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

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

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

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation. - Lee, Junha; Park, Chunghyun; Choe, Jaesung; Wang, Yu-Chiang Frank; Kautz, Jan; Cho, Minsu; Choy, Christopher B. (2025)

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

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

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

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part I (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part II (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part III (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IV (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part V (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VI (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VII (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VIII (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IX (Springer, 2025)

Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part X (Springer, 2025)

Computer Vision - ACCV 2024 Workshops - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Revised Selected Papers, Part I (Springer, 2025)

Computer Vision - ACCV 2024 Workshops - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Revised Selected Papers, Part II (Springer, 2025)

Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation. - Lee, Junha; Park, Chunghyun; Choe, Jaesung; Wang, Yu-Chiang Frank; Kautz, Jan; Cho, Minsu; Choy, Christopher B. (CoRR, 2025)

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

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

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

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

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

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

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

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

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

Few-Shot Pattern Detection via Template Matching and Regression. - Jo, Eunchan; Kang, Dahyun; Kim, Sanghyun; Choi, Yunseon; Cho, Minsu (CoRR, 2025)

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

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

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

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

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

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

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

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

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

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

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

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

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

Towards More Practical Group Activity Detection: A New Benchmark and Model. - Kim, Dongkeun; Song, Youngkil; Cho, Minsu; Kwak, Suha (2024)

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

Classification Matters: Improving Video Action Detection with Class-Specific Attention. - Lee, Jinsung; Kim, Taeoh; Lee, Inwoong; Shim, Minho; Wee, Dongyoon; Cho, Minsu; Kwak, Suha (2024)

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

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

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

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

Efficient Semantic Matching with Hypercolumn Correlation. - Kim, Seungwook; Min, Juhong; Cho, Minsu (2024)

Optical Flow Domain Adaptation via Target Style Transfer. - Yoon, Jeongbeen; Kim, Sanghyun; Kwak, Suha; Cho, Minsu (2024)

Self-supervised Learning of Semantic Correspondence Using Web Videos. - Kwon, Donghyeon; Cho, Minsu; Kwak, Suha (2024)

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

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

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

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

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

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

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

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

Classification Matters: Improving Video Action Detection with Class-Specific Attention. - Lee, Jinsung; Kim, Taeoh; Lee, Inwoong; Shim, Minho; Wee, Dongyoon; Cho, Minsu; Kwak, Suha (CoRR, 2024)

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

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

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

MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers. - Bae, Jongseong; Kim, Susang; Cho, Minsu; Kim, Ha Young (CoRR, 2024)

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

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

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

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

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

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

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

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

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

Learning Rotation-Equivariant Features for Visual Correspondence. - Lee, Jongmin; Kim, Byungjin; Kim, Seungwook; Cho, Minsu (2023)

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

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

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

Learning Rotation-Equivariant Features for Visual Correspondence. - Lee, Jongmin; Kim, Byungjin; Kim, Seungwook; Cho, Minsu (CoRR, 2023)

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

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

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

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

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

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

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. - Kim, Jungtaek; Yoon, Jeongbeen; Cho, Minsu (CoRR, 2023)

Efficient Semantic Matching with Hypercolumn Correlation. - Kim, Seungwook; Min, Juhong; Cho, Minsu (CoRR, 2023)

Towards More Practical Group Activity Detection: A New Benchmark and Model. - Kim, Dongkeun; Song, Youngkil; Cho, Minsu; Kwak, Suha (CoRR, 2023)

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

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. - Jeong, Yoonwoo; Lee, Jinwoo; Kim, Chiheon; Cho, Minsu; Lee, Doyup (CoRR, 2023)

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

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

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

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

Future Transformer for Long-term Action Anticipation. - Gong, Dayoung; Lee, Joonseok; Kim, Manjin; Ha, Seong Jong; Cho, Minsu (2022)

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

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

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

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

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

Integrative Few-Shot Learning for Classification and Segmentation. - Kang, Dahyun; Cho, Minsu (2022)

Autoregressive Image Generation using Residual Quantization. - Lee, Doyup; Kim, Chiheon; Kim, Saehoon; Cho, Minsu; Han, Wook-Shin (2022)

Fast Point Transformer. - Park, Chunghyun; Jeong, Yoonwoo; Cho, Minsu; Park, Jaesik (2022)

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

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

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

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

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

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

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

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

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

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

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

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

Autoregressive Image Generation using Residual Quantization. - Lee, Doyup; Kim, Chiheon; Kim, Saehoon; Cho, Minsu; Han, Wook-Shin (CoRR, 2022)

Integrative Few-Shot Learning for Classification and Segmentation. - Kang, Dahyun; Cho, Minsu (CoRR, 2022)

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

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

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

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

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

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

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

Future Transformer for Long-term Action Anticipation. - Gong, Dayoung; Lee, Joonseok; Kim, Manjin; Ha, Seong Jong; Cho, Minsu (CoRR, 2022)

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

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

Self-Supervised Learning of Image Scale and Orientation. - Lee, Jongmin; Jeong, Yoonwoo; Cho, Minsu (CoRR, 2022)

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

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

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

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

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. - Kang, Hyolim; Kim, Hanjung; An, Joungbin; Cho, Minsu; Kim, Seon Joo (CoRR, 2022)

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

Generalizable Implicit Neural Representations via Instance Pattern Composers. - Kim, Chiheon; Lee, Doyup; Kim, Saehoon; Cho, Minsu; Han, Wook-Shin (CoRR, 2022)

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

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

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

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

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

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

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

Relational Embedding for Few-Shot Classification. - Kang, Dahyun; Kwon, Heeseung; Min, Juhong; Cho, Minsu (2021)

Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. - Kwon, Heeseung; Kim, Manjin; Kwak, Suha; Cho, Minsu (2021)

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

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

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

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

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

Learning to Distill Convolutional Features into Compact Local Descriptors. - Lee, Jongmin; Jeong, Yoonwoo; Kim, Seungwook; Min, Juhong; Cho, Minsu (2021)

Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. - Kwon, Heeseung; Kim, Manjin; Kwak, Suha; Cho, Minsu (CoRR, 2021)

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

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

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

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

Relational Embedding for Few-Shot Classification. - Kang, Dahyun; Kwon, Heeseung; Min, Juhong; Cho, Minsu (CoRR, 2021)

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

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

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

Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. - Min, Juhong; Kim, Seungwook; Cho, Minsu (CoRR, 2021)

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

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

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

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

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. - Yoon, Jeongbeen; Kang, Dahyun; Cho, Minsu (CoRR, 2021)

Fast Point Transformer. - Park, Chunghyun; Jeong, Yoonwoo; Cho, Minsu; Park, Jaesik (CoRR, 2021)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos. - Moon, Gyeongsik; Kwon, Heeseung; Lee, Kyoung Mu; Cho, Minsu (CoRR, 2020)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Universal Bounding Box Regression and Its Applications. - Lee, Seungkwan; Kwak, Suha; Cho, Minsu (CoRR, 2019)

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

Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. - Cho, Minsu; Hegde, Chinmay (CoRR, 2019)

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

Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. - Min, Juhong; Lee, Jongmin; Ponce, Jean; Cho, Minsu (CoRR, 2019)

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

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

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

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. - Jung, Ilchae; You, Kihyun; Noh, Hyeonwoo; Cho, Minsu; Han, Bohyung (CoRR, 2019)

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

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

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

Universal Bounding Box Regression and Its Applications. - Lee, Seungkwan; Kwak, Suha; Cho, Minsu (2018)

Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection. - Son, Jeany; Kim, Daniel; Lee, Solae; Kwak, Suha; Cho, Minsu; Han, Bohyung (2018)

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

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

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

InstaGAN: Instance-aware Image-to-Image Translation. - Mo, Sangwoo; Cho, Minsu; Shin, Jinwoo (CoRR, 2018)

Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques. - Cho, Minsu; Song, Minseok; Comuzzi, Marco; Yoo, Sooyoung (Decis. Support Syst., 2017)

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

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

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

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

Proposal Flow: Semantic Correspondences from Object Proposals. - Ham, Bumsub; Cho, Minsu; Schmid, Cordelia; Ponce, Jean (CoRR, 2017)

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

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

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

Proposal Flow. - Ham, Bumsub; Cho, Minsu; Schmid, Cordelia; Ponce, Jean (2016)

Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. - Kwak, Suha; Cho, Minsu; Laptev, Ivan (2016)

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

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

Text-guided Attention Model for Image Captioning. - Mun, Jonghwan; Cho, Minsu; Han, Bohyung (CoRR, 2016)

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

Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. - Cho, Minsu; Kwak, Suha; Schmid, Cordelia; Ponce, Jean (2015)

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

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

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

Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. - Cho, Minsu; Kwak, Suha; Schmid, Cordelia; Ponce, Jean (CoRR, 2015)

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

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

Proposal Flow. - Ham, Bumsub; Cho, Minsu; Schmid, Cordelia; Ponce, Jean (CoRR, 2015)

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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