MINSU CHO's ALL PUBLICATIONS

2023

Seungwook Kim*, Chunghyun Park*, Yoonwoo Jeong, Jaesik Park, Minsu Cho
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning
International Conference on Machine Learning (ICML), 2023, Honolulu, Hawaii.

Jongmin Lee, Byungjin Kim, Seungwook Kim, Minsu Cho
Learning Rotation-Equivariant Features for Visual Correspondence
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

Dahyun Kang, Piotr Koniusz, Minsu Cho, Naila Murray
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

Deunsol Jung, Sanghyun Kim, Wonhwa Kim, Minsu Cho
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

Sanghyun Kim, Deunsol Jung, Minsu Cho
Relational Context Learning for Human-Object Interaction Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

Chiheon Kim, Doyup Lee, Saehoon Kim, Minsu Cho, Wook-Shin Han
Generalizable Implicit Neural Representations with Instance Pattern Composers
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Vancouver, Canada.

Juhong Min, Seungwook Kim, Minsu Cho
Convolutional Hough Matching Networks for Robust and Efficient Visual Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023, accepted.
[IEEE Xplore] [project page]

2022

Na-Yeon Shin, Yoo-Geun Ham, Jeong-Hwan Kim, Minsu Cho, Jong-Seong Kug
Applications of deep learning to understanding ENSO dynamics
Artificial Intelligence for the Earth Systems, 2022.
[pdf]

Deunsol Jung, Dahyun Kang, Suha Kwak, Minsu Cho
Few-Shot Metric Learning: Online Adaptation of Embedding for Retrieval
The Asian Conference on Computer Vision (ACCV), 2022, Macau SAR, China.
[pdf]

Seungwook Kim, Yoonwoo Jeong, Chunghyun Park, Jaesik Park, Minsu Cho
SeLCA: Self-Supervised Learning of Canonical Axis
Annual Conference on Neural Information Processing Systems (NeurIPS) NeurReps Workshop, 2022, New Orleans.

Yoonwoo Jeong*, Seungjoo Shin*, Junha Lee*, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
PeRFception: Perception using Radiance Fields
Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2022, New Orleans.
[pdf]

Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
Peripheral Vision Transformer
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022, New Orleans.
[pdf]

Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022, New Orleans.
[pdf]

*Minji Kim, *Seungkwan Lee, Jungseul Ok, Bohyung Han, Minsu Cho (*equal contribution)
Towards Sequence-Level Training for Visual Tracking   
European Conference on Computer Vision (ECCV), 2022, Tel Aviv, Israel.
[pdf]

Jungtaek Kim, Minsu Cho, Seungjin Choi
Combinatorial Bayesian Optimization with Random Mapping Functions to Convex Polytopes   
Conference on Uncertainty in Artificial Intelligence (UAI), 2022, Eindhoven, Netherlands.
[pdf]

Jinhwi Lee*, Jungtaek Kim*, Hyunsoo Chung, Jaesik Park, Minsu Cho (*equal contribution)
Learning to Assemble Geometric Shapes   
International Joint Conference on Artificial Intelligence (IJCAI), 2022, Vienna, Austria.
[pdf]

Seongju Kim, Minsu Cho, Sungjune Jung
The Design of an Inkjet Drive Waveform Using Machine Learning
Scientific Reports, 2022.
[pdf]

Doyup Lee, Sungwoong Kim, Ildoo Kim, Yeongjae Cheon, Minsu Cho, Wook-Shin Han
Contrastive Regularization for Semi-Supervised Learning
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU), 2022, New Orleans.
[pdf]

Jongmin Lee, Byungjin Kim, Minsu Cho
Self-Supervised Equivariant Learning for Oriented Keypoint Detection
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han
Autoregressive Image Generation using Residual Quantization
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Seungwook Kim, Juhong Min, Minsu Cho
TransforMatcher: Match-to-Match Attention for Semantic Correspondence
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho
Reflection and Rotation Symmetry Detection via Equivariant Learning
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Dayoung Gong, Joonseok Lee, Manjin Kim, Seongjong Ha, Minsu Cho
Future Transformer for Long-term Action Anticipation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Self-Taught Metric Learning without Labels
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park
Fast Point Transformer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Dahyun Kang, Minsu Cho
Integrative Few-Shot Learning for Classification and Segmentation
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak
Detector-Free Weakly Supervised Group Activity Recognition
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, New Orleans.
[pdf]

Jeongbeen Yoon, Dahyun Kang, Minsu Cho
Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation
IEEE Winter Conference on Applications of Computer Vision (WACV), 2022, Waikoloa, HI.
[pdf]

2021

Manjin Kim*, Heeseung Kwon*, Chunyu Wang, Suha Kwak, Minsu Cho (*equal contribution)
Relational Self-Attention: What's Missing in Attention for Video Understanding
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021, Online.
[pdf]

Hyunsoo Chung*, Jungtaek Kim*, Boris Knyazev, Jinhwi Lee, Graham W. Taylor, Jaesik Park, Minsu Cho (*equal contribution)
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021, Online.
[pdf]

Minguk Kang, Woohyeon Joseph Shim, Minsu Cho, Jaesik Park
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training
Annual Conference on Neural Information Processing Systems (NeurIPS), 2021, Online.
[pdf]

Heeseung Kwon*, Manjin Kim*, Suha Kwak, Minsu Cho
Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition
International Conference on Computer Vision (ICCV), 2021, Online.
[pdf] [project page]

Juhong Min, Dahyun Kang, Minsu Cho
Hypercorrelation Squeeze for Few-Shot Segmentation
International Conference on Computer Vision (ICCV), 2021, Online.
[pdf] [project page]

Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho
Relational Embedding for Few-Shot Classification
International Conference on Computer Vision (ICCV), 2021, Online.
[pdf] [project page]

Ahyun Seo*, Woohyeon Shim*, Minsu Cho
Learning to Discover Reflection Symmetry via Polar Matching Convolution
International Conference on Computer Vision (ICCV), 2021, Online.
[pdf] [project page]

Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park
Deep Hough Voting for Robust Global Registration
International Conference on Computer Vision (ICCV), 2021, Online.
[pdf] [project page]

Yoonwoo Jeong, Seokjun Ahn, Christopher Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park
Self-Calibrating Neural Radiance Fields
International Conference on Computer Vision (ICCV), 2021, Online.

Gyeongsik Moon*, Heeseung Kwon*, Kyoung Mu Lee, Minsu Cho
IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos
CVPR Workshop on Large Scale Holistic Video Understanding, 2021, Online.
[pdf]

Juhong Min, Minsu Cho
Convolutional Hough Matching Networks
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. (oral presentation)
[pdf] [project page]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Embedding Transfer with Label Relaxation for Improved Metric Learning
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, Online.
[pdf]

2020

Woohyeon Shim, Minsu Cho
CircleGAN: Generative Adversarial Learning across Spherical Circles
Annual Conference on Neural Information Processing Systems (NeurIPS), 2020, Online.
[pdf]

Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
Learning to Compose Hypercolumns for Visual Correspondence   
European Conference on Computer Vision (ECCV), 2020, Glasgow, UK.
[pdf]

Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho
MotionSqueeze: Neural Motion Feature Learning for Video Understanding   
European Conference on Computer Vision (ECCV), 2020, Glasgow, UK.
[pdf]

Sungyeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak
Proxy Anchor Loss for Deep Metric Learning   
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA, USA.
[pdf]

Jonghwan Mun, Minsu Cho, Bohyung Han
Local-Global Video-Text Interactions for Temporal Grounding   
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, WA, USA.
[pdf]

Sangwoo Mo, Minsu Cho, Jinwoo Shin
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs   
CVPR AI for Content Creation Workshop (CVPRW), 2020, Seattle, WA, USA.
[pdf]

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 Conference on Artificial Intelligence (AAAI), 2020, Hilton New York Midtown, NY, USA.
[pdf]

2019

Sangwoo Mo, Chiheon Kim, Sungwoong Kim, Minsu Cho, Jinwoo Shin
Mining GOLD Samples for Conditional GANs   
Annual Conference on Neural Information Processing Systems (NeurIPS), 2019, Vancouver, Canada.
[pdf]

Wonpyo Park*, Paul Hongsuck Seo*, Bohyung Han, Minsu Cho (*equal contribution)
Regularizing Neural Networks via Stochastic Branch Layers   
Asian Conference on Machine Learning (ACML), 2019, Nagoya, Japan. (oral presentation)
[pdf]

Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
SPair-71k: A Large-scale Benchmark for Semantic Correspondence   
Arxiv, 2019 (Extended from the dataset section of our ICCV 2019 paper below).
[pdf] [project page]

Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho
Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features    
International Conference on Computer Vision (ICCV), 2019, Seoul, Korea.
[pdf] [project page]

Wonpyo Park, Dongju Kim, Yan Lu, Minsu Cho
Relational Knowledge Distillation   
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA.
[pdf] [project page]

Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick PĂ©rez, Jean Ponce
Unsupervised Image Matching and Object Discovery as Optimization   
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA.
[pdf]

Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
Deep Metric Learning Beyond Binary Supervision   
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Long Beach, CA (oral).
[pdf]

Sangwoo Mo, Minsu Cho, Jinwoo Shin
InstaGAN: Instance-aware Image-to-Image Translation   
International Conference on Learning Representations (ICLR), 2019, New Orleans, Louisiana.
[pdf] [media featuring: Gizmodo, Syncedreview , VentureBeat, Packt, LyrnAI, The Visionary]

2018

Jeany Son, Daniel Kim, Solae Lee, Suha Kwak, Minsu Cho, Bohyung Han
Forget & Diversify: Regularized Refinement for Weakly Supervised Object Detection
The Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia. (oral)
[pdf]

Seungkwan Lee, Suha Kwak, Minsu Cho
Universal Bounding Box Regression and Its Applications
The Asian Conference on Computer Vision (ACCV), 2018, Perth, Australia.
[pdf]

Heeseung Kwon, Suha Kwak, Minsu Cho
Video Understanding via Convolutional Temporal Pooling Network and Multimodal Feature Fusion
ACM Multimedia Workshop on Comprehensive Video Understanding in the Wild (ACMMM), 2018, Seoul, Korea. (challenge winner)
[pdf]

Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho
Attentive Semantic Alignment with Offset-Aware Correlation Kernels
The European Conference on Computer Vision (ECCV), 2018, Munich, Germany.
[Arxiv version] [project page]

Heeseung Kwon, Yeonho Kim, Jin S. Lee, Minsu Cho
First Person Action Recognition via Two-stream ConvNet with Long-term Fusion Pooling
Pattern Recognition Letters (PRL), Sep 2018.
[link]

2017

Kai Han, Rafael S. Rezende, Bumsub Ham, Kwan-Yee K. Wong, Minsu Cho, Cordelia Schmid, Jean Ponce
SCNet: Learning Semantic Correspondence
The IEEE International Conference on Computer Vision (ICCV), 2017, Venice, Italy.
[Arxiv version] [project page]

Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
Proposal Flow: Semantic Correspondences from Object Proposals
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
[Arxiv version] [project page]

Jeany Son, Mooyeol Baek, Minsu Cho, Bohyung Han
Multi-Object Tracking with Quadruplet Convolutional Neural Networks
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, HI, US.
To appear

Bumsub Ham, Minsu Cho, Jean Ponce
Robust Guided Image Filtering Using Nonconvex Potentials
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Feb 2017.
[link]

Jonghwan Mun, Minsu Cho, Bohyung Han
Text-Guided Attention Model for Image Captioning
AAAI Conference on Artificial Intelligence (AAAI), 2017, San Francisco, CA, US.
[pdf]

2016

Vadim Kantorov, Maxime Oquab, Minsu Cho, Ivan Laptev
ContextLocNet: Context-aware Deep Network Models for Weakly Supervised Localization
The European Conference on Computer Vision (ECCV), 2016, Amsterdam, Netherlands.
[pdf] [project page]

Suha Kwak, Minsu Cho, Ivan Laptev
Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Las Vegas, Nevada.
[pdf] [project page]

Bumsub Ham, Minsu Cho, Cordelia Schmid, Jean Ponce
Proposal Flow
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Las Vegas, Nevada.
[pdf] [project page]

2015

Minsu Cho, Suha Kwak, Ivan Laptev, Cordelia Schmid, Jean Ponce
Unsupervised object discovery and localization in images and videos
The 12th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2015, Goyang, Korea.
[link] [project page]

Suha Kwak, Minsu Cho, Ivan Laptev, Jean Ponce, Cordelia Schmid
Unsupervised Object Discovery and Tracking in Video Collections
the International Conference on Computer Vision (ICCV), 2015, Santiago, Chile.
[pdf] [project page]

Junchi Yan, Minsu Cho, Hongyuan Zha, Xiaokang Yang, Stephen Chu
Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Sept 2015.
[link]

Man Hee Lee, Minsu Cho, In Kyu Park
Feature Description using Local Neighborhoods
Pattern Recognition Letters (PRL), Vol. 68, no. 1, pp. 76-82, 2015.
[link]

Minsu Cho, Suha Kwak, Cordelia Schmid, Jean Ponce
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, Boston, MA (oral).
[pdf] [project page]

Bumsub Ham, Minsu Cho, Jean Ponce
Image Regularization using Joint Static and Dynamic Guidance
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015, Boston, MA.
[pdf] [project page]


2014

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
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, Columbus, Ohio.
[pdf] [project page]


2013

Minsu Cho, Karteek Alahari, Jean Ponce
Learning Graphs to Match
The IEEE International Conference on Computer Vision (ICCV), 2013, Sydney, Australia (oral).
[pdf] [project page]

Youngmin Shin, Minsu Cho, Kyoung Mu Lee
Multi-Object Reconstruction from Dynamic Scenes: An Object-Centered Approach
Computer Vision and Image Understanding (CVIU), July 2013.
[link]

Minsu Cho, Young Min Shin, Kyoung Mu Lee
Co-recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and Its Applications
Book Chapter in Advanced Topics in Computer Vision, Springer, June 2013.
[link]


2012

Yumin Suh, Minsu Cho, Kyoung Mu Lee
Graph Matching via Sequential Monte Carlo
The European Conference on Computer Vision (ECCV), 2012, Firenze, Italy.
[pdf] [project page]

Minsu Cho, Kyoung Mu Lee
Progressive Graph Matching: Making a Move of Graphs via Probabilistic Voting
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, Providence, RI (oral).
[pdf] [project page]

Minsu Cho, Kyoung Mu Lee
Mode-Seeking on Graphs via Random Walks
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012, Providence, RI.
[pdf] [project page]


2011

Minsu Cho, Young Min Shin, Kyoung Mu Lee
Object Correspondence Networks for Unsupervised Recognition of Identical Objects
Book Chapter in Emerging Topics in Computer Vision and its Applications, World Scientific Publishing, September 2011.
[link]

Jungmin Lee, Minsu Cho, Kyoung Mu Lee
Hyper-graph Matching via Reweighted Random Walks
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011, Colorado Springs, CO.
[pdf] [project page]


2010

Minsu Cho, Jungmin Lee, Kyoung Mu Lee
Reweighted Random Walks for Graph Matching
The European Conference on Computer Vision (ECCV), 2010, Crete, Greece.
[pdf] [project page]

Minsu Cho, Kyoung Mu Lee
Authority-Shift Clustering: Hierarchical Clustering by Authority Seeking on Graphs
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, San Francisco, CA.
[pdf] [project page]

Minsu Cho, Young Min Shin, Kyoung Mu Lee
Unsupervised Detection and Segmentation of Identical Objects
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010, San Francisco, CA (oral).
[pdf] [project page]

Jungmin Lee, Minsu Cho, Kyoung Mu Lee
A Graph Matching Algorithm using Data-Driven Markov Chain Monte Carlo Sampling
The International Conference on Pattern Recognition (ICPR), 2010, Istanbul, Turkey (oral).
[pdf]

Young Min Shin, Minsu Cho, Kyoung Mu Lee
Co-Recognition of Actions in Video Pairs
The International Conference on Pattern Recognition (ICPR), 2010, Istanbul, Turkey.
[pdf]


2009

Minsu Cho, Jungmin Lee, Kyoung Mu Lee
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
The IEEE International Conference on Computer Vision (ICCV), 2009, Kyoto, Japan.
[pdf] [project page]

Minsu Cho, Kyoung Mu Lee
Bilateral Symmetry Detection and Segmentation via Symmetry-Growing
The 20th British Machine Vision Conference (BMVC), 2009, London, United Kingdom (oral).
[pdf]


2008

Minsu Cho, Young Min Shin, Kyoung Mu Lee
Co-Recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration
The European Conference on Computer Vision (ECCV), 2008, Marseille, France.
[pdf] [project page]


2007

Minsu Cho, Kyoung Mu Lee
Partially Occluded Object-Specific Segmentation in View-Based Recognition
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007, Minneapolis, Minnesota.
[pdf] [project page]