Chao-Yuan Wu
17 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+9 more ↓ Show less ↑
π Academic Marathon (8) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (6)
π
Conference Polyglot
(5)
π
Academic Marathon
(8)
π§
Keyword Pioneer
π§¬
Topic Evolution
π₯
Unstoppable
(9)
π
Conference Pioneer
π
Century Club
(17)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(74)
Conferences
CVPR (11)
ICCV (2)
ICLR (2)
ECCV (1)
ICML (1)
Top co-authors
Keywords
video understanding
(4)
vision transformer
(4)
image classification
(3)
temporal modeling
(3)
self-supervised learning
(2)
point cloud
(2)
latent representation
(2)
action recognition
(2)
transformer architecture
(2)
transfer learning
(2)
video classification
(2)
video recognition
(2)
convolutional neural network
(2)
point cloud generation
(1)
object detection
(1)
feature extraction
(1)
convex optimization
(1)
semantic segmentation
(1)
representation learning
(1)
image generation
(1)
Papers
SAM 2: Segment Anything in Images and Videos
ICLR 2025
PointInfinity: Resolution-Invariant Point Diffusion Models
CVPR 2024
Multiview Compressive Coding for 3D Reconstruction
CVPR 2023
Masked Feature Prediction for Self-Supervised Visual Pre-Training
CVPR 2022
MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition
CVPR 2022
Reversible Vision Transformers
CVPR 2022
A ConvNet for the 2020s
CVPR 2022
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
CVPR 2022
Memory Optimization for Deep Networks
ICLR 2021
Towards Long-Form Video Understanding
CVPR 2021
A Multigrid Method for Efficiently Training Video Models
CVPR 2020
Fashion++: Minimal Edits for Outfit Improvement
ICCV 2019
Long-Term Feature Banks for Detailed Video Understanding
CVPR 2019
Compressed Video Action Recognition
CVPR 2018
Video Compression through Image Interpolation
ECCV 2018
Sampling Matters in Deep Embedding Learning
ICCV 2017
Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization
ICML 2017