Minsu Cho

ORCID

Publication Activity (10 Years)

Years Active: 2007-2023
Publications (10 Years): 176

Top Venues

Publications

Minsu Cho, YeongSeok Lee, Kyung-Soo Kim
Model Predictive Control of Autonomous Vehicles With Integrated Barriers Using Occupancy Grid Maps. IEEE Robotics Autom. Lett. 8 (4) (2023)
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CoRR (2023)
Juhong Min, Seungwook Kim, Minsu Cho
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
Locality-Aware Generalizable Implicit Neural Representation. NeurIPS (2023)
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR (2023)
Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. CVPR (2023)
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. CoRR (2023)
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
Learning Rotation-Equivariant Features for Visual Correspondence. CVPR (2023)
Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak
Towards More Practical Group Activity Detection: A New Benchmark and Model. CoRR (2023)
Jungtaek Kim, Jeongbeen Yoon, Minsu Cho
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. CoRR (2023)
Sanghyun Kim, Deunsol Jung, Minsu Cho
Relational Context Learning for Human-Object Interaction Detection. CVPR (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. NeurIPS (2023)
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR (2023)
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
Activity Grammars for Temporal Action Segmentation. CoRR (2023)
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
Locality-Aware Generalizable Implicit Neural Representation. CoRR (2023)
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. ICML (2023)
Seungwook Kim, Juhong Min, Minsu Cho
Efficient Semantic Matching with Hypercolumn Correlation. CoRR (2023)
Sanghyun Kim, Deunsol Jung, Minsu Cho
Relational Context Learning for Human-Object Interaction Detection. CoRR (2023)
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. CoRR (2023)
Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
PriViT: Vision Transformers for Fast Private Inference. CoRR (2023)
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
Learning Rotation-Equivariant Features for Visual Correspondence. CoRR (2023)
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR (2023)
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CVPR (2023)
YeongSeok Lee, Minsu Cho, Kyung-Soo Kim
GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles. IROS (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Autoregressive Image Generation using Residual Quantization. CVPR (2022)
Jongmin Lee, Byungjin Kim, Minsu Cho
Self-Supervised Equivariant Learning for Oriented Keypoint Detection. CoRR (2022)
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
Generalizable Implicit Neural Representations via Instance Pattern Composers. CoRR (2022)
Jungtaek Kim, Seungjin Choi, Minsu Cho
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI (2022)
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
Contrastive Regularization for Semi-Supervised Learning. CoRR (2022)
Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park
Sequential Brick Assembly with Efficient Constraint Satisfaction. CoRR (2022)
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. WACV (2022)
Jongmin Lee, Byungjin Kim, Minsu Cho
Self-Supervised Equivariant Learning for Oriented Keypoint Detection. CVPR (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. CoRR (2022)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20 (5) (2022)
Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
Revisiting Self-Distillation. CoRR (2022)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Self-Taught Metric Learning without Labels. CVPR (2022)
Dahyun Kang, Minsu Cho
Integrative Few-Shot Learning for Classification and Segmentation. CVPR (2022)
Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
Peripheral Vision Transformer. CoRR (2022)
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
Learning to Assemble Geometric Shapes. CoRR (2022)
Seungwook Kim, Juhong Min, Minsu Cho
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CVPR (2022)
Seungwook Kim, Juhong Min, Minsu Cho
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CoRR (2022)
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
Towards Sequence-Level Training for Visual Tracking. ECCV (22) (2022)
Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks. CoRR (2022)
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
Fast Point Transformer. CVPR (2022)
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
Reflection and Rotation Symmetry Detection via Equivariant Learning. CoRR (2022)
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. CoRR (2022)
Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
Peripheral Vision Transformer. NeurIPS (2022)
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS (2022)
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
PeRFception: Perception using Radiance Fields. CoRR (2022)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Self-Taught Metric Learning without Labels. CoRR (2022)
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
Future Transformer for Long-term Action Anticipation. CVPR (2022)
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
Contrastive Regularization for Semi-Supervised Learning. CVPR Workshops (2022)
Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Selective Network Linearization for Efficient Private Inference. ICML (2022)
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
Reflection and Rotation Symmetry Detection via Equivariant Learning. CVPR (2022)
Gongyu Tang, Minsu Cho, Xiaowei Wang
OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer. Nucleic Acids Res. 50 (D1) (2022)
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
Towards Sequence-Level Training for Visual Tracking. CoRR (2022)
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
Detector-Free Weakly Supervised Group Activity Recognition. CVPR (2022)
Ji-Il Park, Minseong Choi, Seungho Han, YeongSeok Lee, Jinwoo Cho, Hyoseo Choi, Minsu Cho, Minyoung Lee, Kyung-Soo Kim
Development of ROS-based Small Unmanned Platform for Acquiring Autonomous Driving Dataset in Various Places and Weather Conditions. COMPSAC (2022)
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. ACCV (5) (2022)
Dahyun Kang, Minsu Cho
Integrative Few-Shot Learning for Classification and Segmentation. CoRR (2022)
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
Self-Supervised Learning of Image Scale and Orientation. CoRR (2022)
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
Future Transformer for Long-term Action Anticipation. CoRR (2022)
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. CoRR (2022)
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park
PeRFception: Perception using Radiance Fields. NeurIPS (2022)
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
Detector-Free Weakly Supervised Group Activity Recognition. CoRR (2022)
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Autoregressive Image Generation using Residual Quantization. CoRR (2022)
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
Learning to Assemble Geometric Shapes. IJCAI (2022)
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
Relational Self-Attention: What's Missing in Attention for Video Understanding. CoRR (2021)
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
Self-Supervised Learning of Image Scale and Orientation. BMVC (2021)
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
Relational Embedding for Few-Shot Classification. CoRR (2021)
Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. NeurIPS (2021)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Embedding Transfer with Label Relaxation for Improved Metric Learning. CoRR (2021)
Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho
IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos. CVPR Workshops (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)
Junha Lee, Seung-wook Kim, Minsu Cho, Jaesik Park
Deep Hough Voting for Robust Global Registration. CoRR (2021)
Juhong Min, Seung Wook Kim, Minsu Cho
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. CoRR (2021)
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
Relational Self-Attention: What's Missing in Attention for Video Understanding. NeurIPS (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. NeurIPS (2021)
Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Self-Calibrating Neural Radiance Fields. CoRR (2021)
Ahyun Seo, Woohyeon Shim, Minsu Cho
Learning to Discover Reflection Symmetry via Polar Matching Convolution. ICCV (2021)
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
Differentiable Spline Approximations. CoRR (2021)
Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Self-Calibrating Neural Radiance Fields. ICCV (2021)
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. CoRR (2021)
Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. CoRR (2021)
Juhong Min, Dahyun Kang, Minsu Cho
Hypercorrelation Squeeze for Few-Shot Segmenation. ICCV (2021)
Juhong Min, Minsu Cho
Convolutional Hough Matching Networks. CoRR (2021)
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. CoRR (2021)
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
Relational Embedding for Few-Shot Classification. ICCV (2021)
Ahyun Seo, Woohyeon Shim, Minsu Cho
Learning to Discover Reflection Symmetry via Polar Matching Convolution. CoRR (2021)
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
Deep Hough Voting for Robust Global Registration. ICCV (2021)
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
Fast Point Transformer. CoRR (2021)
Jongmin Lee, Yoonwoo Jeong, Seung Wook Kim, Juhong Min, Minsu Cho
Learning to Distill Convolutional Features into Compact Local Descriptors. WACV (2021)
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR (2021)
Juhong Min, Minsu Cho
Convolutional Hough Matching Networks. CVPR (2021)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. CoRR (2021)
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning. NeurIPS (2021)
Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Embedding Transfer With Label Relaxation for Improved Metric Learning. CVPR (2021)
Juhong Min, Dahyun Kang, Minsu Cho
Hypercorrelation Squeeze for Few-Shot Segmentation. CoRR (2021)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. ECCV (16) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minsu Cho