World's Best Scientists 2026 revealed!
Chunhua Shen

Chunhua Shen

Award Badge
Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
128
Citations
73853
World Ranking
104
National Ranking
12

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Chunhua Shen is a researcher affiliated with Zhejiang University in China, primarily working in the field of Computer Science. Their work focuses strongly on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

Their main research topics include:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Advanced Vision and Imaging
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Handwritten Text Recognition Techniques

Chunhua Shen's publication record spans multiple venues, with a significant number of contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Notable recent papers include:

  • "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation", 2021, International Journal of Computer Vision
  • "FCOS: A Simple and Strong Anchor-free Object Detector", 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Twins: Revisiting the Design of Spatial Attention in Vision Transformers", 2021, arXiv (Cornell University)
  • "SOLOv2: Dynamic and Fast Instance Segmentation", 2020, arXiv (Cornell University)
  • "Conditional Positional Encodings for Vision Transformers", 2021, arXiv (Cornell University)

Frequent collaborators in their research include the following co-authors:

  • Zhi Tian
  • Xinlong Wang
  • Wei Yin
  • Hao Chen
  • Anton van den Hengel

Best Publications

  • FCOS: Fully Convolutional One-Stage Object Detection

    Zhi Tian;Chunhua Shen;Hao Chen;Tong He

  • Deep Learning for Anomaly Detection: A Review

    Guansong Pang;Chunhua Shen;Longbing Cao;Anton Van Den Hengel

  • RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation

    Guosheng Lin;Anton Milan;Chunhua Shen;Ian Reid

  • Wider or Deeper: Revisiting the ResNet Model for Visual Recognition

    Zifeng Wu;Chunhua Shen;Anton van den Hengel

  • BiSeNet V2: Bilateral Network with Guided Aggregation for Real-Time Semantic Segmentation

    Changqian Yu;Changqian Yu;Changxin Gao;Jingbo Wang;Gang Yu

  • Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections

    Xiao-Jiao Mao;Chunhua Shen;Yu-Bin Yang

  • Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

    Fayao Liu;Chunhua Shen;Guosheng Lin;Ian Reid

  • Supervised Discrete Hashing

    Fumin Shen;Chunhua Shen;Wei Liu;Heng Tao Shen

  • Efficient Piecewise Training of Deep Structured Models for Semantic Segmentation

    Guosheng Lin;Chunhua Shen;Anton van den Hengel;Ian Reid

  • Deep convolutional neural fields for depth estimation from a single image

    Fayao Liu;Chunhua Shen;Guosheng Lin

  • A survey of appearance models in visual object tracking

    Xi Li;Weiming Hu;Chunhua Shen;Zhongfei Zhang

  • DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers

    Chi Zhang;Yujun Cai;Guosheng Lin;Chunhua Shen

  • FCOS: A Simple and Strong Anchor-free Object Detector.

    Zhi Tian;Chunhua Shen;Hao Chen;Tong He

  • SOLO: Segmenting Objects by Locations

    Xinlong Wang;Tao Kong;Chunhua Shen;Yuning Jiang

  • Conditional Convolutions for Instance Segmentation

    Zhi Tian;Chunhua Shen;Hao Chen

  • End-to-End Video Instance Segmentation with Transformers

    Yuqing Wang;Zhaoliang Xu;Xinlong Wang;Chunhua Shen

  • CANet: Class-Agnostic Segmentation Networks With Iterative Refinement and Attentive Few-Shot Learning

    Chi Zhang;Guosheng Lin;Fayao Liu;Rui Yao

  • Twins: Revisiting the Design of Spatial Attention in Vision Transformers

    Xiangxiang Chu;Zhi Tian;Yuqing Wang;Bo Zhang

  • Depth and surface normal estimation from monocular images using regression on deep features and hierarchical CRFs

    Bo Li;Chunhua Shen;Yuchao Dai;Anton van den Hengel

  • PolarMask: Single Shot Instance Segmentation With Polar Representation

    Enze Xie;Peize Sun;Xiaoge Song;Wenhai Wang

  • What Value Do Explicit High Level Concepts Have in Vision to Language Problems

    Qi Wu;Chunhua Shen;Lingqiao Liu;Anthony Dick

  • VITAL: VIsual Tracking via Adversarial Learning

    Yibing Song;Chao Ma;Xiaohe Wu;Lijun Gong

Frequent Co-Authors

Anton van den Hengel
Anton van den Hengel University of Adelaide
Lingqiao Liu
Lingqiao Liu University of Adelaide
Ian Reid
Ian Reid University of Adelaide
Guosheng Lin
Guosheng Lin Nanyang Technological University
Qi Wu
Qi Wu University of Adelaide
Qinfeng Shi
Qinfeng Shi University of Adelaide
Anthony Dick
Anthony Dick University of Adelaide
Jian Zhang
Jian Zhang University of Technology Sydney
Heng Tao Shen
Heng Tao Shen University of Electronic Science and Technology of China
Mingkui Tan
Mingkui Tan South China University of Technology

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