most citedEVE: Towards End-to-End Video Subtitle Extraction with Vision-Language Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.MM2026

Vision-Guided Text Prompt Tuning for Multimodal Sentiment Analysis

Xiaoran Kou, Jingyi Wu, Peng Sun +2

Multimodal sentiment analysis requires effective modeling of both verbal semantics and non-verbal affective cues. A central challenge is to calibrate text-centered sentiment unders…

cs.CV2026

Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection

Yang Liu, Boan Chen, Yuanyuan Meng +5

As embodied perception systems increasingly bridge digital and physical realms in interactive multimedia applications, the need for privacy-preserving approaches to understand huma…

cs.CV2026

Dolphin-v2: Universal Document Parsing via Scalable Anchor Prompting

Hao Feng, Wei Shi, Ke Zhang +9

Document parsing has garnered widespread attention as vision-language models (VLMs) advance OCR capabilities. However, the field remains fragmented across dozens of specialized mod…

cs.CV2025

V2X-RECT: An Efficient V2X Trajectory Prediction Framework via Redundant Interaction Filtering and Tracking Error Correction

Xiangyan Kong, Xuecheng Wu, Xiongwei Zhao +7

V2X prediction can alleviate perception incompleteness caused by limited line of sight through fusing trajectory data from infrastructure and vehicles, which is crucial to traffic…

cs.CV2025★ 1 cited

EVE: Towards End-to-End Video Subtitle Extraction with Vision-Language Models

Haiyang Yu, Mengyang Zhao, Jinghui Lu +8

Video subtitles play a crucial role in short videos and movies, as they not only help models better understand video content but also support applications such as video translation…