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ORCIDMinsu Cho
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2020 – today
- 2025
[j19]Youngsu Cho, Minsu Cho, Jongwoo Park, Byung-Kil Han, Young Hun Lee, Sung-Hyuk Song, Chanhun Park, Dong Il Park:
Strategic algorithm for cable wiring using dual arm with compliance control. Robotics Comput. Integr. Manuf. 93: 102924 (2025)- [e10]Minsu Cho
, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part I. Lecture Notes in Computer Science 15472, Springer 2025, ISBN 978-981-96-0884-3 [contents] - [e9]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15473, Springer 2025, ISBN 978-981-96-0900-0 [contents] - [e8]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part III. Lecture Notes in Computer Science 15474, Springer 2025, ISBN 978-981-96-0907-9 [contents] - [e7]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IV. Lecture Notes in Computer Science 15475, Springer 2025, ISBN 978-981-96-0910-9 [contents] - [e6]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part V. Lecture Notes in Computer Science 15476, Springer 2025, ISBN 978-981-96-0916-1 [contents] - [e5]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VI. Lecture Notes in Computer Science 15477, Springer 2025, ISBN 978-981-96-0959-8 [contents] - [e4]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VII. Lecture Notes in Computer Science 15478, Springer 2025, ISBN 978-981-96-0962-8 [contents] - [e3]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VIII. Lecture Notes in Computer Science 15479, Springer 2025, ISBN 978-981-96-0965-9 [contents] - [e2]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IX. Lecture Notes in Computer Science 15480, Springer 2025, ISBN 978-981-96-0968-0 [contents] - [e1]Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha:
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part X. Lecture Notes in Computer Science 15481, Springer 2025, ISBN 978-981-96-0971-0 [contents] - 2024
- [j18]Hyomin Kim, Gyunam Park, Minsu Cho:
Unlocking learner engagement and performance: A multidimensional approach to mapping learners to learning cohorts. Educ. Inf. Technol. 29(17): 23817-23857 (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) - [c113]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 - [c112]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 - [c111]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CVPR 2024: 13235-13245 - [c110]Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CVPR 2024: 18941-18951 - [c109]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CVPR 2024: 22978-22987 - [c108]Sua Choi, Dahyun Kang, Minsu Cho:
Contrastive Mean-Shift Learning for Generalized Category Discovery. CVPR 2024: 23094-23104 - [c107]Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak:
Online Temporal Action Localization with Memory-Augmented Transformer. ECCV (19) 2024: 74-91 - [c106]Dahyun Kang, Minsu Cho:
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation. ECCV (41) 2024: 143-164 - [c105]Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak:
Towards More Practical Group Activity Detection: A New Benchmark and Model. ECCV (47) 2024: 240-258 - [c104]Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee:
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image. ECCV (48) 2024: 449-466 - [c103]Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak:
Classification Matters: Improving Video Action Detection with Class-Specific Attention. ECCV (20) 2024: 450-467 - [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 - [i98]Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho:
Learning Correlation Structures for Vision Transformers. CoRR abs/2404.03924 (2024) - [i97]Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid:
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering. CoRR abs/2404.06511 (2024) - [i96]Sua Choi, Dahyun Kang, Minsu Cho:
Contrastive Mean-Shift Learning for Generalized Category Discovery. CoRR abs/2404.09451 (2024) - [i95]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) - [i94]Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho:
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform. CoRR abs/2404.11156 (2024) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak:
Online Temporal Action Localization with Memory-Augmented Transformer. CoRR abs/2408.02957 (2024) - [i88]Dahyun Kang, Minsu Cho:
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation. CoRR abs/2408.04961 (2024) - [i87]Jongmin Lee, Minsu Cho:
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction. CoRR abs/2411.00543 (2024) - [i86]Jongseong Bae, Susang Kim, Minsu Cho, Ha Young Kim:
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers. CoRR abs/2411.18995 (2024) - [i85]Yoonwoo Jeong, Junmyeong Lee, Hoseung Choi, Minsu Cho:
RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos. CoRR abs/2412.03077 (2024) - [i84]Dayoung Gong, Suha Kwak, Minsu Cho:
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation. CoRR abs/2412.04353 (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]