Minsu Cho

280 papers A* 75A 9B 3C 1Misc 1Journal 147Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
Affostruction: 3D Affordance Grounding with Generative Reconstruction.
CoRR
Chunghyun Park, Seunghyeon Lee, Minsu Cho
2026 J jnl
Cog3DMap: Multi-View Vision-Language Reasoning with 3D Cognitive Maps.
CoRR
Chanyoung Gwak, Yoonwoo Jeong, Byungwoo Jeon, Hyunseok Lee, Jinwoo Shin, Minsu Cho
2026 J jnl
DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning.
CoRR
Junha Lee, Eunha Park, Minsu Cho
2026 J jnl
Extracting declarative constraints for process modeling from natural language descriptions with large language models.
Decis. Support Syst.
Gyunam Park, Julian Kofferath, Minsu Cho
2026 J jnl
Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards.
CoRR
Seungwook Kim, Minsu Cho
2026 J jnl
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance.
CoRR
Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang, Minsu Cho, Jaesung Choe
2026 J jnl
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model.
CoRR
Dongwon Kim, Gawon Seo, Jinsung Lee, Minsu Cho, Suha Kwak
2026 J jnl
Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping.
CoRR
Junmyeong Lee, Hoseung Choi, Minsu Cho
2026 J jnl
Vision-aligned Latent Reasoning for Multi-modal Large Language Model.
CoRR
Byungwoo Jeon, Yoonwoo Jeong, Hyunseok Lee, Minsu Cho, Jinwoo Shin
2025 J jnl
Affogato: Learning Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale.
CoRR
Junha Lee, Eunha Park, Chunghyun Park, Dahyun Kang, Minsu Cho
2025 J jnl
Axis-level Symmetry Detection with Group-Equivariant Representation.
CoRR
Wongyun Yu, Ahyun Seo, Minsu Cho
2025 J jnl
Combinative Matching for Geometric Shape Assembly.
CoRR
Nahyuk Lee, Juhong Min, Junhong Lee, Chunghyun Park, Minsu Cho
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part I
ACCV (1)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part II
ACCV (2)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part III
ACCV (3)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IV
ACCV (4)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part IX
ACCV (9)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part V
ACCV (5)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VI
ACCV (6)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VII
ACCV (7)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part VIII
ACCV (8)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Proceedings, Part X
ACCV (10)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 Workshops - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Revised Selected Papers, Part I
ACCV Workshops (1)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hongbin Zha
2025 — ed.
Computer Vision - ACCV 2024 Workshops - 17th Asian Conference on Computer Vision, Hanoi, Vietnam, December 8-12, 2024, Revised Selected Papers, Part II
ACCV Workshops (2)
Minsu Cho, Ivan Laptev, Du Tran, Angela Yao, Hong-Bin Zha
2025 J jnl
Few-Shot Pattern Detection via Template Matching and Regression.
CoRR
Eunchan Jo, Dahyun Kang, Sanghyun Kim, Yunseon Choi, Minsu Cho
2025 J jnl
FreeAction: Training-Free Techniques for Enhanced Fidelity of Trajectory-to-Video Generation.
CoRR
Seungwook Kim, Seunghyeon Lee, Minsu Cho
2025 J jnl
Generic Event Boundary Detection via Denoising Diffusion.
CoRR
Jaejun Hwang, Dayoung Gong, Manjin Kim, Minsu Cho
2025 J jnl
Harnessing the Power of Training-Free Techniques in Text-to-2D Generation for Text-to-3D Generation via Score Distillation Sampling.
CoRR
Junhong Lee, Seungwook Kim, Minsu Cho
2025 A* conf
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection.
CVPR
Ahyun Seo, Minsu Cho
2025 J jnl
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection.
CoRR
Ahyun Seo, Minsu Cho
2025 A* conf
Locality-Aware Zero-Shot Human-Object Interaction Detection.
CVPR
Sanghyun Kim, Deunsol Jung, Minsu Cho
2025 J jnl
Locality-Aware Zero-Shot Human-Object Interaction Detection.
CoRR
Sanghyun Kim, Deunsol Jung, Minsu Cho
2025 J jnl
MVFormer: Diversifying feature normalization and token mixing for efficient vision transformers.
Pattern Recognit. Lett.
Jongseong Bae, Susang Kim, Minsu Cho, Ha Young Kim
2025 J jnl
Memory-Modular Classification: Learning to Generalize with Memory Replacement.
CoRR
Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid
2025 J jnl
Memory-Modular Classification: Learning to Generalize with Memory Replacement.
Trans. Mach. Learn. Res.
Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid
2025 A* conf
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation.
CVPR
Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Christopher B. Choy
2025 J jnl
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation.
CoRR
Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Christopher B. Choy
2025 J jnl
PanoGrounder: Bridging 2D and 3D with Panoramic Scene Representations for VLM-based 3D Visual Grounding.
CoRR
Seongmin Jung, Seongho Choi, Gunwoo Jeon, Minsu Cho, Jongwoo Lim
2025 J jnl
Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection.
CoRR
Dongkeun Kim, Minsu Cho, Suha Kwak
2025 J jnl
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting.
CoRR
Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang, Minsu Cho, Jaesung Choe
2025 J jnl
RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis.
CoRR
Seungwook Kim, Yichun Shi, Kejie Li, Minsu Cho, Peng Wang
2025 — conf
Similarity-Aware Selective State-Space Modeling for Semantic Correspondence.
ICCVW
Seungwook Kim, Minsu Cho
2025 J jnl
Similarity-Aware Selective State-Space Modeling for Semantic Correspondence.
CoRR
Seungwook Kim, Minsu Cho
2025 J jnl
Strategic algorithm for cable wiring using dual arm with compliance control.
Robotics Comput. Integr. Manuf.
Youngsu Cho, Minsu Cho, Jongwoo Park, Byung-Kil Han, Young Hun Lee, Sung-Hyuk Song, Chanhun Park, Dong Il Park
2025 A* conf
Video Summarization with Large Language Models.
CVPR
Min Jung Lee, Dayoung Gong, Minsu Cho
2025 J jnl
Video Summarization with Large Language Models.
CoRR
Min Jung Lee, Dayoung Gong, Minsu Cho
2024 A* conf
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction.
NeurIPS
Jongmin Lee, Minsu Cho
2024 J jnl
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction.
CoRR
Jongmin Lee, Minsu Cho
2024 A* conf
3D Geometric Shape Assembly via Efficient Point Cloud Matching.
ICML
Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho
2024 J jnl
3D Geometric Shape Assembly via Efficient Point Cloud Matching.
CoRR
Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho
2024 A* conf
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation.
NeurIPS
Dayoung Gong, Suha Kwak, Minsu Cho
2024 J jnl
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation.
CoRR
Dayoung Gong, Suha Kwak, Minsu Cho
2024 J jnl
Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction.
Trans. Mach. Learn. Res.
Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park
2024 — conf
Burst Image Super-Resolution with Base Frame Selection.
CVPR Workshops
Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho
2024 J jnl
Burst Image Super-Resolution with Base Frame Selection.
CoRR
Sanghyun Kim, Min Jung Lee, Woohyeok Kim, Deunsol Jung, Jaesung Rim, Sunghyun Cho, Minsu Cho
2024 — conf
Classification Matters: Improving Video Action Detection with Class-Specific Attention.
ECCV (20)
Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak
2024 J jnl
Classification Matters: Improving Video Action Detection with Class-Specific Attention.
CoRR
Jinsung Lee, Taeoh Kim, Inwoong Lee, Minho Shim, Dongyoon Wee, Minsu Cho, Suha Kwak
2024 A* conf
Contrastive Mean-Shift Learning for Generalized Category Discovery.
CVPR
Sua Choi, Dahyun Kang, Minsu Cho
2024 J jnl
Contrastive Mean-Shift Learning for Generalized Category Discovery.
CoRR
Sua Choi, Dahyun Kang, Minsu Cho
2024 A conf
Efficient Semantic Matching with Hypercolumn Correlation.
WACV
Seungwook Kim, Juhong Min, Minsu Cho
2024 A* conf
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
CVPR
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
2024 J jnl
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences.
CoRR
Seungwook Kim, Kejie Li, Xueqing Deng, Yichun Shi, Minsu Cho, Peng Wang
2024 J jnl
Enhancing healthcare process analysis through object-centric process mining: Transforming OMOP common data models into object-centric event logs.
J. Biomed. Informatics
Gyunam Park, Yaejin Lee, Minsu Cho
2024 A* conf
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions.
ICLR
Jungtaek Kim, Jeongbeen Yoon, Minsu Cho
2024 — conf
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation.
ECCV (41)
Dahyun Kang, Minsu Cho
2024 J jnl
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation.
CoRR
Dahyun Kang, Minsu Cho
2024 A* conf
Learning Correlation Structures for Vision Transformers.
CVPR
Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho
2024 J jnl
Learning Correlation Structures for Vision Transformers.
CoRR
Manjin Kim, Paul Hongsuck Seo, Cordelia Schmid, Minsu Cho
2024 A* conf
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform.
CVPR
Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho
2024 J jnl
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform.
CoRR
Chunghyun Park, Seungwook Kim, Jaesik Park, Minsu Cho
2024 J jnl
Leveraging machine learning for automatic topic discovery and forecasting of process mining research: A literature review.
Expert Syst. Appl.
Gyunam Park, Minsu Cho, Jiyoon Lee
2024 J jnl
MVFormer: Diversifying Feature Normalization and Token Mixing for Efficient Vision Transformers.
CoRR
Jongseong Bae, Susang Kim, Minsu Cho, Ha Young Kim
2024 A* conf
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering.
CVPR
Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid
2024 J jnl
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering.
CoRR
Juhong Min, Shyamal Buch, Arsha Nagrani, Minsu Cho, Cordelia Schmid
2024 J jnl
Multi-view Image Prompted Multi-view Diffusion for Improved 3D Generation.
CoRR
Seungwook Kim, Yichun Shi, Kejie Li, Minsu Cho, Peng Wang
2024 — conf
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image.
ECCV (48)
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee
2024 — conf
Online Temporal Action Localization with Memory-Augmented Transformer.
ECCV (19)
Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak
2024 J jnl
Online Temporal Action Localization with Memory-Augmented Transformer.
CoRR
Youngkil Song, Dongkeun Kim, Minsu Cho, Suha Kwak
2024 A conf
Optical Flow Domain Adaptation via Target Style Transfer.
WACV
Jeongbeen Yoon, Sanghyun Kim, Suha Kwak, Minsu Cho
2024 J jnl
PriViT: Vision Transformers for Private Inference.
Trans. Mach. Learn. Res.
Naren Dhyani, Jianqiao Cambridge Mo, Patrick Yubeaton, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2024 J jnl
RoDyGS: Robust Dynamic Gaussian Splatting for Casual Videos.
CoRR
Yoonwoo Jeong, Junmyeong Lee, Hoseung Choi, Minsu Cho
2024 A conf
Self-supervised Learning of Semantic Correspondence Using Web Videos.
WACV
Donghyeon Kwon, Minsu Cho, Suha Kwak
2024 — conf
Towards More Practical Group Activity Detection: A New Benchmark and Model.
ECCV (47)
Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak
2024 J jnl
Unlocking learner engagement and performance: A multidimensional approach to mapping learners to learning cohorts.
Educ. Inf. Technol.
Hyomin Kim, Gyunam Park, Minsu Cho
2023 A* conf
Activity Grammars for Temporal Action Segmentation.
NeurIPS
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
2023 J jnl
Activity Grammars for Temporal Action Segmentation.
CoRR
Dayoung Gong, Joonseok Lee, Deunsol Jung, Suha Kwak, Minsu Cho
2023 J jnl
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell.
Juhong Min, Seungwook Kim, Minsu Cho
2023 A* conf
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation.
CVPR
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
2023 J jnl
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation.
CoRR
Deunsol Jung, Sanghyun Kim, Won Hwa Kim, Minsu Cho
2023 A* conf
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation.
CVPR
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2023 J jnl
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation.
CoRR
Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
2023 J jnl
Efficient Semantic Matching with Hypercolumn Correlation.
CoRR
Seungwook Kim, Juhong Min, Minsu Cho
2023 A* conf
Generalizable Implicit Neural Representations via Instance Pattern Composers.
CVPR
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
2023 J jnl
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions.
CoRR
Jungtaek Kim, Jeongbeen Yoon, Minsu Cho
2023 A* conf
Learning Rotation-Equivariant Features for Visual Correspondence.
CVPR
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
2023 J jnl
Learning Rotation-Equivariant Features for Visual Correspondence.
CoRR
Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
2023 A* conf
Locality-Aware Generalizable Implicit Neural Representation.
NeurIPS
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
2023 J jnl
Locality-Aware Generalizable Implicit Neural Representation.
CoRR
Doyup Lee, Chiheon Kim, Minsu Cho, Wook-Shin Han
2023 J jnl
Model Predictive Control of Autonomous Vehicles With Integrated Barriers Using Occupancy Grid Maps.
IEEE Robotics Autom. Lett.
Minsu Cho, YeongSeok Lee, Kyung-Soo Kim
2023 J jnl
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image.
CoRR
Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim, Minsu Cho, Doyup Lee
2023 J jnl
PriViT: Vision Transformers for Fast Private Inference.
CoRR
Naren Dhyani, Jianqiao Mo, Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2023 A* conf
Relational Context Learning for Human-Object Interaction Detection.
CVPR
Sanghyun Kim, Deunsol Jung, Minsu Cho
2023 J jnl
Relational Context Learning for Human-Object Interaction Detection.
CoRR
Sanghyun Kim, Deunsol Jung, Minsu Cho
2023 A* conf
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks.
CVPR
Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
2023 A* conf
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning.
ICML
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho
2023 J jnl
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning.
CoRR
Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho
2023 J jnl
Towards More Practical Group Activity Detection: A New Benchmark and Model.
CoRR
Dongkeun Kim, Youngkil Song, Minsu Cho, Suha Kwak
2022 A* conf
Autoregressive Image Generation using Residual Quantization.
CVPR
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022 J jnl
Autoregressive Image Generation using Residual Quantization.
CoRR
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022 A conf
Combinatorial Bayesian optimization with random mapping functions to convex polytopes.
UAI
Jungtaek Kim, Seungjin Choi, Minsu Cho
2022 — conf
Contrastive Regularization for Semi-Supervised Learning.
CVPR Workshops
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
2022 J jnl
Contrastive Regularization for Semi-Supervised Learning.
CoRR
Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
2022 A* conf
Detector-Free Weakly Supervised Group Activity Recognition.
CVPR
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
2022 J jnl
Detector-Free Weakly Supervised Group Activity Recognition.
CoRR
Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
2022 B conf
Development of ROS-based Small Unmanned Platform for Acquiring Autonomous Driving Dataset in Various Places and Weather Conditions.
COMPSAC
Ji-il Park, Minseong Choi, Seungho Han, YeongSeok Lee, Jinwoo Cho, Hyoseo Choi, Minsu Cho, Minyoung Lee, Kyung-Soo Kim
2022 A* conf
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer.
NeurIPS
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022 J jnl
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer.
CoRR
Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022 A* conf
Fast Point Transformer.
CVPR
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
2022 — conf
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval.
ACCV (5)
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
2022 J jnl
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval.
CoRR
Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
2022 A* conf
Future Transformer for Long-term Action Anticipation.
CVPR
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
2022 J jnl
Future Transformer for Long-term Action Anticipation.
CoRR
Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho
2022 A conf
GPU-Parallelized Iterative LQR with Input Constraints for Fast Collision Avoidance of Autonomous Vehicles.
IROS
YeongSeok Lee, Minsu Cho, Kyung-Soo Kim
2022 J jnl
Generalizable Implicit Neural Representations via Instance Pattern Composers.
CoRR
Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
2022 A* conf
Integrative Few-Shot Learning for Classification and Segmentation.
CVPR
Dahyun Kang, Minsu Cho
2022 J jnl
Integrative Few-Shot Learning for Classification and Segmentation.
CoRR
Dahyun Kang, Minsu Cho
2022 A* conf
Learning to Assemble Geometric Shapes.
IJCAI
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
2022 J jnl
Learning to Assemble Geometric Shapes.
CoRR
Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho
2022 J jnl
OncoDB: an interactive online database for analysis of gene expression and viral infection in cancer.
Nucleic Acids Res.
Gongyu Tang, Minsu Cho, Xiaowei Wang
2022 A* conf
PeRFception: Perception using Radiance Fields.
NeurIPS
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Anima Anandkumar, Minsu Cho, Jaesik Park
2022 J jnl
PeRFception: Perception using Radiance Fields.
CoRR
Yoonwoo Jeong, Seungjoo Shin, Junha Lee, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
2022 A* conf
Peripheral Vision Transformer.
NeurIPS
Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
2022 J jnl
Peripheral Vision Transformer.
CoRR
Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
2022 A* conf
Reflection and Rotation Symmetry Detection via Equivariant Learning.
CVPR
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
2022 J jnl
Reflection and Rotation Symmetry Detection via Equivariant Learning.
CoRR
Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
2022 J jnl
Revisiting Self-Distillation.
CoRR
Minh Pham, Minsu Cho, Ameya Joshi, Chinmay Hegde
2022 A* conf
Selective Network Linearization for Efficient Private Inference.
ICML
Minsu Cho, Ameya Joshi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2022 J jnl
Selective Network Linearization for Efficient Private Inference.
CoRR
Minsu Cho, Ameya Joshi, Siddharth Garg, Brandon Reagen, Chinmay Hegde
2022 A* conf
Self-Supervised Equivariant Learning for Oriented Keypoint Detection.
CVPR
Jongmin Lee, Byungjin Kim, Minsu Cho
2022 J jnl
Self-Supervised Equivariant Learning for Oriented Keypoint Detection.
CoRR
Jongmin Lee, Byungjin Kim, Minsu Cho
2022 J jnl
Self-Supervised Learning of Image Scale and Orientation.
CoRR
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
2022 A* conf
Self-Taught Metric Learning without Labels.
CVPR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2022 J jnl
Self-Taught Metric Learning without Labels.
CoRR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2022 A conf
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation.
WACV
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
2022 J jnl
Sequential Brick Assembly with Efficient Constraint Satisfaction.
CoRR
Seokjun Ahn, Jungtaek Kim, Minsu Cho, Jaesik Park
2022 J jnl
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness.
CoRR
Ameya Joshi, Minh Pham, Minsu Cho, Leonid Boytsov, Filipe Condessa, J. Zico Kolter, Chinmay Hegde
2022 J jnl
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks.
CoRR
Hyolim Kang, Hanjung Kim, Joungbin An, Minsu Cho, Seon Joo Kim
2022 J jnl
Sphynx: A Deep Neural Network Design for Private Inference.
IEEE Secur. Priv.
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2022 — conf
Towards Sequence-Level Training for Visual Tracking.
ECCV (22)
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
2022 J jnl
Towards Sequence-Level Training for Visual Tracking.
CoRR
Minji Kim, Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho
2022 A* conf
TransforMatcher: Match-to-Match Attention for Semantic Correspondence.
CVPR
Seungwook Kim, Juhong Min, Minsu Cho
2022 J jnl
TransforMatcher: Match-to-Match Attention for Semantic Correspondence.
CoRR
Seungwook Kim, Juhong Min, Minsu Cho
2021 A* conf
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning.
NeurIPS
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021 J jnl
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning.
CoRR
Hyunsoo Chung, Jungtaek Kim, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho
2021 J jnl
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence.
CoRR
Juhong Min, Seungwook Kim, Minsu Cho
2021 A* conf
Convolutional Hough Matching Networks.
CVPR
Juhong Min, Minsu Cho
2021 J jnl
Convolutional Hough Matching Networks.
CoRR
Juhong Min, Minsu Cho
2021 A* conf
Deep Hough Voting for Robust Global Registration.
ICCV
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
2021 J jnl
Deep Hough Voting for Robust Global Registration.
CoRR
Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
2021 A* conf
Differentiable Spline Approximations.
NeurIPS
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021 J jnl
Differentiable Spline Approximations.
CoRR
Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde
2021 A* conf
Embedding Transfer With Label Relaxation for Improved Metric Learning.
CVPR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2021 J jnl
Embedding Transfer with Label Relaxation for Improved Metric Learning.
CoRR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2021 J jnl
Fast Point Transformer.
CoRR
Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
2021 A* conf
Hypercorrelation Squeeze for Few-Shot Segmenation.
ICCV
Juhong Min, Dahyun Kang, Minsu Cho
2021 J jnl
Hypercorrelation Squeeze for Few-Shot Segmentation.
CoRR
Juhong Min, Dahyun Kang, Minsu Cho
2021 — conf
IntegralAction: Pose-Driven Feature Integration for Robust Human Action Recognition in Videos.
CVPR Workshops
Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho
2021 J jnl
Learning Self-Similarity in Space and Time as Generalized Motion for Action Recognition.
CoRR
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
2021 A* conf
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition.
ICCV
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
2021 A* conf
Learning to Discover Reflection Symmetry via Polar Matching Convolution.
ICCV
Ahyun Seo, Woohyeon Shim, Minsu Cho
2021 J jnl
Learning to Discover Reflection Symmetry via Polar Matching Convolution.
CoRR
Ahyun Seo, Woohyeon Shim, Minsu Cho
2021 A conf
Learning to Distill Convolutional Features into Compact Local Descriptors.
WACV
Jongmin Lee, Yoonwoo Jeong, Seungwook Kim, Juhong Min, Minsu Cho
2021 A* conf
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training.
NeurIPS
Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
2021 J jnl
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training.
CoRR
Minguk Kang, Woohyeon Shim, Minsu Cho, Jaesik Park
2021 A* conf
Relational Embedding for Few-Shot Classification.
ICCV
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
2021 J jnl
Relational Embedding for Few-Shot Classification.
CoRR
Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
2021 A* conf
Relational Self-Attention: What's Missing in Attention for Video Understanding.
NeurIPS
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
2021 J jnl
Relational Self-Attention: What's Missing in Attention for Video Understanding.
CoRR
Manjin Kim, Heeseung Kwon, Chunyu Wang, Suha Kwak, Minsu Cho
2021 A* conf
Self-Calibrating Neural Radiance Fields.
ICCV
Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
2021 J jnl
Self-Calibrating Neural Radiance Fields.
CoRR
Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
2021 A conf
Self-Supervised Learning of Image Scale and Orientation.
BMVC
Jongmin Lee, Yoonwoo Jeong, Minsu Cho
2021 J jnl
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation.
CoRR
Jeongbeen Yoon, Dahyun Kang, Minsu Cho
2021 J jnl
Sphynx: ReLU-Efficient Network Design for Private Inference.
CoRR
Minsu Cho, Zahra Ghodsi, Brandon Reagen, Siddharth Garg, Chinmay Hegde
2020 A* conf
CircleGAN: Generative Adversarial Learning across Spherical Circles.
NeurIPS
Woohyeon Shim, Minsu Cho
2020 J jnl
CircleGAN: Generative Adversarial Learning across Spherical Circles.
CoRR
Woohyeon Shim, Minsu Cho
2020 J jnl
Combinatorial 3D Shape Generation via Sequential Assembly.
CoRR
Jungtaek Kim, Hyunsoo Chung, Minsu Cho, Jaesik Park
2020 J jnl
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytope.
CoRR
Jungtaek Kim, Minsu Cho, Seungjin Choi
2020 — conf
Deriving a Sophisticated Clinical Pathway Based on Patient Conditions from Electronic Health Record Data.
ICPM Workshops
Jungeun Lim, Kidong Kim, Minsu Cho, Hyunyoung Baek, Seok Kim, Hee Hwang, Sooyoung Yoo, Minseok Song
2020 J jnl
Developing data-driven clinical pathways using electronic health records: The cases of total laparoscopic hysterectomy and rotator cuff tears.
Int. J. Medical Informatics
Minsu Cho, Kidong Kim, Jungeun Lim, Hyunyoung Baek, Seok Kim, Hee Hwang, Minseok Song, Sooyoung Yoo
2020 — conf
Diversified Mutual Learning for Deep Metric Learning.
ECCV Workshops (1)
Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho
2020 J jnl
Diversified Mutual Learning for Deep Metric Learning.
CoRR
Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho
2020 J jnl
ESPN: Extremely Sparse Pruned Networks.
CoRR
Minsu Cho, Ameya Joshi, Chinmay Hegde
2020 J jnl
Freeze Discriminator: A Simple Baseline for Fine-tuning GANs.
CoRR
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2020 J jnl
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery.
CoRR
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
2020 J jnl
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos.
CoRR
Gyeongsik Moon, Heeseung Kwon, Kyoung Mu Lee, Minsu Cho
2020 A* conf
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models.
AAAI
Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde
2020 — conf
Learning to Compose Hypercolumns for Visual Correspondence.
ECCV (15)
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
2020 J jnl
Learning to Compose Hypercolumns for Visual Correspondence.
CoRR
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
2020 A* conf
Local-Global Video-Text Interactions for Temporal Grounding.
CVPR
Jonghwan Mun, Minsu Cho, Bohyung Han
2020 J jnl
Local-Global Video-Text Interactions for Temporal Grounding.
CoRR
Jonghwan Mun, Minsu Cho, Bohyung Han
2020 — conf
MotionSqueeze: Neural Motion Feature Learning for Video Understanding.
ECCV (16)
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
2020 J jnl
MotionSqueeze: Neural Motion Feature Learning for Video Understanding.
CoRR
Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
2020 A* conf
Proxy Anchor Loss for Deep Metric Learning.
CVPR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2020 J jnl
Proxy Anchor Loss for Deep Metric Learning.
CoRR
SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
2020 A* conf
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning.
AAAI
Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
2019 J jnl
An Evidence-Based Decision Support Framework for Clinician Medical Scheduling.
IEEE Access
Minsu Cho, Minseok Song, Sooyoung Yoo, Hajo A. Reijers
2019 A* conf
Deep Metric Learning Beyond Binary Supervision.
CVPR
SungYeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
2019 J jnl
Deep Metric Learning Beyond Binary Supervision.
CoRR
SungYeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
2019 — conf
Developing Process Performance Indicators for Emergency Room Processes.
Business Process Management Workshops
Minsu Cho, Minseok Song, Seok-Ran Yeom, Il-Jae Wang, Byung-Kwan Choi
2019 J jnl
Editorial.
Pattern Recognit. Lett.
Junchi Yan, Minsu Cho, Francesc Serratosa, Gui-Song Xia, Yinqiang Zheng
2019 A* conf
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features.
ICCV
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
2019 J jnl
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features.
CoRR
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
2019 — conf
InstaGAN: Instance-aware Image-to-Image Translation.
ICLR (Poster)
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2019 A* conf
Mining GOLD Samples for Conditional GANs.
NeurIPS
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 J jnl
Mining GOLD Samples for Conditional GANs.
CoRR
Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
2019 J jnl
One-Shot Neural Architecture Search via Compressive Sensing.
CoRR
Minsu Cho, Mohammadreza Soltani, Chinmay Hegde
2019 J jnl
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning.
CoRR
Ilchae Jung, Kihyun You, Hyeonwoo Noh, Minsu Cho, Bohyung Han
2019 J jnl
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity.
CoRR
Minsu Cho, Chinmay Hegde
2019 Misc conf
Reducing the Search Space for Hyperparameter Optimization Using Group Sparsity.
ICASSP
Minsu Cho, Chinmay Hegde
2019 C conf
Regularizing Neural Networks via Stochastic Branch Layers.
ACML
Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho
2019 J jnl
Regularizing Neural Networks via Stochastic Branch Layers.
CoRR
Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho
2019 A* conf
Relational Knowledge Distillation.
CVPR
Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
2019 J jnl
Relational Knowledge Distillation.
CoRR
Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
2019 J jnl
SPair-71k: A Large-scale Benchmark for Semantic Correspondence.
CoRR
Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
2019 — conf
Temporal U-Nets for Video Summarization with Scene and Action Recognition.
ICCV Workshops
Heeseung Kwon, Woohyun Shim, Minsu Cho
2019 J jnl
Universal Bounding Box Regression and Its Applications.
CoRR
Seungkwan Lee, Suha Kwak, Minsu Cho
2019 A* conf
Unsupervised Image Matching and Object Discovery as Optimization.
CVPR
Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2019 J jnl
Unsupervised Image Matching and Object Discovery as Optimization.
CoRR
Huy V. Vo, Francis R. Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Pérez, Jean Ponce
2018 — conf
Attentive Semantic Alignment with Offset-Aware Correlation Kernels.
ECCV (4)
Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho
2018 J jnl
Attentive Semantic Alignment with Offset-Aware Correlation Kernels.
CoRR
Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho
2018 J jnl
First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling.
Pattern Recognit. Lett.
Heeseung Kwon, Yeonho Kim, Jin S. Lee, Minsu Cho
2018 — conf
Forget and Diversify: Regularized Refinement for Weakly Supervised Object Detection.
ACCV (4)
Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han
2018 J jnl
InstaGAN: Instance-aware Image-to-Image Translation.
CoRR
Sangwoo Mo, Minsu Cho, Jinwoo Shin
2018 J jnl
Proposal Flow: Semantic Correspondences from Object Proposals.
IEEE Trans. Pattern Anal. Mach. Intell.
Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
2018 J jnl
Robust Guided Image Filtering Using Nonconvex Potentials.
IEEE Trans. Pattern Anal. Mach. Intell.
Bumsub Ham, Minsu Cho, Jean Ponce
2018 — conf
Universal Bounding Box Regression and Its Applications.
ACCV (6)
Seungkwan Lee, Suha Kwak, Minsu Cho
2018 — conf
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion.
CoVieW@MM
Heeseung Kwon, Suha Kwak, Minsu Cho
2017 — conf
A New Framework for Defining Realistic SLAs: An Evidence-Based Approach.
BPM (Forum)
Minsu Cho, Minseok Song, Carlos Müller, Pablo Fernandez, Adela del-Río-Ortega, Manuel Resinas, Antonio Ruiz Cortés
2017 J jnl
Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining techniques.
Decis. Support Syst.
Minsu Cho, Minseok Song, Marco Comuzzi, Sooyoung Yoo
2017 A* conf
Multi-object Tracking with Quadruplet Convolutional Neural Networks.
CVPR
Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han
2017 J jnl
Proposal Flow: Semantic Correspondences from Object Proposals.
CoRR
Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
2017 A* conf
SCNet: Learning Semantic Correspondence.
ICCV
Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
2017 J jnl
SCNet: Learning Semantic Correspondence.
CoRR
Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
2017 A* conf
Text-Guided Attention Model for Image Captioning.
AAAI
Jonghwan Mun, Minsu Cho, Bohyung Han
2016 J jnl
Assessment of hospital processes using a process mining technique: Outpatient process analysis at a tertiary hospital.
Int. J. Medical Informatics
Sooyoung Yoo, Minsu Cho, Eunhye Kim, Seok Kim, Yerim Sim, Dong Hyun Yoo, Hee Hwang, Minseok Song
2016 — conf
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization.
ECCV (5)
Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev
2016 J jnl
ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization.
CoRR
Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev
2016 J jnl
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization.
IEEE Trans. Pattern Anal. Mach. Intell.
Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2016 A* conf
Proposal Flow.
CVPR
Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
2016 J jnl
Text-guided Attention Model for Image Captioning.
CoRR
Jonghwan Mun, Minsu Cho, Bohyung Han
2016 A* conf
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation.
CVPR
Suha Kwak, Minsu Cho, Ivan Laptev
2015 J jnl
A General Multi-Graph Matching Approach via Graduated Consistency-regularized Boosting.
CoRR
Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen M. Chu
2015 J jnl
Feature description using local neighborhoods.
Pattern Recognit. Lett.
Man Hee Lee, Minsu Cho, In Kyu Park
2015 J jnl
Proposal Flow.
CoRR
Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
2015 A* conf
Robust image filtering using joint static and dynamic guidance.
CVPR
Bumsub Ham, Minsu Cho, Jean Ponce
2015 J jnl
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals.
CoRR
Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce
2015 A* conf
Unsupervised Object Discovery and Tracking in Video Collections.
ICCV
Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
2015 J jnl
Unsupervised Object Discovery and Tracking in Video Collections.
CoRR
Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
2015 — conf
Unsupervised object discovery and localization in images and videos.
URAI
Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce
2015 A* conf
Unsupervised object discovery and localization in the wild: Part-based matching with bottom-up region proposals.
CVPR
Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce
2014 — conf
A Systematic Methodology for Outpatient Process Analysis Based on Process Mining.
AP-BPM
Minsu Cho, Minseok Song, Sooyoung Yoo
2014 — conf
A system architecture for manufacturing process analysis based on big data and process mining techniques.
IEEE BigData
Hanna Yang, Minjeong Park, Minsu Cho, Minseok Song, Seongjoo Kim
2014 A* conf
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers.
CVPR
Minsu Cho, Jian Sun, Olivier Duchenne, Jean Ponce
2013 — ch.
Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications.
Advanced Topics in Computer Vision
Minsu Cho, Young Min Shin, Kyoung Mu Lee
2013 A* conf
Learning Graphs to Match.
ICCV
Minsu Cho, Karteek Alahari, Jean Ponce
2013 J jnl
Multi-object reconstruction from dynamic scenes: An object-centered approach.
Comput. Vis. Image Underst.
Young Min Shin, Minsu Cho, Kyoung Mu Lee
2012 — conf
Graph Matching via Sequential Monte Carlo.
ECCV (3)
Yumin Suh, Minsu Cho, Kyoung Mu Lee
2012 A* conf
Mode-seeking on graphs via random walks.
CVPR
Minsu Cho, Kyoung Mu Lee
2012 A* conf
Progressive graph matching: Making a move of graphs via probabilistic voting.
CVPR
Minsu Cho, Kyoung Mu Lee
2011 A* conf
Hyper-graph matching via reweighted random walks.
CVPR
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
2011 — conf
Mood Classfication from Musical Audio Using User Group-Dependent Models.
ICMLA (2)
Kyogu Lee, Minsu Cho
2010 B conf
A Graph Matching Algorithm Using Data-Driven Markov Chain Monte Carlo Sampling.
ICPR
Jungmin Lee, Minsu Cho, Kyoung Mu Lee
2010 A* conf
Authority-shift clustering: Hierarchical clustering by authority seeking on graphs.
CVPR
Minsu Cho, Kyoung Mu Lee
2010 B conf
Co-recognition of Actions in Video Pairs.
ICPR
Young Min Shin, Minsu Cho, Kyoung Mu Lee
2010 — conf
Reweighted Random Walks for Graph Matching.
ECCV (5)
Minsu Cho, Jungmin Lee, Kyoung Mu Lee
2010 A* conf
Unsupervised detection and segmentation of identical objects.
CVPR
Minsu Cho, Young Min Shin, Kyoung Mu Lee
2009 A conf
Bilateral Symmetry Detection via Symmetry-Growing.
BMVC
Minsu Cho, Kyoung Mu Lee
2009 A* conf
Feature correspondence and deformable object matching via agglomerative correspondence clustering.
ICCV
Minsu Cho, Jungmin Lee, Kyoung Mu Lee
2008 — conf
Co-recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration.
ECCV (4)
Minsu Cho, Young Min Shin, Kyoung Mu Lee
2007 A* conf
Partially Occluded Object-Specific Segmentation in View-Based Recognition.
CVPR
Minsu Cho, Kyoung Mu Lee