works on

From the 1 of 56 linked papers with an AI index.

activity
20242026
collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV2026

CR-Seg: Attention-Guided and CoT-Enhanced Coarse-to-Refined Reasoning Segmentation

Yifan Cao, Xiaocui Yang, Faxian Wan +3

Reasoning segmentation aims to segment target objects described by complex language through joint visual-textual reasoning. Existing methods typically rely on either learned semant…

cs.CV2026

How Many Visual Tokens Do Multimodal Language Models Need? Scaling Visual Token Pruning with F^3A

YiJie Huang, Yiqun Zhang, Zhuoyue Jia +7

Vision-language models improve perception by feeding increasingly long visual token sequences into language backbones, but the resulting inference cost raises a basic scaling quest…

cs.CV2025

SignMouth: Leveraging Mouthing Cues for Sign Language Translation by Multimodal Contrastive Fusion

Wenfang Wu, Tingting Yuan, Yupeng Li +2

Sign language translation (SLT) aims to translate natural language from sign language videos, serving as a vital bridge for inclusive communication. While recent advances leverage…

cs.CV2025

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

Fanheng Kong, Jingyuan Zhang, Hongzhi Zhang +7

Videos are unique in their integration of temporal elements, including camera, scene, action, and attribute, along with their dynamic relationships over time. However, existing ben…

cs.CV2025

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Fanheng Kong, Jingyuan Zhang, Yahui Liu +8

Multimodal information retrieval (MIR) faces inherent challenges due to the heterogeneity of data sources and the complexity of cross-modal alignment. While previous studies have i…

cs.CV2025

Pixel-Level Reasoning Segmentation via Multi-turn Conversations

Dexian Cai, Xiaocui Yang, Yongkang Liu +4

Existing visual perception systems focus on region-level segmentation in single-turn dialogues, relying on complex and explicit query instructions. Such systems cannot reason at th…