World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
87
Citations
27051
World Ranking
733
National Ranking
111

Overview

Feng Wu is affiliated with the University of Science and Technology of China in China and works primarily in the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their research contributions encompass various subfields, including Signal Processing, Media Technology, Electrical and Electronic Engineering, and Biophysics.

The scientist's work addresses diverse topics such as:

  • Advanced Image Processing Techniques
  • Image and Signal Denoising Methods
  • Advanced Data Compression Techniques
  • Advanced Vision and Imaging
  • Video Coding and Compression Technologies
  • Advanced Image and Video Retrieval Techniques
  • Image Processing Techniques and Applications

Feng Wu has co-authored frequently with several researchers, including:

  • Dong Liu
  • Li Li
  • Zhiwei Xiong
  • Siwei Ma
  • Changsheng Gao

Their recent notable publications include:

  • "Deep Learning-Based Video Coding," 2020, ACM Computing Surveys
  • "Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes," 2021, IEEE Transactions on Multimedia
  • "SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations," 2021, IEEE Transactions on Image Processing
  • "Successive Graph Convolutional Network for Image De-raining," 2021, International Journal of Computer Vision
  • "TDPN: Texture and Detail-Preserving Network for Single Image Super-Resolution," 2022, IEEE Transactions on Image Processing

Feng Wu's publications are distributed across multiple respected venues, with frequent contributions to:

  • IEEE Transactions on Circuits and Systems for Video Technology
  • IEEE Transactions on Multimedia
  • IEEE Transactions on Image Processing
  • arXiv (Cornell University)
  • ACM Computing Surveys

Best Publications

  • Compressive data gathering for large-scale wireless sensor networks

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • A framework for efficient progressive fine granularity scalable video coding

    Feng Wu;Shipeng Li;Ya-Qin Zhang

  • Background Prior-Based Salient Object Detection via Deep Reconstruction Residual

    Junwei Han;Dingwen Zhang;Xintao Hu;Lei Guo

  • Diverse Part Discovery: Occluded Person Re-identification with Part-Aware Transformer

    Yulin Li;Jianfeng He;Tianzhu Zhang;Xiang Liu

  • Efficient Parallel Framework for HEVC Motion Estimation on Many-Core Processors

    Chenggang Clarence Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • Multi-Modality Cross Attention Network for Image and Sentence Matching

    Xi Wei;Tianzhu Zhang;Yan Li;Yongdong Zhang

  • A Highly Parallel Framework for HEVC Coding Unit Partitioning Tree Decision on Many-core Processors

    Chenggang Yan;Yongdong Zhang;Jizheng Xu;Feng Dai

  • A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Coding

    Yuanying Dai;Dong Liu;Feng Wu

  • IMPROVED VIDEO DECODING METHOD AND APPARATUS

    Tourapis Alexandros;Wu Feng;Li Shipeng

  • HSCNN+: Advanced CNN-Based Hyperspectral Recovery from RGB Images

    Zhan Shi;Chang Chen;Zhiwei Xiong;Dong Liu

  • Adaptive Directional Lifting-Based Wavelet Transform for Image Coding

    Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li

  • Efficient Measurement Generation and Pervasive Sparsity for Compressive Data Gathering

    Chong Luo;Feng Wu;Jun Sun;Chang Wen Chen

  • An Iterative BP-CNN Architecture for Channel Decoding

    Fei Liang;Cong Shen;Feng Wu

  • Towards Optimal Power Control via Ensembling Deep Neural Networks

    Fei Liang;Cong Shen;Wei Yu;Feng Wu

  • Learning to Assemble Neural Module Tree Networks for Visual Grounding

    Daqing Liu;Hanwang Zhang;Zheng-Jun Zha;Feng Wu

  • HSCNN: CNN-Based Hyperspectral Image Recovery from Spectrally Undersampled Projections

    Zhiwei Xiong;Zhan Shi;Huiqun Li;Lizhi Wang

  • Image Compression With Edge-Based Inpainting

    Dong Liu;Xiaoyan Sun;Feng Wu;Shipeng Li

  • Timestamp-independent motion vector prediction for predictive (P) and bidirectionally predictive (B) pictures

    Alexandros Tourapis;Shipeng Li;Feng Wu;Gary J. Sullivan

  • Systems and methods with error resilience in enhancement layer bitstream of scalable video coding

    Ya-Qin Zhang;Shipeng Li;Feng Wu;Rong Yan

  • Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark

    Xiao Wang;Xiujun Shu;Zhipeng Zhang;Bo Jiang

  • Pseudo-sequence-based light field image compression

    Dong Liu;Lizhi Wang;Li Li;Zhiwei Xiong

Frequent Co-Authors

Shipeng Li
Shipeng Li Chinese University of Hong Kong, Shenzhen
Xiaoyan Sun
Xiaoyan Sun University of Science and Technology of China
Wen Gao
Wen Gao Peking University
Yan Lu
Yan Lu Microsoft Research Asia (China)
Houqiang Li
Houqiang Li University of Science and Technology of China
Ruiqin Xiong
Ruiqin Xiong Peking University
Zheng-Jun Zha
Zheng-Jun Zha University of Science and Technology of China
Ya-Qin Zhang
Ya-Qin Zhang Tsinghua University
Guangming Shi
Guangming Shi Xidian University
Debin Zhao
Debin Zhao Harbin Institute of Technology

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