activity
20242026
most citedRaformer: Redundancy-Aware Transformer for Video Wire Inpainting

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2026

CofactVLA: Deconfounding Vision-Language-Action Models via Counterfactual Intervention

Yan Zhang, Yinan Wu, Haoran Duan +1

Vision-Language-Action (VLA) models have driven significant progress in robotic manipulation, yet they fundamentally struggle with the vision-override phenomenon. Driven by the sev…

cs.CV2026

Calibrate Before Reason: Robust Visual Token Reduction against Semantic Drift in VLMs

Jiasheng Li, Zhong Ji, Yan Zhang +1

Large Vision-Language Models (VLMs) suffer from prohibitive inference overhead due to long sequences of visual tokens. However, existing visual token reduction methods mainly impro…

cs.CV2026

TAP-RAG: Task-Aware Policy Control for Long-Document Multimodal Question Answering

Zhong Ji, Keqi Jin, Yan Zhang +1

Long-document multimodal question answering requires more than retrieving relevant chunks from a large document. Different queries require different evidence behavior. Existing mul…

cs.CV2025

iEBAKER: Improved Remote Sensing Image-Text Retrieval Framework via Eliminate Before Align and Keyword Explicit Reasoning

Yan Zhang, Zhong Ji, Changxu Meng +2

Recent studies focus on the Remote Sensing Image-Text Retrieval (RSITR), which aims at searching for the corresponding targets based on the given query. Among these efforts, the ap…

cs.CV2025

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning

Zhong Ji, Weilong Cao, Yan Zhang +3

Diffusion models has emerged as a powerful framework for tasks like image controllable generation and dense prediction. However, existing models often struggle to capture underlyin…

cs.CV20242 cited

Raformer: Redundancy-Aware Transformer for Video Wire Inpainting

Zhong Ji, Yimu Su, Yan Zhang +3

Video Wire Inpainting (VWI) is a prominent application in video inpainting, aimed at flawlessly removing wires in films or TV series, offering significant time and labor savings co…