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2020 – today
- 2021
[i34]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)- 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) - [c51]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 - [c50]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 - [c49]Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak:
Proxy Anchor Loss for Deep Metric Learning. CVPR 2020: 3235-3244 - [c48]Jonghwan Mun, Minsu Cho, Bohyung Han:
Local-Global Video-Text Interactions for Temporal Grounding. CVPR 2020: 10807-10816 - [c47]Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho:
MotionSqueeze: Neural Motion Feature Learning for Video Understanding. ECCV (16) 2020: 345-362 - [c46]Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho:
Learning to Compose Hypercolumns for Visual Correspondence. ECCV (15) 2020: 346-363 - [c45]Wonpyo Park, Wonjae Kim, Kihyun You, Minsu Cho:
Diversified Mutual Learning for Deep Metric Learning. ECCV Workshops (1) 2020: 709-725 - [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. 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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