15 citations · 17 across the 11 of their papers we have counts for
11 papers
Fast Test-Time Refinement for Robust Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin
Learned image compression (LIC) has demonstrated remarkable rate-distortion (RD) performance in benign settings. However, the high representational capacity endowed by deep neural…
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…
AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling
Jiacheng Shi, Hongfei Du, Xinyuan Song +3
Neural speech codecs provide discrete representations for speech language models, but emotional cues are often degraded during quantization. Existing codecs mainly optimize acousti…
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
Jiaming Liang, Chi-Man Pun, Weisi Lin +1
Learned image compression (LIC) integrates deep neural networks (DNNs) to map high-dimensional images into compact latent representations, reducing redundancy and achieving superio…
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…
Scaling Audio-Visual Quality Assessment Dataset via Crowdsourcing
Renyu Yang, Jian Jin, Lili Meng +4
Audio-visual quality assessment (AVQA) research has been stalled by limitations of existing datasets: they are typically small in scale, with insufficient diversity in content and…
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.…
Embedding Compression Distortion in Video Coding for Machines
Yuxiao Sun, Yao Zhao, Meiqin Liu +2
Currently, video transmission serves not only the Human Visual System (HVS) for viewing but also machine perception for analysis. However, existing codecs are primarily optimized f…
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…
IVC: A Unified Framework for Intra- & Inter-frame Video Compression
Meiqin Liu, Chenming Xu, Yukai Gu +2
Video compression aims to reconstruct seamless frames by encoding the motion and residual information from existing frames. Previous neural video compression methods necessitate di…
IBVC: Interpolation-driven B-frame Video Compression
Chenming Xu, Meiqin Liu, Chao Yao +2
Learned B-frame video compression aims to adopt bi-directional motion estimation and motion compensation (MEMC) coding for middle frame reconstruction. However, previous learned ap…