ICCV 2025 Axis-Level Symmetry Detection with Group-Equivariant Representation Wongyun Yu, Ahyun Seo, Minsu Cho

ICCV 2025 Combinative Matching for Geometric Shape Assembly Nahyuk Lee, Juhong Min, Junhong Lee, Chunghyun Park, Minsu Cho

ICCV 2025 Few-Shot Pattern Detection via Template Matching and Regression Eunchan Jo, Dahyun Kang, Sanghyun Kim, Yunseon Choi, Minsu Cho

ICCV 2025 Generic Event Boundary Detection via Denoising Diffusion Jaejun Hwang, Dayoung Gong, Manjin Kim, Minsu Cho

CVPR 2025 Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection Ahyun Seo, Minsu Cho

CVPR 2025 Locality-Aware Zero-Shot Human-Object Interaction Detection Sanghyun Kim, Deunsol Jung, Minsu Cho

TMLR 2025 Memory-Modular Classification: Learning to Generalize with Memory Replacement Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid

CVPR 2025 Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Chris Choy

NeurIPS 2025 Part-Aware Bottom-up Group Reasoning for Fine-Grained Social Interaction Detection Dongkeun Kim, Minsu Cho, Suha Kwak

CVPR 2025 Video Summarization with Large Language Models Min Jung Lee, Dayoung Gong, Minsu Cho

NeurIPS 2024 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction Jongmin Lee, Minsu Cho

ICML 2024 3D Geometric Shape Assembly via Efficient Point Cloud Matching Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho

NeurIPS 2024 ActFusion: A Unified Diffusion Model for Action Segmentation and Anticipation Dayoung Gong, Suha Kwak, Minsu Cho

TMLR 2024 Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park

CVPRW 2024 Burst Image Super-Resolution with Base Frame Selection Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho

ECCV 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

CVPR 2024 Contrastive Mean-Shift Learning for Generalized Category Discovery Sua Choi, Dahyun Kang, Minsu Cho

WACV 2024 Efficient Semantic Matching with Hypercolumn Correlation Seungwook Kim, Juhong Min, Minsu Cho

CVPR 2024 Enhancing 3D Fidelity of Text-to-3D Using Cross-View Correspondences Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang

ICLR 2024 Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

ECCV 2024 In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation Dahyun Kang, Minsu Cho

CVPR 2024 Learning Correlation Structures for Vision Transformers Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho

CVPR 2024 Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho

CVPR 2024 MoReVQA: Exploring Modular Reasoning Models for Video Question Answering Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid

ECCV 2024 NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee

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

WACV 2024 Optical Flow Domain Adaptation via Target Style Transfer Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho

TMLR 2024 PriViT: Vision Transformers for Private Inference Naren Dhyani, Jianqiao Cambridge Mo, Patrick Yubeaton, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde

WACV 2024 Self-Supervised Learning of Semantic Correspondence Using Web Videos Donghyeon Kwon, Minsu Cho, Suha Kwak

ECCV 2024 Towards More Practical Group Activity Detection: A New Benchmark and Model Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak

NeurIPS 2023 Activity Grammars for Temporal Action Segmentation Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho

CVPR 2023 Devil's on the Edges: Selective Quad Attention for Scene Graph Generation Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho

CVPR 2023 Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray

CVPR 2023 Generalizable Implicit Neural Representations via Instance Pattern Composers Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han

CVPR 2023 Learning Rotation-Equivariant Features for Visual Correspondence Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho

NeurIPS 2023 Locality-Aware Generalizable Implicit Neural Representation Doyup Lee, Chiheon Kim, Minsu Cho, Wook Shin Han

CVPR 2023 Relational Context Learning for Human-Object Interaction Detection Sanghyun Kim, Deunsol Jung, Minsu Cho

CVPR 2023 Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim

ICML 2023 Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho

CVPR 2022 Autoregressive Image Generation Using Residual Quantization Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han

UAI 2022 Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes Jungtaek Kim, Seungjin Choi, Minsu Cho

CVPRW 2022 Contrastive Regularization for Semi-Supervised Learning Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han

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

NeurIPS 2022 Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook Shin Han

CVPR 2022 Fast Point Transformer Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park

CVPR 2022 Future Transformer for Long-Term Action Anticipation Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho

CVPR 2022 Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang, Minsu Cho

IJCAI 2022 Learning to Assemble Geometric Shapes Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

NeurIPS 2022 PeRFception: Perception Using Radiance Fields Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Chris Choy, Anima Anandkumar, Minsu Cho, Jaesik Park

NeurIPS 2022 Peripheral Vision Transformer Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho

CVPR 2022 Reflection and Rotation Symmetry Detection via Equivariant Learning Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho

NeurIPSW 2022 SeLCA: Self-Supervised Learning of Canonical Axis Seungwook Kim, Yoonwoo Jeong, Chunghyun Park, Jaesik Park, Minsu Cho

ICML 2022 Selective Network Linearization for Efficient Private Inference Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde

CVPR 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection Jongmin Lee, Byungjin Kim, Minsu Cho

CVPR 2022 Self-Taught Metric Learning Without Labels Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

WACV 2022 Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation Jeongbeen Yoon, Dahyun Kang, Minsu Cho

ECCV 2022 Towards Sequence-Level Training for Visual Tracking Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho

CVPR 2022 TransforMatcher: Match-to-Match Attention for Semantic Correspondence Seungwook Kim, Juhong Min, Minsu Cho

NeurIPS 2021 Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho

CVPR 2021 Convolutional Hough Matching Networks Juhong Min, Minsu Cho

ICCV 2021 Deep Hough Voting for Robust Global Registration Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park

NeurIPS 2021 Differentiable Spline Approximations Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

CVPR 2021 Embedding Transfer with Label Relaxation for Improved Metric Learning Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak

ICCV 2021 Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min, Dahyun Kang, Minsu Cho

CVPRW 2021 IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho

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 Learning to Discover Reflection Symmetry via Polar Matching Convolution Ahyun Seo, Woohyeon Shim, Minsu Cho

WACV 2021 Learning to Distill Convolutional Features into Compact Local Descriptors Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho

NeurIPS 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park

ICCV 2021 Relational Embedding for Few-Shot Classification Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho

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

ICCV 2021 Self-Calibrating Neural Radiance Fields Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Anima Anandkumar, Minsu Cho, Jaesik Park

NeurIPS 2020 CircleGAN: Generative Adversarial Learning Across Spherical Circles Woohyeon Shim, Minsu Cho

NeurIPSW 2020 Differentiable Programming for Piecewise Polynomial Functions Minsu Cho, Ameya Joshi, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde

ECCVW 2020 Diversified Mutual Learning for Deep Metric Learning Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho

NeurIPSW 2020 Fragment Relation Networks for Geometric Shape Assembly Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

AAAI 2020 InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

ECCV 2020 Learning to Compose Hypercolumns for Visual Correspondence Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho

ECCV 2020 MotionSqueeze: Neural Motion Feature Learning for Video Understanding Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho

AAAI 2020 Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han

ICLR 2019 InstaGAN: Instance-Aware Image-to-Image Translation Sangwoo Mo, Minsu Cho, Jinwoo Shin

NeurIPS 2019 Mining GOLD Samples for Conditional GANs Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin

ACML 2019 Regularizing Neural Networks via Stochastic Branch Layers Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho

ICCVW 2019 Temporal U-Nets for Video Summarization with Scene and Action Recognition Heeseung Kwon, Woohyun Shim, Minsu Cho

ECCV 2018 Attentive Semantic Alignment with Offset-Aware Correlation Kernels Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho

CVPR 2017 Multi-Object Tracking with Quadruplet Convolutional Neural Networks Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han

ICCV 2017 SCNet: Learning Semantic Correspondence Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce

AAAI 2017 Text-Guided Attention Model for Image Captioning Jonghwan Mun, Minsu Cho, Bohyung Han

ECCV 2016 ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev

CVPR 2016 Proposal Flow Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce

CVPR 2016 Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation Suha Kwak, Minsu Cho, Ivan Laptev

CVPR 2015 Robust Image Filtering Using Joint Static and Dynamic Guidance Bumsub Ham, Minsu Cho, Jean Ponce

CVPR 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

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

CVPR 2014 Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers Minsu Cho, Jian Sun, Olivier Duchenne, Jean Ponce

ICCV 2013 Learning Graphs to Match Minsu Cho, Karteek Alahari, Jean Ponce

ECCV 2012 Graph Matching via Sequential Monte Carlo Yumin Suh, Minsu Cho, Kyoung Mu Lee

CVPR 2012 Mode-Seeking on Graphs via Random Walks Minsu Cho, Kyoung Mu Lee

CVPR 2012 Progressive Graph Matching: Making a Move of Graphs via Probabilistic Voting Minsu Cho, Kyoung Mu Lee

CVPR 2011 Hyper-Graph Matching via Reweighted Random Walks Jungmin Lee, Minsu Cho, Kyoung Mu Lee

CVPR 2010 Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs Minsu Cho, Kyoung Mu Lee

ECCV 2010 Reweighted Random Walks for Graph Matching Minsu Cho, Jungmin Lee, Kyoung Mu Lee

CVPR 2010 Unsupervised Detection and Segmentation of Identical Objects Minsu Cho, Young Min Shin, Kyoung Mu Lee

ICCV 2009 Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering Minsu Cho, Jungmin Lee, Kyoung Mu Lee

ECCV 2008 Co-Recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration Minsu Cho, Young Min Shin, Kyoung Mu Lee

CVPR 2007 Partially Occluded Object-Specific Segmentation in View-Based Recognition Minsu Cho, Kyoung Mu Lee