348 citations · 703 across the 40 of their papers we have counts for
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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…
A Survey on Perceptually Optimized Video Coding
Yun Zhang, Linwei Zhu, Gangyi Jiang +2
To provide users with more realistic visual experiences, videos are developing in the trends of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide C…
Learning Transformer Features for Image Quality Assessment
Chao Zeng, Sam Kwong
Objective image quality evaluation is a challenging task, which aims to measure the quality of a given image automatically. According to the availability of the reference images, t…
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images
Runmin Cong, Yumo Zhang, Leyuan Fang +3
Salient object detection (SOD) for optical remote sensing images (RSIs) aims at locating and extracting visually distinctive objects/regions from the optical RSIs. Despite some sal…
Cross-modality Discrepant Interaction Network for RGB-D Salient Object Detection
Chen Zhang, Runmin Cong, Qinwei Lin +4
The popularity and promotion of depth maps have brought new vigor and vitality into salient object detection (SOD), and a mass of RGB-D SOD algorithms have been proposed, mainly co…
BridgeNet: A Joint Learning Network of Depth Map Super-Resolution and Monocular Depth Estimation
Qi Tang, Runmin Cong, Ronghui Sheng +4
Depth map super-resolution is a task with high practical application requirements in the industry. Existing color-guided depth map super-resolution methods usually necessitate an e…