41 citations · 43 across the 16 of their papers we have counts for
9 papers · 1 filter
StableHand: Quality-Aware Flow Matching for World-Space Dual-Hand Motion Estimation from Egocentric Video
Huajian Zeng, Chaohua Yao, Yuantai Zhang +3
Recovering world space 4D motion of two interacting hands from egocentric video is a fundamental capability for supervising robot policy learning, where wrist trajectories track th…
TALENT: Target-aware Efficient Tuning for Referring Image Segmentation
Shuo Jin, Siyue Yu, Bingfeng Zhang +3
Referring image segmentation aims to segment specific targets based on a natural text expression. Recently, parameter-efficient tuning (PET) has emerged as a promising paradigm. Ho…
GT-PCQA: Geometry-Texture Decoupled Point Cloud Quality Assessment with MLLM
Guohua Zhang, Jian Jin, Meiqin Liu +3
With the rapid advancement of Multi-modal Large Language Models (MLLMs), MLLM-based Image Quality Assessment (IQA) methods have shown promising generalization. However, directly ex…
QD-PCQA: Quality-Aware Domain Adaptation for Point Cloud Quality Assessment
Guohua Zhang, Jian Jin, Meiqin Liu +2
No-Reference Point Cloud Quality Assessment (NR-PCQA) still struggles with generalization, primarily due to the scarcity of annotated point cloud datasets. Since the Human Visual S…
MambaVSR: Content-Aware Scanning State Space Model for Video Super-Resolution
Linfeng He, Meiqin Liu, Qi Tang +2
Video super-resolution (VSR) faces critical challenges in effectively modeling non-local dependencies across misaligned frames while preserving computational efficiency. Existing V…
SeeClear: Semantic Distillation Enhances Pixel Condensation for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu +1
Diffusion-based Video Super-Resolution (VSR) is renowned for generating perceptually realistic videos, yet it grapples with maintaining detail consistency across frames due to stoc…