collaborators

5 papers

cs.CV2026

HieraVid: Hierarchical Token Pruning for Fast Video Large Language Models

Yansong Guo, Chaoyang Zhu, Jiayi Ji +2

Video Large Language Models (VideoLLMs) have demonstrated impressive capabilities in video understanding, yet the massive number of input video tokens incurs a significant computat…

cs.CV2026

3D-DRES: Detailed 3D Referring Expression Segmentation

Qi Chen, Changli Wu, Jiayi Ji +2

Current 3D visual grounding tasks only process sentence level detection or segmentation, which critically fails to leverage the rich compositional contextual reasonings within natu…

cs.CV2026

MVGGT: Multimodal Visual Geometry Grounded Transformer for Multiview 3D Referring Expression Segmentation

Changli Wu, Haodong Wang, Jiayi Ji +5

Most existing 3D referring expression segmentation (3DRES) methods rely on dense, high-quality point clouds, while real-world agents such as robots and mobile phones operate with o…

cs.CV2025

Evolving, Not Training: Zero-Shot Reasoning Segmentation via Evolutionary Prompting

Kai Ye, Xiaotong You, Jianghang Lin +3

Reasoning Segmentation requires models to interpret complex, context-dependent linguistic queries to achieve pixel-level localization. Current dominant approaches rely heavily on S…

eess.IV2025

Understanding What Is Not Said:Referring Remote Sensing Image Segmentation with Scarce Expressions

Kai Ye, Bowen Liu, Jianghang Lin +3

Referring Remote Sensing Image Segmentation (RRSIS) aims to segment instances in remote sensing images according to referring expressions. Unlike Referring Image Segmentation on ge…