3 papers
cs.CV2026
Combating Noisy Labels through Fostering Self- and Neighbor-Consistency
Zeren Sun, Yazhou Yao, Tongliang Liu +3
Label noise is pervasive in various real-world scenarios, posing challenges in supervised deep learning. Deep networks are vulnerable to such label-corrupted samples due to the mem…
cs.CV2025
See the Text: From Tokenization to Visual Reading
Ling Xing, Rui Yan, Alex Jinpeng Wang +2
People see text. Humans read by recognizing words as visual objects, including their shapes, layouts, and patterns, before connecting them to meaning, which enables us to handle ty…
cs.CV2025
VideoExpert: Augmented LLM for Temporal-Sensitive Video Understanding
Henghao Zhao, Ge-Peng Ji, Rui Yan +2
The core challenge in video understanding lies in perceiving dynamic content changes over time. However, multimodal large language models struggle with temporal-sensitive video tas…