348 citations · 1.4k across the 60 of their papers we have counts for
12 papers · 1 filter
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT Images
Runmin Cong, Haowei Yang, Qiuping Jiang +5
The spread of COVID-19 has brought a huge disaster to the world, and the automatic segmentation of infection regions can help doctors to make diagnosis quickly and reduce workload.…
Efficient VVC Intra Prediction Based on Deep Feature Fusion and Probability Estimation
Tiesong Zhao, Yuhang Huang, Weize Feng +2
The ever-growing multimedia traffic has underscored the importance of effective multimedia codecs. Among them, the up-to-date lossy video coding standard, Versatile Video Coding (V…
Deep Learning-Based Intra Mode Derivation for Versatile Video Coding
Linwei Zhu, Yun Zhang, Na Li +2
In intra coding, Rate Distortion Optimization (RDO) is performed to achieve the optimal intra mode from a pre-defined candidate list. The optimal intra mode is also required to be…
CSformer: Bridging Convolution and Transformer for Compressive Sensing
Dongjie Ye, Zhangkai Ni, Hanli Wang +3
Convolution neural networks (CNNs) have succeeded in compressive image sensing. However, due to the inductive bias of locality and weight sharing, the convolution operations demons…
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network
Zhangkai Ni, Wenhan Yang, Shiqi Wang +2
In this work, we aim to learn an unpaired image enhancement model, which can enrich low-quality images with the characteristics of high-quality images provided by users. We propose…
Deep Selective Combinatorial Embedding and Consistency Regularization for Light Field Super-resolution
Jing Jin, Junhui Hou, Zhiyu Zhu +2
Light field (LF) images acquired by hand-held devices usually suffer from low spatial resolution as the limited detector resolution has to be shared with the angular dimension. LF…
Towards Modality Transferable Visual Information Representation with Optimal Model Compression
Rongqun Lin, Linwei Zhu, Shiqi Wang +1
Compactly representing the visual signals is of fundamental importance in various image/video-centered applications. Although numerous approaches were developed for improving the i…
Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
Xinju Wu, Yun Zhang, Chunling Fan +2
In this paper, we focus on subjective and objective Point Cloud Quality Assessment (PCQA) in an immersive environment and study the effect of geometry and texture attributes in com…
Video Compression Coding via Colorization: A Generative Adversarial Network (GAN)-Based Approach
Zhaoqing Pan, Feng Yuan, Jianjun Lei +1
Under the limited storage, computing and network bandwidth resources, the video compression coding technology plays an important role for visual communication. To efficiently compr…
Controllable List-wise Ranking for Universal No-reference Image Quality Assessment
Fu-Zhao Ou, Yuan-Gen Wang, Jin Li +2
No-reference image quality assessment (NR-IQA) has received increasing attention in the IQA community since reference image is not always available. Real-world images generally suf…
Deep Coarse-to-fine Dense Light Field Reconstruction with Flexible Sampling and Geometry-aware Fusion
Jing Jin, Junhui Hou, Jie Chen +3
A densely-sampled light field (LF) is highly desirable in various applications, such as 3-D reconstruction, post-capture refocusing and virtual reality. However, it is costly to ac…
Compressed Image Quality Assessment Based on Saak Features
Xinfeng Zhang, Sam Kwong, C. -C. Jay Kuo
Compressed image quality assessment plays an important role in image services, especially in image compression applications, which can be utilized as a guidance to optimize image p…