Minsu Cho
89 papers · 2013–2026 · 11 conferences · across top CS/AI conferences
Achievements
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(4)
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(9)
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(112)
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Conference Loyalist
(37)
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Grand Slam
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Topic Evolution
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(19)
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(5)
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(15)
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(13)
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Keyword Collector
(371)
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Trend Setter
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Century Club
(89)
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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
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