Cheng-En Wu
6 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (17) π Academic Marathon (6)
π
Cross-Pollinator
(10)
β
The Questioner
Conferences
ICCV (2)
NIPS (2)
CVPR (1)
WACV (1)
Top co-authors
Research topics
Keywords
self-supervised learning
(3)
vision transformer
(2)
representation learning
(2)
contrastive learning
(2)
model compression
(2)
few-shot learning
(1)
transfer learning
(1)
curriculum learning
(1)
multimodal learning
(1)
video understanding
(1)
visual representation
(1)
object tracking
(1)
efficient inference
(1)
vision-language model
(1)
noisy label
(1)
token pruning
(1)
downstream performance
(1)
video dataset
(1)
clip model
(1)
sequence compression
(1)
Papers
From Prototypes to General Distributions: An Efficient Curriculum for Masked Image Modeling
CVPR 2025
TrackVerse: A Large-Scale Object-Centric Video Dataset for Image-Level Representation Learning
ICCV 2025
Patch Ranking: Token Pruning as Ranking Prediction for Efficient CLIP
WACV 2025
Accelerating Augmentation Invariance Pretraining
NIPS 2024
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
ICCV 2023
Compacting, Picking and Growing for Unforgetting Continual Learning
NIPS 2019