World's Best Scientists 2026 revealed!
Xiaohui Shen

Xiaohui Shen

D-Index & Metrics

Computer Science

D-Index
66
Citations
24112
World Ranking
2275
National Ranking
312

Overview

Xiaohui Shen is affiliated with ByteDance in China and has contributed extensively to the field of Computer Science, with a focus on Computer Vision and Pattern Recognition. Their research portfolio includes numerous works related to artificial intelligence and advanced imaging techniques.

Key research topics covered by Xiaohui Shen include:

  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Advanced Vision and Imaging
  • Image Enhancement Techniques
  • Advanced Neural Network Applications

Among recent papers authored or co-authored by Xiaohui Shen are:

  • "EnlightenGAN: Deep Light Enhancement Without Paired Supervision," 2021, IEEE Transactions on Image Processing
  • "Anatomy-Aware 3D Human Pose Estimation With Bone-Based Pose Decomposition," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Contrastive Masked Autoencoders are Stronger Vision Learners," 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis," 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)

The frequent co-authors that appear in Xiaohui Shen's publications include:

  • Qihang Yu
  • Liang-Chieh Chen
  • Ding Liu
  • Yiheng Zhu
  • Xiaojie Jin

Xiaohui Shen has published predominantly in these venues:

  • arXiv (Cornell University)
  • Journal of Pharmaceutical and Biomedical Analysis
  • 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Circuits and Systems for Video Technology

The subfields of study covered in Shen's research reflect a broad interdisciplinary approach combining elements of computer vision, artificial intelligence, molecular biology, biomedical engineering, and electrical engineering.

Best Publications

  • Generative Image Inpainting with Contextual Attention

    Jiahui Yu;Zhe Lin;Jimei Yang;Xiaohui Shen

  • EnlightenGAN: Deep Light Enhancement Without Paired Supervision

    Yifan Jiang;Xinyu Gong;Ding Liu;Yu Cheng

  • A convolutional neural network cascade for face detection

    Haoxiang Li;Zhe Lin;Xiaohui Shen;Jonathan Brandt

  • Free-Form Image Inpainting With Gated Convolution

    Jiahui Yu;Zhe Lin;Jimei Yang;Xiaohui Shen

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Sarah Adel Bargal;Zhe Lin;Jonathan Brandt

  • A unified approach to salient object detection via low rank matrix recovery

    Xiaohui Shen;Ying Wu

  • MAttNet: Modular Attention Network for Referring Expression Comprehension

    Licheng Yu;Zhe Lin;Xiaohui Shen;Jimei Yang

  • STC: A Simple to Complex Framework for Weakly-Supervised Semantic Segmentation

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Xiaohui Shen

  • Top-Down Neural Attention by Excitation Backprop

    Jianming Zhang;Zhe L. Lin;Jonathan Brandt;Xiaohui Shen

  • Look into Person: Self-Supervised Structure-Sensitive Learning and a New Benchmark for Human Parsing

    Ke Gong;Xiaodan Liang;Dongyu Zhang;Xiaohui Shen

  • Towards unified depth and semantic prediction from a single image

    Peng Wang;Xiaohui Shen;Zhe Lin;Scott Cohen

  • Photo Aesthetics Ranking Network with Attributes and Content Adaptation

    Shu Kong;Xiaohui Shen;Zhe L. Lin;Radomír Mech

  • Minimum Barrier Salient Object Detection at 80 FPS

    Jianming Zhang;Stan Sclaroff;Zhe Lin;Xiaohui Shen

  • Semantic Object Parsing with Graph LSTM

    Xiaodan Liang;Xiaohui Shen;Jiashi Feng;Liang Lin

  • Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark

    Xiaodan Liang;Ke Gong;Xiaohui Shen;Liang Lin

  • Deep Multi-patch Aggregation Network for Image Style, Aesthetics, and Quality Estimation

    Xin Lu;Zhe Lin;Xiaohui Shen;Radomir Mech

  • Learning to predict indoor illumination from a single image

    Marc-André Gardner;Kalyan Sunkavalli;Ersin Yumer;Xiaohui Shen

  • Human Parsing with Contextualized Convolutional Neural Network

    Xiaodan Liang;Chunyan Xu;Xiaohui Shen;Jianchao Yang

  • Deep Human Parsing with Active Template Regression

    Xiaodan Liang;Si Liu;Xiaohui Shen;Jianchao Yang

  • Anatomy-aware 3D Human Pose Estimation with Bone-based Pose Decomposition

    Tianlang Chen;Chen Fang;Xiaohui Shen;Yiheng Zhu

  • Proposal-Free Network for Instance-Level Object Segmentation

    Xiaodan Liang;Liang Lin;Yunchao Wei;Xiaohui Shen

Frequent Co-Authors

Zhe Lin
Zhe Lin Adobe Systems (United States)
Radomir Mech
Radomir Mech Adobe Systems (United States)
Jonathan Brandt
Jonathan Brandt Adobe Systems (United States)
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Brian Price
Brian Price Adobe Systems (United States)
Shuicheng Yan
Shuicheng Yan National University of Singapore
Liang Lin
Liang Lin Sun Yat-sen University
Jimei Yang
Jimei Yang Adobe Systems (United States)
Scott Cohen
Scott Cohen Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)

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