activity
20222026
most citedLearning Pixel-Level Distinctions for Video Highlight Detection

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

TGuide: Faster Autoregressive Video Diffusion via Historical Trajectory Guidance

Zhuo Chen, Bin Zou, Fanyue Wei +3

Can autoregressive video diffusion be accelerated further when only four denoising steps remain? Existing feature caching approaches struggle in this regime, as large feature chang…

cs.CV2026

Dynamic Resolution Routing for Efficient Egocentric Grounding

Huixin Sun, Wangbo Zhao, Fanyue Wei +3

Egocentric visual grounding requires high-resolution inputs to localize small objects. However, scaling Multimodal Large Language Models to this domain is constrained by the excess…

cs.CV2025

The Devil is in Attention Sharing: Improving Complex Non-rigid Image Editing Faithfulness via Attention Synergy

Zhuo Chen, Fanyue Wei, Runze Xu +4

Training-free image editing with large diffusion models has become practical, yet faithfully performing complex non-rigid edits (e.g., pose or shape changes) remains highly challen…

cs.CV2025

The Devil is in the Spurious Correlations: Boosting Moment Retrieval with Dynamic Learning

Xinyang Zhou, Fanyue Wei, Lixin Duan +2

Given a textual query along with a corresponding video, the objective of moment retrieval aims to localize the moments relevant to the query within the video. While commendable res…

cs.CV2024

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning

Fanyue Wei, Wei Zeng, Zhenyang Li +3

Personalized text-to-image models allow users to generate varied styles of images (specified with a sentence) for an object (specified with a set of reference images). While remark…

cs.CV2022★ 1 cited

Learning Pixel-Level Distinctions for Video Highlight Detection

Fanyue Wei, Biao Wang, Tiezheng Ge +3

The goal of video highlight detection is to select the most attractive segments from a long video to depict the most interesting parts of the video. Existing methods typically focu…