← Authors

Minsu Cho

89 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (13) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (112) 🏠 Conference Loyalist (37) πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (19) πŸ† Keyword Champion (5) πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (15) ⚑ Prolific Year (13) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (371) πŸ“ˆ Trend Setter πŸ’Ž Century Club (89) πŸ”₯ Unstoppable (14)

Conferences

CVPR (37) ICCV (14) NIPS (13) ECCV (9) WACV (6) ICML (3) AAAI (2) ICLR (2) ACML (1) IJCAI (1) UAI (1)

Top co-authors

Suha Kwak (19) Juhong Min (12) Seungwook Kim (10) Jean Ponce (10) Jaesik Park (10) Dahyun Kang (8) Jongmin Lee (7) Chiheon Kim (6) Manjin Kim (6) Cordelia Schmid (6)

Keywords

convolutional neural network (9) representation learning (9) video understanding (9) semantic correspondence (7) metric learning (6) self-supervised learning (6) image generation (6) attention mechanism (6) semantic segmentation (5) image matching (5) image classification (5) object detection (4) visual correspondence (4) unsupervised learning (4) embedding learning (4) contrastive learning (4) action recognition (4) few-shot learning (4) vision transformer (4) neural network (4)

Papers

RapidMV: Leveraging Spatio-Angular Latent Space for Efficient and Consistent Text-to-Multi-View Synthesis WACV 2026
Locality-Aware Zero-Shot Human-Object Interaction Detection CVPR 2025
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation CVPR 2025
Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection CVPR 2025
Combinative Matching for Geometric Shape Assembly ICCV 2025
Video Summarization with Large Language Models CVPR 2025
Axis-level Symmetry Detection with Group-Equivariant Representation ICCV 2025
Generic Event Boundary Detection via Denoising Diffusion ICCV 2025
Few-Shot Pattern Detection via Template Matching and Regression ICCV 2025
Self-Supervised Learning of Semantic Correspondence Using Web Videos WACV 2024
ActFusion: a Unified Diffusion Model for Action Segmentation and Anticipation NIPS 2024
Learning Correlation Structures for Vision Transformers CVPR 2024
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering CVPR 2024
Enhancing 3D Fidelity of Text-to-3D using Cross-View Correspondences CVPR 2024
3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction NIPS 2024
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions ICLR 2024
Towards More Practical Group Activity Detection: A New Benchmark and Model ECCV 2024
In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation ECCV 2024
Classification Matters: Improving Video Action Detection with Class-Specific Attention ECCV 2024
Online Temporal Action Localization with Memory-Augmented Transformer ECCV 2024
Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform CVPR 2024
Optical Flow Domain Adaptation via Target Style Transfer WACV 2024
3D Geometric Shape Assembly via Efficient Point Cloud Matching ICML 2024
Efficient Semantic Matching With Hypercolumn Correlation WACV 2024
Contrastive Mean-Shift Learning for Generalized Category Discovery CVPR 2024
NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image ECCV 2024
Stable and Consistent Prediction of 3D Characteristic Orientation via Invariant Residual Learning ICML 2023
Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks CVPR 2023
Distilling Self-Supervised Vision Transformers for Weakly-Supervised Few-Shot Classification & Segmentation CVPR 2023
Generalizable Implicit Neural Representations via Instance Pattern Composers CVPR 2023
Relational Context Learning for Human-Object Interaction Detection CVPR 2023
Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023
Locality-Aware Generalizable Implicit Neural Representation NIPS 2023
Activity Grammars for Temporal Action Segmentation NIPS 2023
Devil's on the Edges: Selective Quad Attention for Scene Graph Generation CVPR 2023
Integrative Few-Shot Learning for Classification and Segmentation CVPR 2022
PeRFception: Perception using Radiance Fields NIPS 2022
Draft-and-Revise: Effective Image Generation with Contextual RQ-Transformer NIPS 2022
Peripheral Vision Transformer NIPS 2022
Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022
TransforMatcher: Match-to-Match Attention for Semantic Correspondence CVPR 2022
Self-Taught Metric Learning Without Labels CVPR 2022
Reflection and Rotation Symmetry Detection via Equivariant Learning CVPR 2022
Fast Point Transformer CVPR 2022
Detector-Free Weakly Supervised Group Activity Recognition CVPR 2022
Autoregressive Image Generation Using Residual Quantization CVPR 2022
Future Transformer for Long-Term Action Anticipation CVPR 2022
Towards Sequence-Level Training for Visual Tracking ECCV 2022
Selective Network Linearization for Efficient Private Inference ICML 2022
Learning to Assemble Geometric Shapes IJCAI 2022
Combinatorial Bayesian optimization with random mapping functions to convex polytopes UAI 2022
Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation WACV 2022
Relational Embedding for Few-Shot Classification ICCV 2021
Deep Hough Voting for Robust Global Registration ICCV 2021
Learning Self-Similarity in Space and Time As Generalized Motion for Video Action Recognition ICCV 2021
Hypercorrelation Squeeze for Few-Shot Segmentation ICCV 2021
Embedding Transfer With Label Relaxation for Improved Metric Learning CVPR 2021
Convolutional Hough Matching Networks CVPR 2021
Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021
Brick-by-Brick: Combinatorial Construction with Deep Reinforcement Learning NIPS 2021
Relational Self-Attention: What's Missing in Attention for Video Understanding NIPS 2021
Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NIPS 2021
Differentiable Spline Approximations NIPS 2021
Self-Calibrating Neural Radiance Fields ICCV 2021
Learning To Discover Reflection Symmetry via Polar Matching Convolution ICCV 2021
Proxy Anchor Loss for Deep Metric Learning CVPR 2020
Learning to Compose Hypercolumns for Visual Correspondence ECCV 2020
MotionSqueeze: Neural Motion Feature Learning for Video Understanding ECCV 2020
CircleGAN: Generative Adversarial Learning across Spherical Circles NIPS 2020
Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning AAAI 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
Local-Global Video-Text Interactions for Temporal Grounding CVPR 2020
Deep Metric Learning Beyond Binary Supervision CVPR 2019
Relational Knowledge Distillation CVPR 2019
Regularizing Neural Networks via Stochastic Branch Layers ACML 2019
InstaGAN: Instance-aware Image-to-Image Translation ICLR 2019
Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features ICCV 2019
Unsupervised Image Matching and Object Discovery as Optimization CVPR 2019
Mining GOLD Samples for Conditional GANs NIPS 2019
Attentive Semantic Alignment with Offset-Aware Correlation Kernels ECCV 2018
SCNet: Learning Semantic Correspondence ICCV 2017
Multi-Object Tracking With Quadruplet Convolutional Neural Networks CVPR 2017
Proposal Flow CVPR 2016
Thin-Slicing for Pose: Learning to Understand Pose Without Explicit Pose Estimation CVPR 2016
Unsupervised Object Discovery and Tracking in Video Collections ICCV 2015
Unsupervised Object Discovery and Localization in the Wild: Part-Based Matching With Bottom-Up Region Proposals CVPR 2015
Robust Image Filtering Using Joint Static and Dynamic Guidance CVPR 2015
Finding Matches in a Haystack: A Max-Pooling Strategy for Graph Matching in the Presence of Outliers CVPR 2014
Learning Graphs to Match ICCV 2013