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Minsu Cho

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

Achievements

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+16 more ↓ πŸƒ Academic Marathon (13) 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (4)
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Conferences

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

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