collaborators

9 papers

eess.IV2026

Symmetric Entropy-Constrained Video Coding for Machines

Yuxiao Sun, Meiqin Liu, Chao Yao +5

As video transmission increasingly serves machine vision systems (MVS) instead of human vision systems (HVS), video coding for machines (VCM) has become a critical research topic.…

eess.IV2026

KD-NVC: A Search-and-Distill Framework to Accelerate Neural Video Coding

Yuxiao Sun, Meiqin Liu, Chao Yao +6

While neural video coding (NVC) has achieved remarkable rate-distortion performance, real-time decoding on edge devices has become an important demand but remains limited by high c…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…