most citedToken Statistics Transformer: Linear-Time Attention via Variational Rate Reduction

7 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2025

Language-Image Alignment with Fixed Text Encoders

Jingfeng Yang, Ziyang Wu, Yue Zhao +1

Currently, the most dominant approach to establishing language-image alignment is to pre-train text and image encoders jointly through contrastive learning, such as CLIP and its va…

cs.CV2025

Simplifying DINO via Coding Rate Regularization

Ziyang Wu, Jingyuan Zhang, Druv Pai +5

DINO and DINOv2 are two model families being widely used to learn representations from unlabeled imagery data at large scales. Their learned representations often enable state-of-t…