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2020 – today
- 2024
[j17]Gyunam Park
, Minsu Cho, Jiyoon Lee:
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review. Expert Syst. Appl. 239: 122435 (2024)- [j16]Gyunam Park, Yaejin Lee, Minsu Cho:
Enhancing healthcare process analysis through object-centric process mining: Transforming OMOP common data models into object-centric event logs. J. Biomed. Informatics 156: 104682 (2024) - [c108]Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho:
Burst Image Super-Resolution with Base Frame Selection. CVPR Workshops 2024: 5940-5949 - [c107]Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang:
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. CVPR 2024: 10649-10658 - [c106]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CVPR 2024: 13235-13245 - [c105]Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CVPR 2024: 18941-18951 - [c104]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CVPR 2024: 22978-22987 - [c103]Sua Choi, Dahyun Kang, Minsu Cho:
Contrastive Mean-Shift Learning for Generalized Category Discovery. CVPR 2024: 23094-23104 - [c102]Jungtaek Kim, Jeongbeen Yoon, Minsu Cho:
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. ICLR 2024 - [c101]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. ICML 2024 - [c100]Seungwook Kim, Juhong Min, Minsu Cho:
Efficient Semantic Matching with Hypercolumn Correlation. WACV 2024: 138-147 - [c99]Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho:
Optical Flow Domain Adaptation via Target Style Transfer. WACV 2024: 2100-2110 - [c98]Donghyeon Kwon, Minsu Cho, Suha Kwak:
Self-supervised Learning of Semantic Correspondence Using Web Videos. WACV 2024: 2131-2141 - [i94]Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CoRR abs/2404.03924 (2024) - [i93]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CoRR abs/2404.06511 (2024) - [i92]Sua Choi, Dahyun Kang, Minsu Cho:
Contrastive Mean-Shift Learning for Generalized Category Discovery. CoRR abs/2404.09451 (2024) - [i91]Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang:
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences. CoRR abs/2404.10603 (2024) - [i90]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CoRR abs/2404.11156 (2024) - [i89]Seungwook Kim, Yichun Shi, Kejie Li, Minsu Cho, Peng Wang:
Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation. CoRR abs/2404.17419 (2024) - [i88]Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho:
Burst Image Super-Resolution with Base Frame Selection. CoRR abs/2406.17869 (2024) - [i87]Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho:
3D Geometric Shape Assembly via Efficient Point Cloud Matching. CoRR abs/2407.10542 (2024) - [i86]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 abs/2407.19698 (2024) - [i85]Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak:
Online Temporal Action Localization with Memory-Augmented Transformer. CoRR abs/2408.02957 (2024) - [i84]Dahyun Kang, Minsu Cho:
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation. CoRR abs/2408.04961 (2024) - 2023
- [j15]Juhong Min, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8159-8175 (2023) - [j14]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): 2006-2013 (2023) - [c97]Sanghyun Kim, Deunsol Jung, Minsu Cho:
Relational Context Learning for Human-Object Interaction Detection. CVPR 2023: 2925-2934 - [c96]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: 6514-6523 - [c95]Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Generalizable Implicit Neural Representations via Instance Pattern Composers. CVPR 2023: 11808-11817 - [c94]Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho:
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CVPR 2023: 18664-18674 - [c93]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CVPR 2023: 19627-19638 - [c92]Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho:
Learning Rotation-Equivariant Features for Visual Correspondence. CVPR 2023: 21887-21897 - [c91]Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho:
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. ICML 2023: 16787-16806 - [c90]Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho:
Activity Grammars for Temporal Action Segmentation. NeurIPS 2023 - [c89]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. NeurIPS 2023 - [i83]Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho:
Learning Rotation-Equivariant Features for Visual Correspondence. CoRR abs/2303.15472 (2023) - [i82]Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho:
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation. CoRR abs/2304.03495 (2023) - [i81]Sanghyun Kim, Deunsol Jung, Minsu Cho:
Relational Context Learning for Human-Object Interaction Detection. CoRR abs/2304.04997 (2023) - [i80]Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho:
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning. CoRR abs/2306.11406 (2023) - [i79]Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray:
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation. CoRR abs/2307.03407 (2023) - [i78]Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
PriViT: Vision Transformers for Fast Private Inference. CoRR abs/2310.04604 (2023) - [i77]Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han:
Locality-Aware Generalizable Implicit Neural Representation. CoRR abs/2310.05624 (2023) - [i76]Jungtaek Kim, Jeongbeen Yoon, Minsu Cho:
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions. CoRR abs/2310.07174 (2023) - [i75]Seungwook Kim, Juhong Min, Minsu Cho:
Efficient Semantic Matching with Hypercolumn Correlation. CoRR abs/2311.04336 (2023) - [i74]Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak:
Towards More Practical Group Activity Detection: A New Benchmark and Model. CoRR abs/2312.02878 (2023) - [i73]Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho:
Activity Grammars for Temporal Action Segmentation. CoRR abs/2312.04266 (2023) - [i72]Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee:
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. CoRR abs/2312.07315 (2023) - 2022
- [j13]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: A Deep Neural Network Design for Private Inference. IEEE Secur. Priv. 20(5): 22-34 (2022) - [j12]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): 1334-1339 (2022) - [c88]Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho:
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. ACCV (5) 2022: 54-70 - [c87]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: 24-31 - [c86]Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho:
Future Transformer for Long-term Action Anticipation. CVPR 2022: 3042-3051 - [c85]Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CVPR Workshops 2022: 3910-3919 - [c84]Jongmin Lee, Byungjin Kim, Minsu Cho:
Self-Supervised Equivariant Learning for Oriented Keypoint Detection. CVPR 2022: 4837-4847 - [c83]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Self-Taught Metric Learning without Labels. CVPR 2022: 7421-7431 - [c82]Seungwook Kim, Juhong Min, Minsu Cho:
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CVPR 2022: 8687-8697 - [c81]Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho:
Reflection and Rotation Symmetry Detection via Equivariant Learning. CVPR 2022: 9529-9538 - [c80]Dahyun Kang, Minsu Cho:
Integrative Few-Shot Learning for Classification and Segmentation. CVPR 2022: 9969-9980 - [c79]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CVPR 2022: 11513-11522 - [c78]Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park:
Fast Point Transformer. CVPR 2022: 16928-16937 - [c77]Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak:
Detector-Free Weakly Supervised Group Activity Recognition. CVPR 2022: 20051-20061 - [c76]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. ECCV (22) 2022: 534-551 - [c75]Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. ICML 2022: 3947-3961 - [c74]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. IJCAI 2022: 1046-1052 - [c73]YeongSeok Lee, Minsu Cho, Kyung-Soo Kim:
GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles. IROS 2022: 4797-4804 - [c72]Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park:
PeRFception: Perception using Radiance Fields. NeurIPS 2022 - [c71]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. NeurIPS 2022 - [c70]Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho:
Peripheral Vision Transformer. NeurIPS 2022 - [c69]Jungtaek Kim, Seungjin Choi, Minsu Cho:
Combinatorial Bayesian optimization with random mapping functions to convex polytopes. UAI 2022: 1001-1011 - [c68]Jeongbeen Yoon, Dahyun Kang, Minsu Cho:
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. WACV 2022: 1686-1695 - [i71]Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han:
Contrastive Regularization for Semi-Supervised Learning. CoRR abs/2201.06247 (2022) - [i70]Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde:
Selective Network Linearization for Efficient Private Inference. CoRR abs/2202.02340 (2022) - [i69]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Autoregressive Image Generation using Residual Quantization. CoRR abs/2203.01941 (2022) - [i68]Dahyun Kang, Minsu Cho:
Integrative Few-Shot Learning for Classification and Segmentation. CoRR abs/2203.15712 (2022) - [i67]Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho:
Reflection and Rotation Symmetry Detection via Equivariant Learning. CoRR abs/2203.16787 (2022) - [i66]Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak:
Detector-Free Weakly Supervised Group Activity Recognition. CoRR abs/2204.02139 (2022) - [i65]Jongmin Lee, Byungjin Kim, Minsu Cho:
Self-Supervised Equivariant Learning for Oriented Keypoint Detection. CoRR abs/2204.08613 (2022) - [i64]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Self-Taught Metric Learning without Labels. CoRR abs/2205.01903 (2022) - [i63]Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde:
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness. CoRR abs/2205.06154 (2022) - [i62]Seungwook Kim, Juhong Min, Minsu Cho:
TransforMatcher: Match-to-Match Attention for Semantic Correspondence. CoRR abs/2205.11634 (2022) - [i61]Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho:
Learning to Assemble Geometric Shapes. CoRR abs/2205.11809 (2022) - [i60]Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho:
Future Transformer for Long-term Action Anticipation. CoRR abs/2205.14022 (2022) - [i59]Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer. CoRR abs/2206.04452 (2022) - [i58]Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho:
Peripheral Vision Transformer. CoRR abs/2206.06801 (2022) - [i57]Jongmin Lee, Yoonwoo Jeong, Minsu Cho:
Self-Supervised Learning of Image Scale and Orientation. CoRR abs/2206.07259 (2022) - [i56]Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde:
Revisiting Self-Distillation. CoRR abs/2206.08491 (2022) - [i55]Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho:
Towards Sequence-Level Training for Visual Tracking. CoRR abs/2208.05810 (2022) - [i54]Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
PeRFception: Perception using Radiance Fields. CoRR abs/2208.11537 (2022) - [i53]Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park:
Sequential Brick Assembly with Efficient Constraint Satisfaction. CoRR abs/2210.01021 (2022) - [i52]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 abs/2211.06023 (2022) - [i51]Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho:
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval. CoRR abs/2211.07116 (2022) - [i50]Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han:
Generalizable Implicit Neural Representations via Instance Pattern Composers. CoRR abs/2211.13223 (2022) - 2021
- [c67]Jongmin Lee, Yoonwoo Jeong, Minsu Cho:
Self-Supervised Learning of Image Scale and Orientation. BMVC 2021: 389 - [c66]Juhong Min, Minsu Cho:
Convolutional Hough Matching Networks. CVPR 2021: 2940-2950 - [c65]Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho:
IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos. CVPR Workshops 2021: 3339-3348 - [c64]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Embedding Transfer With Label Relaxation for Improved Metric Learning. CVPR 2021: 3967-3976 - [c63]Ahyun Seo, Woohyeon Shim, Minsu Cho:
Learning to Discover Reflection Symmetry via Polar Matching Convolution. ICCV 2021: 1265-1274 - [c62]Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
Self-Calibrating Neural Radiance Fields. ICCV 2021: 5826-5834 - [c61]Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmenation. ICCV 2021: 6921-6932 - [c60]Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho:
Relational Embedding for Few-Shot Classification. ICCV 2021: 8802-8813 - [c59]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. ICCV 2021: 13045-13055 - [c58]Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park:
Deep Hough Voting for Robust Global Registration. ICCV 2021: 15974-15983 - [c57]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: 5745-5757 - [c56]Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. NeurIPS 2021: 8046-8059 - [c55]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. NeurIPS 2021: 20270-20282 - [c54]Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. NeurIPS 2021: 23505-23518 - [c53]Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho:
Learning to Distill Convolutional Features into Compact Local Descriptors. WACV 2021: 897-907 - [i49]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition. CoRR abs/2102.07092 (2021) - [i48]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Embedding Transfer with Label Relaxation for Improved Metric Learning. CoRR abs/2103.14908 (2021) - [i47]Juhong Min, Minsu Cho:
Convolutional Hough Matching Networks. CoRR abs/2103.16831 (2021) - [i46]Juhong Min, Dahyun Kang, Minsu Cho:
Hypercorrelation Squeeze for Few-Shot Segmentation. CoRR abs/2104.01538 (2021) - [i45]Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde:
Sphynx: ReLU-Efficient Network Design for Private Inference. CoRR abs/2106.11755 (2021) - [i44]Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho:
Relational Embedding for Few-Shot Classification. CoRR abs/2108.09666 (2021) - [i43]Ahyun Seo, Woohyeon Shim, Minsu Cho:
Learning to Discover Reflection Symmetry via Polar Matching Convolution. CoRR abs/2108.12952 (2021) - [i42]Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park:
Self-Calibrating Neural Radiance Fields. CoRR abs/2108.13826 (2021) - [i41]Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park:
Deep Hough Voting for Robust Global Registration. CoRR abs/2109.04310 (2021) - [i40]Juhong Min, Seungwook Kim, Minsu Cho:
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence. CoRR abs/2109.05221 (2021) - [i39]Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde:
Differentiable Spline Approximations. CoRR abs/2110.01532 (2021) - [i38]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 abs/2110.15481 (2021) - [i37]Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park:
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training. CoRR abs/2111.01118 (2021) - [i36]Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho:
Relational Self-Attention: What's Missing in Attention for Video Understanding. CoRR abs/2111.01673 (2021) - [i35]Jeongbeen Yoon, Dahyun Kang, Minsu Cho:
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation. CoRR abs/2111.14353 (2021) - [i34]Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park:
Fast Point Transformer. CoRR abs/2112.04702 (2021) - 2020
- [j11]Minsu Cho, Kidong Kim, Jungeun Lim, Hyunyoung Baek, Seok Kim, Hee Hwang, Minseok Song, Sooyoung Yoo:
Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears. Int. J. Medical Informatics 133 (2020) - [c52]Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde:
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models. AAAI 2020: 4377-4384 - [c51]Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han:
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. AAAI 2020: 11205-11212 - [c50]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. CVPR 2020: 3235-3244 - [c49]Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. CVPR 2020: 10807-10816 - [c48]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. ECCV (16) 2020: 345-362 - [c47]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. ECCV (15) 2020: 346-363 - [c46]Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho:
Diversified Mutual Learning for Deep Metric Learning. ECCV Workshops (1) 2020: 709-725 - [c45]Jungeun Lim, Kidong Kim, Minsu Cho, Hyunyoung Baek, Seok Kim, Hee Hwang, Sooyoung Yoo, Minseok Song:
Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data. ICPM Workshops 2020: 356-367 - [c44]Woohyeon Shim, Minsu Cho:
CircleGAN: Generative Adversarial Learning across Spherical Circles. NeurIPS 2020 - [i33]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs. CoRR abs/2002.10964 (2020) - [i32]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. CoRR abs/2003.13911 (2020) - [i31]Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park:
Combinatorial 3D Shape Generation via Sequential Assembly. CoRR abs/2004.07414 (2020) - [i30]Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. CoRR abs/2004.07514 (2020) - [i29]Minsu Cho, Ameya Joshi, Chinmay Hegde:
ESPN: Extremely Sparse Pruned Networks. CoRR abs/2006.15741 (2020) - [i28]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery. CoRR abs/2007.04087 (2020) - [i27]Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho:
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos. CoRR abs/2007.06317 (2020) - [i26]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. CoRR abs/2007.09933 (2020) - [i25]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. CoRR abs/2007.10587 (2020) - [i24]Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho:
Diversified Mutual Learning for Deep Metric Learning. CoRR abs/2009.04170 (2020) - [i23]Woohyeon Shim, Minsu Cho:
CircleGAN: Generative Adversarial Learning across Spherical Circles. CoRR abs/2011.12486 (2020) - [i22]Jungtaek Kim, Minsu Cho, Seungjin Choi:
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope. CoRR abs/2011.13094 (2020)
2010 – 2019
- 2019
- [j10]Minsu Cho, Minseok Song, Sooyoung Yoo, Hajo A. Reijers:
An Evidence-Based Decision Support Framework for Clinician Medical Scheduling. IEEE Access 7: 15239-15249 (2019) - [j9]Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng:
Editorial. Pattern Recognit. Lett. 127: 1-2 (2019) - [c43]Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. ACML 2019: 678-693 - [c42]Minsu Cho, Minseok Song, Seok-Ran Yeom, Il-Jae Wang, Byung-Kwan Choi:
Developing Process Performance Indicators for Emergency Room Processes. Business Process Management Workshops 2019: 520-531 - [c41]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CVPR 2019: 2288-2297 - [c40]Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho:
Relational Knowledge Distillation. CVPR 2019: 3967-3976 - [c39]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CVPR 2019: 8287-8296 - [c38]Minsu Cho, Chinmay Hegde:
Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity. ICASSP 2019: 3627-3631 - [c37]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features. ICCV 2019: 3394-3403 - [c36]Heeseung Kwon, Woohyun Shim, Minsu Cho:
Temporal U-Nets for Video Summarization with Scene and Action Recognition. ICCV Workshops 2019: 1541-1544 - [c35]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. ICLR (Poster) 2019 - [c34]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. NeurIPS 2019: 6167-6178 - [i21]Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce:
Unsupervised Image Matching and Object Discovery as Optimization. CoRR abs/1904.03148 (2019) - [i20]Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho:
Relational Knowledge Distillation. CoRR abs/1904.05068 (2019) - [i19]Seungkwan Lee, Suha Kwak, Minsu Cho:
Universal Bounding Box Regression and Its Applications. CoRR abs/1904.06805 (2019) - [i18]Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak:
Deep Metric Learning Beyond Binary Supervision. CoRR abs/1904.09626 (2019) - [i17]Minsu Cho, Chinmay Hegde:
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity. CoRR abs/1904.11095 (2019) - [i16]Minsu Cho, Mohammadreza Soltani, Chinmay Hegde:
One-Shot Neural Architecture Search via Compressive Sensing. CoRR abs/1906.02869 (2019) - [i15]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features. CoRR abs/1908.06537 (2019) - [i14]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
SPair-71k: A Large-scale Benchmark for Semantic Correspondence. CoRR abs/1908.10543 (2019) - [i13]Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. CoRR abs/1910.01467 (2019) - [i12]Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin:
Mining GOLD Samples for Conditional GANs. CoRR abs/1910.09170 (2019) - [i11]Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han:
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning. CoRR abs/1911.11170 (2019) - 2018
- [j8]Bumsub Ham, Minsu Cho, Jean Ponce:
Robust Guided Image Filtering Using Nonconvex Potentials. IEEE Trans. Pattern Anal. Mach. Intell. 40(1): 192-207 (2018) - [j7]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. IEEE Trans. Pattern Anal. Mach. Intell. 40(7): 1711-1725 (2018) - [j6]Heeseung Kwon, Yeonho Kim, Jin S. Lee, Minsu Cho:
First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling. Pattern Recognit. Lett. 112: 161-167 (2018) - [c33]Seungkwan Lee, Suha Kwak, Minsu Cho:
Universal Bounding Box Regression and Its Applications. ACCV (6) 2018: 373-387 - [c32]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: 632-648 - [c31]Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho:
Attentive Semantic Alignment with Offset-Aware Correlation Kernels. ECCV (4) 2018: 367-383 - [c30]Heeseung Kwon, Suha Kwak, Minsu Cho:
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion. CoVieW@MM 2018: 35-39 - [i10]Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho:
Attentive Semantic Alignment with Offset-Aware Correlation Kernels. CoRR abs/1808.02128 (2018) - [i9]Sangwoo Mo, Minsu Cho, Jinwoo Shin:
InstaGAN: Instance-aware Image-to-Image Translation. CoRR abs/1812.10889 (2018) - 2017
- [j5]Minsu Cho, Minseok Song, Marco Comuzzi, Sooyoung Yoo:
Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques. Decis. Support Syst. 104: 92-103 (2017) - [c29]Jonghwan Mun, Minsu Cho, Bohyung Han:
Text-Guided Attention Model for Image Captioning. AAAI 2017: 4233-4239 - [c28]Minsu Cho, Minseok Song, Carlos Müller, Pablo Fernandez, Adela del-Río-Ortega, Manuel Resinas, Antonio Ruiz Cortés:
A New Framework for Defining Realistic SLAs: An Evidence-Based Approach. BPM (Forum) 2017: 19-35 - [c27]Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han:
Multi-object Tracking with Quadruplet Convolutional Neural Networks. CVPR 2017: 3786-3795 - [c26]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. ICCV 2017: 1849-1858 - [i8]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow: Semantic Correspondences from Object Proposals. CoRR abs/1703.07144 (2017) - [i7]Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce:
SCNet: Learning Semantic Correspondence. CoRR abs/1705.04043 (2017) - 2016
- [j4]Sooyoung Yoo, Minsu Cho, Eunhye Kim, Seok Kim, Yerim Sim, Dong Hyun Yoo, Hee Hwang, Minseok Song:
Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital. Int. J. Medical Informatics 88: 34-43 (2016) - [j3]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1228-1242 (2016) - [c25]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CVPR 2016: 3475-3484 - [c24]Suha Kwak, Minsu Cho, Ivan Laptev:
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation. CVPR 2016: 4938-4947 - [c23]Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev:
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. ECCV (5) 2016: 350-365 - [i6]Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev:
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization. CoRR abs/1609.04331 (2016) - [i5]Jonghwan Mun, Minsu Cho, Bohyung Han:
Text-guided Attention Model for Image Captioning. CoRR abs/1612.03557 (2016) - 2015
- [j2]Man Hee Lee, Minsu Cho, In Kyu Park:
Feature description using local neighborhoods. Pattern Recognit. Lett. 68: 76-82 (2015) - [c22]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals. CVPR 2015: 1201-1210 - [c21]Bumsub Ham, Minsu Cho, Jean Ponce:
Robust image filtering using joint static and dynamic guidance. CVPR 2015: 4823-4831 - [c20]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. ICCV 2015: 3173-3181 - [c19]Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce:
Unsupervised object discovery and localization in images and videos. URAI 2015: 292-293 - [i4]Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce:
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals. CoRR abs/1501.06170 (2015) - [i3]Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu:
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting. CoRR abs/1502.05840 (2015) - [i2]Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid:
Unsupervised Object Discovery and Tracking in Video Collections. CoRR abs/1505.03825 (2015) - [i1]Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce:
Proposal Flow. CoRR abs/1511.05065 (2015) - 2014
- [c18]Minsu Cho, Minseok Song, Sooyoung Yoo:
A Systematic Methodology for Outpatient Process Analysis Based on Process Mining. AP-BPM 2014: 31-42 - [c17]Hanna Yang, Minjeong Park, Minsu Cho, Minseok Song, Seongjoo Kim:
A system architecture for manufacturing process analysis based on big data and process mining techniques. IEEE BigData 2014: 1024-1029 - [c16]Minsu Cho, Jian Sun, Olivier Duchenne, Jean Ponce:
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers. CVPR 2014: 2091-2098 - 2013
- [j1]Young Min Shin, Minsu Cho, Kyoung Mu Lee:
Multi-object reconstruction from dynamic scenes: An object-centered approach. Comput. Vis. Image Underst. 117(11): 1575-1588 (2013) - [c15]Minsu Cho, Karteek Alahari, Jean Ponce:
Learning Graphs to Match. ICCV 2013: 25-32 - [p1]Minsu Cho, Young Min Shin, Kyoung Mu Lee:
Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications. Advanced Topics in Computer Vision 2013: 113-141 - 2012
- [c14]Minsu Cho, Kyoung Mu Lee:
Progressive graph matching: Making a move of graphs via probabilistic voting. CVPR 2012: 398-405 - [c13]Minsu Cho, Kyoung Mu Lee:
Mode-seeking on graphs via random walks. CVPR 2012: 606-613 - [c12]Yumin Suh, Minsu Cho, Kyoung Mu Lee:
Graph Matching via Sequential Monte Carlo. ECCV (3) 2012: 624-637 - 2011
- [c11]Jungmin Lee, Minsu Cho, Kyoung Mu Lee:
Hyper-graph matching via reweighted random walks. CVPR 2011: 1633-1640 - [c10]Kyogu Lee, Minsu Cho:
Mood Classfication from Musical Audio Using User Group-Dependent Models. ICMLA (2) 2011: 130-135 - 2010
- [c9]Minsu Cho, Young Min Shin, Kyoung Mu Lee:
Unsupervised detection and segmentation of identical objects. CVPR 2010: 1617-1624 - [c8]Minsu Cho, Kyoung Mu Lee:
Authority-shift clustering: Hierarchical clustering by authority seeking on graphs. CVPR 2010: 3193-3200 - [c7]Minsu Cho, Jungmin Lee, Kyoung Mu Lee:
Reweighted Random Walks for Graph Matching. ECCV (5) 2010: 492-505 - [c6]Young Min Shin, Minsu Cho, Kyoung Mu Lee:
Co-recognition of Actions in Video Pairs. ICPR 2010: 456-459 - [c5]Jungmin Lee, Minsu Cho, Kyoung Mu Lee:
A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling. ICPR 2010: 2816-2819
2000 – 2009
- 2009
- [c4]Minsu Cho, Kyoung Mu Lee:
Bilateral Symmetry Detection via Symmetry-Growing. BMVC 2009: 1-11 - [c3]Minsu Cho, Jungmin Lee, Kyoung Mu Lee:
Feature correspondence and deformable object matching via agglomerative correspondence clustering. ICCV 2009: 1280-1287 - 2008
- [c2]Minsu Cho, Young Min Shin, Kyoung Mu Lee:
Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration. ECCV (4) 2008: 144-157 - 2007
- [c1]Minsu Cho, Kyoung Mu Lee:
Partially Occluded Object-Specific Segmentation in View-Based Recognition. CVPR 2007
Coauthor Index
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