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

Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration. - Minsu Cho; Young Min Shin; Kyoung Mu Lee (ECCV (4), 2008)

Bilateral Symmetry Detection via Symmetry-Growing. - Minsu Cho; Kyoung Mu Lee (BMVC, 2009)

Feature correspondence and deformable object matching via agglomerative correspondence clustering. - Minsu Cho; Jungmin Lee; Kyoung Mu Lee (ICCV, 2009)

Authority-shift clustering: Hierarchical clustering by authority seeking on graphs. - Minsu Cho; Kyoung Mu Lee (CVPR, 2010)

Unsupervised detection and segmentation of identical objects. - Minsu Cho; Young Min Shin; Kyoung Mu Lee (CVPR, 2010)

Reweighted Random Walks for Graph Matching. - Minsu Cho; Jungmin Lee; Kyoung Mu Lee (ECCV (5), 2010)

A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling. - Jungmin Lee; Minsu Cho; Kyoung Mu Lee (ICPR, 2010)

Co-recognition of Actions in Video Pairs. - Young Min Shin; Minsu Cho; Kyoung Mu Lee (ICPR, 2010)

Hyper-graph matching via reweighted random walks. - Jungmin Lee; Minsu Cho; Kyoung Mu Lee (CVPR, 2011)

Mood Classfication from Musical Audio Using User Group-Dependent Models. - Kyogu Lee; Minsu Cho (ICMLA (2), 2011)

Progressive graph matching: Making a move of graphs via probabilistic voting. - Minsu Cho; Kyoung Mu Lee (CVPR, 2012)

Mode-seeking on graphs via random walks. - Minsu Cho; Kyoung Mu Lee (CVPR, 2012)

Graph Matching via Sequential Monte Carlo. - Yumin Suh; Minsu Cho; Kyoung Mu Lee (ECCV (3), 2012)

Learning Graphs to Match. - Minsu Cho; Karteek Alahari; Jean Ponce (ICCV, 2013)

Multi-object reconstruction from dynamic scenes: An object-centered approach. - Young Min Shin; Minsu Cho; Kyoung Mu Lee (Comput. Vis. Image Underst., 2013)

Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications. - Minsu Cho; Young Min Shin; Kyoung Mu Lee (Advanced Topics in Computer Vision, 2013)

A Systematic Methodology for Outpatient Process Analysis Based on Process Mining. - Minsu Cho; Minseok Song 001; Sooyoung Yoo (AP-BPM, 2014)

A system architecture for manufacturing process analysis based on big data and process mining techniques. - Hanna Yang; Minjeong Park; Minsu Cho; Minseok Song 001; Seongjoo Kim (IEEE BigData, 2014)

Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. - Minsu Cho; Jian Sun 009; Olivier Duchenne; Jean Ponce (CVPR, 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)

Robust image filtering using joint static and dynamic guidance. - Bumsub Ham; Minsu Cho; Jean Ponce (CVPR, 2015)

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

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

A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. - Junchi Yan; Minsu Cho; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (CoRR, 2015)

Feature description using local neighborhoods. - Man Hee Lee; Minsu Cho; In Kyu Park (Pattern Recognit. Lett., 2015)

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, 2016)

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. - Vadim Kantorov; Maxime Oquab; Minsu Cho; Ivan Laptev (ECCV (5), 2016)

Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital. - Sooyoung Yoo; Minsu Cho; Eunhye Kim; Seok Kim; Yerim Sim; Dong Hyun Yoo; Hee Hwang; Minseok Song 001 (Int. J. Medical Informatics, 2016)

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. - Junchi Yan; Minsu Cho; Hongyuan Zha; Xiaokang Yang 001; Stephen M. Chu (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

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

A New Framework for Defining Realistic SLAs: An Evidence-Based Approach. - Minsu Cho; Minseok Song 001; Carlos Müller; Pablo Fernandez 001; Adela del-Río-Ortega; Manuel Resinas; Antonio Ruiz Cortés (BPM (Forum), 2017)

Multi-object Tracking with Quadruplet Convolutional Neural Networks. - Jeany Son; Mooyeol Baek; Minsu Cho; Bohyung Han (CVPR, 2017)

SCNet: Learning Semantic Correspondence. - Kai Han 001; Rafael S. Rezende; Bumsub Ham; Kwan-Yee K. Wong; Minsu Cho; Cordelia Schmid; Jean Ponce (ICCV, 2017)

Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques. - Minsu Cho; Minseok Song 001; Marco Comuzzi; Sooyoung Yoo (Decis. Support Syst., 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)

Attentive Semantic Alignment with Offset-Aware Correlation Kernels. - Paul Hongsuck Seo; Jongmin Lee 005; Deunsol Jung; Bohyung Han; Minsu Cho (ECCV (4), 2018)

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

Robust Guided Image Filtering Using Nonconvex Potentials. - Bumsub Ham; Minsu Cho; Jean Ponce (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Proposal Flow: Semantic Correspondences from Object Proposals. - Bumsub Ham; Minsu Cho; Cordelia Schmid; Jean Ponce (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling. - Heeseung Kwon; Yeonho Kim; Jin S. Lee; Minsu Cho (Pattern Recognit. Lett., 2018)

Regularizing Neural Networks via Stochastic Branch Layers. - Wonpyo Park; Paul Hongsuck Seo; Bohyung Han; Minsu Cho (ACML, 2019)

Developing Process Performance Indicators for Emergency Room Processes. - Minsu Cho; Minseok Song 001; Seok-Ran Yeom; Il-Jae Wang; Byung-Kwan Choi (Business Process Management Workshops, 2019)

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

Relational Knowledge Distillation. - Wonpyo Park; Dongju Kim; Yan Lu; Minsu Cho (CVPR, 2019)

Unsupervised Image Matching and Object Discovery as Optimization. - Huy V. Vo; Francis R. Bach; Minsu Cho; Kai Han 001; Yann LeCun; Patrick Pérez; Jean Ponce (CVPR, 2019)

Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. - Minsu Cho; Chinmay Hegde (ICASSP, 2019)

Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. - Juhong Min; Jongmin Lee 005; Jean Ponce; Minsu Cho (ICCV, 2019)

Temporal U-Nets for Video Summarization with Scene and Action Recognition. - Heeseung Kwon; Woohyun Shim; Minsu Cho (ICCV Workshops, 2019)

InstaGAN: Instance-aware Image-to-Image Translation. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (ICLR (Poster), 2019)

Mining GOLD Samples for Conditional GANs. - Sangwoo Mo; Chiheon Kim; Sungwoong Kim; Minsu Cho; Jinwoo Shin (NeurIPS, 2019)

An Evidence-Based Decision Support Framework for Clinician Medical Scheduling. - Minsu Cho; Minseok Song 001; Sooyoung Yoo; Hajo A. Reijers (IEEE Access, 2019)

One-Shot Neural Architecture Search via Compressive Sensing. - Minsu Cho; Mohammadreza Soltani; Chinmay Hegde (CoRR, 2019)

SPair-71k: A Large-scale Benchmark for Semantic Correspondence. - Juhong Min; Jongmin Lee 005; Jean Ponce; Minsu Cho (CoRR, 2019)

Editorial. - Junchi Yan; Minsu Cho; Francesc Serratosa; Gui-Song Xia; Yinqiang Zheng (Pattern Recognit. Lett., 2019)

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 (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 (AAAI, 2020)

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

Local-Global Video-Text Interactions for Temporal Grounding. - Jonghwan Mun; Minsu Cho; Bohyung Han (CVPR, 2020)

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

Learning to Compose Hypercolumns for Visual Correspondence. - Juhong Min; Jongmin Lee 005; Jean Ponce; Minsu Cho (ECCV (15), 2020)

Diversified Mutual Learning for Deep Metric Learning. - Wonpyo Park; Wonjae Kim; Kihyun You; Minsu Cho (ECCV Workshops (1), 2020)

Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data. - Jungeun Lim; Kidong Kim; Minsu Cho; Hyunyoung Baek; Seok Kim; Hee Hwang; Sooyoung Yoo; Minseok Song 001 (ICPM Workshops, 2020)

CircleGAN: Generative Adversarial Learning across Spherical Circles. - Woohyeon Shim; Minsu Cho (NeurIPS, 2020)

Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. - Sangwoo Mo; Minsu Cho; Jinwoo Shin (CoRR, 2020)

Combinatorial 3D Shape Generation via Sequential Assembly. - Jungtaek Kim 001; Hyunsoo Chung; Minsu Cho; Jaesik Park (CoRR, 2020)

ESPN: Extremely Sparse Pruned Networks. - Minsu Cho; Ameya Joshi; Chinmay Hegde (CoRR, 2020)

Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. - Minsu Cho; Mohammadreza Soltani; Chinmay Hegde (CoRR, 2020)

Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. - Jungtaek Kim 001; Minsu Cho; Seungjin Choi (CoRR, 2020)

Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears. - Minsu Cho; Kidong Kim; Jungeun Lim; Hyunyoung Baek; Seok Kim; Hee Hwang; Minseok Song 001; Sooyoung Yoo (Int. J. Medical Informatics, 2020)

Self-Supervised Learning of Image Scale and Orientation. - Jongmin Lee 005; Yoonwoo Jeong; Minsu Cho (BMVC, 2021)

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

Convolutional Hough Matching Networks. - Juhong Min; Minsu Cho (CVPR, 2021)

IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos. - Gyeongsik Moon; Heeseung Kwon; Kyoung Mu Lee; Minsu Cho (CVPR Workshops, 2021)

Self-Calibrating Neural Radiance Fields. - Yoonwoo Jeong; Seokjun Ahn; Christopher B. Choy; Animashree Anandkumar; Minsu Cho; Jaesik Park (ICCV, 2021)

Relational Embedding for Few-Shot Classification. - Dahyun Kang; Heeseung Kwon; Juhong Min; 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)

Deep Hough Voting for Robust Global Registration. - Junha Lee; Seungwook Kim 005; Minsu Cho; Jaesik Park (ICCV, 2021)

Hypercorrelation Squeeze for Few-Shot Segmenation. - Juhong Min; Dahyun Kang; Minsu Cho (ICCV, 2021)

Learning to Discover Reflection Symmetry via Polar Matching Convolution. - Ahyun Seo; Woohyeon Shim; Minsu Cho (ICCV, 2021)

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

Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. - Hyunsoo Chung; Jungtaek Kim 001; Boris Knyazev 001; Jinhwi Lee; Graham W. Taylor; Jaesik Park; Minsu Cho (NeurIPS, 2021)

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

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

Learning to Distill Convolutional Features into Compact Local Descriptors. - Jongmin Lee 005; Yoonwoo Jeong; Seungwook Kim 005; Juhong Min; Minsu Cho (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)

Hypercorrelation Squeeze for Few-Shot Segmentation. - Juhong Min; Dahyun Kang; Minsu Cho (CoRR, 2021)

Sphynx: ReLU-Efficient Network Design for Private Inference. - Minsu Cho; Zahra Ghodsi; Brandon Reagen; Siddharth Garg; Chinmay Hegde (CoRR, 2021)

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

Development of ROS-based Small Unmanned Platform for Acquiring Autonomous Driving Dataset in Various Places and Weather Conditions. - Ji-Il Park; Minseong Choi; Seungho Han; YeongSeok Lee; Jinwoo Cho; Hyoseo Choi; Minsu Cho; Minyoung Lee 001; Kyung-Soo Kim 001 (COMPSAC, 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 (CVPR, 2022)

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

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

TransforMatcher: Match-to-Match Attention for Semantic Correspondence. - Seungwook Kim 005; Juhong Min; Minsu Cho (CVPR, 2022)

Self-Supervised Equivariant Learning for Oriented Keypoint Detection. - Jongmin Lee 005; Byungjin Kim; Minsu Cho (CVPR, 2022)

Contrastive Regularization for Semi-Supervised Learning. - Doyup Lee; Sungwoong Kim; Ildoo Kim; Yeongjae Cheon; Minsu Cho; Wook-Shin Han (CVPR Workshops, 2022)

Autoregressive Image Generation using Residual Quantization. - 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)

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

Towards Sequence-Level Training for Visual Tracking. - Minji Kim 002; Seungkwan Lee; Jungseul Ok; Bohyung Han; Minsu Cho (ECCV (22), 2022)

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

Learning to Assemble Geometric Shapes. - Jinhwi Lee; Jungtaek Kim 001; Hyunsoo Chung; Jaesik Park; Minsu Cho (IJCAI, 2022)

GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles. - YeongSeok Lee; Minsu Cho; Kyung-Soo Kim 001 (IROS, 2022)

PeRFception: Perception using Radiance Fields. - Yoonwoo Jeong; Seungjoo Shin; Junha Lee; Christopher B. Choy; Anima Anandkumar; Minsu Cho; Jaesik Park (NeurIPS, 2022)

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

Peripheral Vision Transformer. - Juhong Min; Yucheng Zhao; Chong Luo; Minsu Cho (NeurIPS, 2022)

Combinatorial Bayesian optimization with random mapping functions to convex polytopes. - Jungtaek Kim 001; Seungjin Choi; Minsu Cho (UAI, 2022)

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. - Jeongbeen Yoon; Dahyun Kang; Minsu Cho (WACV, 2022)

Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. - Ameya Joshi; Minh Pham 005; Minsu Cho; Leonid Boytsov; Filipe Condessa; J. Zico Kolter; Chinmay Hegde (CoRR, 2022)

Revisiting Self-Distillation. - Minh Pham 005; Minsu Cho; Ameya Joshi; Chinmay Hegde (CoRR, 2022)

Sequential Brick Assembly with Efficient Constraint Satisfaction. - Seokjun Ahn; Jungtaek Kim 001; Minsu Cho; Jaesik Park (CoRR, 2022)

Sphynx: A Deep Neural Network Design for Private Inference. - Minsu Cho; Zahra Ghodsi; Brandon Reagen; Siddharth Garg; Chinmay Hegde (IEEE Secur. Priv., 2022)

OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer. - Gongyu Tang; Minsu Cho; Xiaowei Wang (Nucleic Acids Res., 2022)

Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. - Deunsol Jung; Sanghyun Kim; Won Hwa Kim; 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 (CVPR, 2023)

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

Relational Context Learning for Human-Object Interaction Detection. - Sanghyun Kim; Deunsol Jung; Minsu Cho (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 005; Byungjin Kim; Seungwook Kim 005; Minsu Cho (CVPR, 2023)

Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. - Seungwook Kim 005; Chunghyun Park; Yoonwoo Jeong; Jaesik Park; Minsu Cho (ICML, 2023)

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

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

PriViT: Vision Transformers for Fast Private Inference. - Naren Dhyani; Jianqiao Mo; Minsu Cho; Ameya Joshi; Siddharth Garg; Brandon Reagen; Chinmay Hegde (CoRR, 2023)

Model Predictive Control of Autonomous Vehicles With Integrated Barriers Using Occupancy Grid Maps. - Minsu Cho; YeongSeok Lee; Kyung-Soo Kim 001 (IEEE Robotics Autom. Lett., 2023)

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. - Juhong Min; Seungwook Kim 005; Minsu Cho (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Contrastive Mean-Shift Learning for Generalized Category Discovery. - Sua Choi; Dahyun Kang; 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 (CVPR, 2024)

Burst Image Super-Resolution with Base Frame Selection. - Sanghyun Kim; Min Jung Lee; Woohyeok Kim; Deunsol Jung; Jaesung Rim; Sunghyun Cho; Minsu Cho (CVPR Workshops, 2024)

Learning Correlation Structures for Vision Transformers. - Manjin Kim; Paul Hongsuck Seo; Cordelia Schmid; Minsu Cho (CVPR, 2024)

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

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

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. - Yoonwoo Jeong; Jinwoo Lee; Chiheon Kim; Minsu Cho; Doyup Lee (ECCV (48), 2024)

In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation. - Dahyun Kang; Minsu Cho (ECCV (41), 2024)

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

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

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. - Jungtaek Kim 001; Jeongbeen Yoon; Minsu Cho (ICLR, 2024)

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

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

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

Efficient Semantic Matching with Hypercolumn Correlation. - Seungwook Kim 005; Juhong Min; Minsu Cho (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)

Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. - Seungwook Kim 005; Kejie Li; Xueqing Deng; Yichun Shi; Minsu Cho; Peng Wang (CoRR, 2024)

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. - Chunghyun Park; Seungwook Kim 005; Jaesik Park; Minsu Cho (CoRR, 2024)

Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation. - Seungwook Kim 005; Yichun Shi; Kejie Li; Minsu Cho; Peng Wang (CoRR, 2024)

RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos. - Yoonwoo Jeong; Junmyeong Lee; Hoseung Choi; Minsu Cho (CoRR, 2024)

Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review. - Gyunam Park; Minsu Cho; Jiyoon Lee (Expert Syst. Appl., 2024)

Enhancing healthcare process analysis through object-centric process mining: Transforming OMOP common data models into object-centric event logs. - Gyunam Park; Yaejin Lee; Minsu Cho (J. Biomed. Informatics, 2024)

Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction. - Seokjun Ahn; Jungtaek Kim 001; Minsu Cho; Jaesik Park (Trans. Mach. Learn. Res., 2024)

PriViT: Vision Transformers for Private Inference. - Naren Dhyani; Jianqiao Cambridge Mo; Patrick Yubeaton; Minsu Cho; Ameya Joshi; Siddharth Garg; Brandon Reagen; Chinmay Hegde (Trans. Mach. Learn. Res., 2024)

Unlocking learner engagement and performance: A multidimensional approach to mapping learners to learning cohorts. - Hyomin Kim; Gyunam Park; Minsu Cho (Educ. Inf. Technol., 2024)

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

Video Summarization with Large Language Models. - Min Jung Lee; Dayoung Gong; Minsu Cho (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; Christopher B. Choy (CVPR, 2025)

Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection. - Ahyun Seo; Minsu Cho (CVPR, 2025)

MVFormer: Diversifying feature normalization and token mixing for efficient vision transformers. - Jongseong Bae; Susang Kim; Minsu Cho; Ha Young Kim (Pattern Recognit. Lett., 2025)

Strategic algorithm for cable wiring using dual arm with compliance control. - Youngsu Cho; Minsu Cho; Jongwoo Park 002; Byung-Kil Han; Young Hun Lee; Sung-Hyuk Song; Chanhun Park; Dong Il Park 001 (Robotics Comput. Integr. Manuf., 2025)

Memory-Modular Classification: Learning to Generalize with Memory Replacement. - Dahyun Kang; Ahmet Iscen; Eunchan Jo; Sua Choi; Minsu Cho; Cordelia Schmid (Trans. Mach. Learn. Res., 2025)

Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling. - Junhong Lee; Seungwook Kim; Minsu Cho (CoRR, 2025)

Affogato: Learning Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale. - Junha Lee; Eunha Park; Chunghyun Park; Dahyun Kang; Minsu Cho (CoRR, 2025)

Combinative Matching for Geometric Shape Assembly. - Nahyuk Lee; Juhong Min; Junhong Lee; Chunghyun Park; Minsu Cho (CoRR, 2025)

Axis-level Symmetry Detection with Group-Equivariant Representation. - Wongyun Yu; Ahyun Seo; Minsu Cho (CoRR, 2025)

Generic Event Boundary Detection via Denoising Diffusion. - Jaejun Hwang; Dayoung Gong; Manjin Kim; Minsu Cho (CoRR, 2025)