41 citations · 48 across the 6 of their papers we have counts for
9 papers
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…
Customizable ROI-Based Deep Image Compression
Jian Jin, Fanxin Xia, Feng Ding +5
Region of Interest (ROI)-based image compression optimizes bit allocation by prioritizing ROI for higher-quality reconstruction. However, as the users (including human clients and…
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…
TransVFC: A Transformable Video Feature Compression Framework for Machines
Yuxiao Sun, Yao Zhao, Meiqin Liu +4
Nowadays, more and more video transmissions primarily aim at downstream machine vision tasks rather than humans. While widely deployed Human Visual System (HVS) oriented video codi…
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…