Beyond Intermediate States: Explaining Visual Redundancy through Language

1 code implementation • 26 Mar 2025 • Dingchen Yang, Bowen Cao, Anran Zhang, Weibo Gu, Winston Hu, Guang Chen

Multi-modal Large Langue Models (MLLMs) often process thousands of visual tokens, which consume a significant portion of the context window and impose a substantial computational burden.

Pensieve: Retrospect-then-Compare Mitigates Visual Hallucination

1 code implementation • 21 Mar 2024 • Dingchen Yang, Bowen Cao, Guang Chen, Changjun Jiang

Multi-modal Large Language Models (MLLMs) demonstrate remarkable success across various vision-language tasks.

Hallucination MME +1

3D Data Augmentation for Driving Scenes on Camera

no code implementations • 18 Mar 2023 • Wenwen Tong, Jiangwei Xie, Tianyu Li, Hanming Deng, Xiangwei Geng, Ruoyi Zhou, Dingchen Yang, Bo Dai, Lewei Lu, Hongyang Li

The proposed data augmentation approach contributes to a gain of 1. 7% and 1. 4% in terms of detection accuracy, on Waymo and nuScences respectively.

Autonomous Driving Data Augmentation +2