activity
20242026
collaborators

9 papers

cs.CV2026

Attribute Retrieving for Open-Vocabulary Endoscopic Compositional Referring Segmentation

Shun Liu, Nan Xi, Yang Liu +3

Referring Image Segmentation (RIS) aims to segment image regions specified by natural language, enabling fine-grained and controllable visual understanding. Extending RIS to endosc…

cs.CV2026

FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants

Mahesh Bhosale, Abdul Wasi, Shantam Srivastava +5

While powerful in image-conditioned generation, multimodal large language models (MLLMs) can display uneven performance across demographic groups, highlighting fairness risks. In s…

cs.CV2026

PP-Motion: Physical-Perceptual Fidelity Evaluation for Human Motion Generation

Sihan Zhao, Zixuan Wang, Tianyu Luan +5

Human motion generation has found widespread applications in AR/VR, film, sports, and medical rehabilitation, offering a cost-effective alternative to traditional motion capture sy…

cs.CV2026

VLM-Guided Iterative Refinement for Surgical Image Segmentation with Foundation Models

Ange Lou, Yamin Li, Qi Chang +4

Surgical image segmentation is essential for robot-assisted surgery and intraoperative guidance. However, existing methods are constrained to predefined categories, produce one-sho…

cs.CV2025

Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network

Tianyu Luan, Xuelu Feng, Zixin Zhu +6

Textured high-fidelity 3D models are crucial for games, AR/VR, and film, but human-aligned evaluation methods still fall behind despite recent advances in 3D reconstruction and gen…

cs.CV2025

SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation

Sheng Liu, Tianyu Luan, Phani Nuney +2

3D generation and reconstruction techniques have been widely used in computer games, film, and other content creation areas. As the application grows, there is a growing demand for…