8 papers
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.…
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…
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…
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…
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…