41 citations · 65 across the 17 of their papers we have counts for
17 papers
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…
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.…
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…
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…
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…
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…
Semantic Lens: Instance-Centric Semantic Alignment for Video Super-Resolution
Qi Tang, Yao Zhao, Meiqin Liu +2
As a critical clue of video super-resolution (VSR), inter-frame alignment significantly impacts overall performance. However, accurate pixel-level alignment is a challenging task d…
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…
SigVIC: Spatial Importance Guided Variable-Rate Image Compression
Jiaming Liang, Meiqin Liu, Chao Yao +2
Variable-rate mechanism has improved the flexibility and efficiency of learning-based image compression that trains multiple models for different rate-distortion tradeoffs. One of…
Temporal Consistency Learning of inter-frames for Video Super-Resolution
Meiqin Liu, Shuo Jin, Chao Yao +2
Video super-resolution (VSR) is a task that aims to reconstruct high-resolution (HR) frames from the low-resolution (LR) reference frame and multiple neighboring frames. The vital…
JNMR: Joint Non-linear Motion Regression for Video Frame Interpolation
Meiqin Liu, Chenming Xu, Chao Yao +2
Video frame interpolation (VFI) aims to generate predictive frames by warping learnable motions from the bidirectional historical references. Most existing works utilize spatio-tem…
Dense residual Transformer for image denoising
Chao Yao, Shuo Jin, Meiqin Liu +1
Image denoising is an important low-level computer vision task, which aims to reconstruct a noise-free and high-quality image from a noisy image. With the development of deep learn…
Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline
Lingzhi He, Hongguang Zhu, Feng Li +6
Depth maps obtained by commercial depth sensors are always in low-resolution, making it difficult to be used in various computer vision tasks. Thus, depth map super-resolution (SR)…