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Computer Science
China
2026

D-Index & Metrics

Computer Science

D-Index
109
Citations
56609
World Ranking
239
National Ranking
28

Research.com Recognitions

  • 2026 - Research.com Computer Science in China Leader Award
  • 2025 - Research.com Computer Science in China Leader Award
  • 2023 - Research.com Computer Science in China Leader Award
  • 2022 - Research.com Computer Science in China Leader Award

Overview

Huchuan Lu is a researcher affiliated with Dalian University of Technology in China, focusing primarily on the field of computer science. Their work extensively covers subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Biomedical Engineering, and Cognitive Neuroscience.

The scientist has made significant contributions in several main topics within their domain. These include:

  • Visual Attention and Saliency Detection
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Multimodal Machine Learning Applications

Their recent publications highlight a focus on both foundational and applied aspects of image and video analysis. Notable papers include:

  • "Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Similarity Reasoning and Filtration for Image-Text Matching" (2021), published in the Proceedings of the AAAI Conference on Artificial Intelligence
  • "Reverse Attention-Based Residual Network for Salient Object Detection" (2020), published in IEEE Transactions on Image Processing
  • "Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Jointly Modeling Motion and Appearance Cues for Robust RGB-T Tracking" (2021), published in IEEE Transactions on Image Processing

The scientist frequently collaborates with several co-authors, including:

  • Lihe Zhang
  • Dong Wang
  • Pingping Zhang
  • Xiaoqi Zhao
  • Youwei Pang

Their work has been published in a range of venues with repeated contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Image Processing
  • IEEE Transactions on Neural Networks and Learning Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Pattern Recognition

In addition to research articles, Huchuan Lu has authored multiple books published by Springer Science+Business Media, including the titles:

  • "Pattern Recognition and Computer Vision" (2020)
  • "Image and Graphics" (2023) [multiple editions]

Best Publications

  • Saliency Detection via Graph-Based Manifold Ranking

    Chuan Yang;Lihe Zhang;Huchuan Lu;Xiang Ruan

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • The Visual Object Tracking VOT2017 Challenge Results

    Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg

  • The Visual Object Tracking VOT2015 Challenge Results

    Matej Kristan;Jiri Matas;Ale Leonardis;Michael Felsberg

  • Deep Mutual Learning

    Ying Zhang;Tao Xiang;Timothy M. Hospedales;Huchuan Lu

  • Visual tracking via adaptive structural local sparse appearance model

    Xu Jia;Huchuan Lu;Ming-Hsuan Yang

  • Robust object tracking via sparsity-based collaborative model

    Wei Zhong;Huchuan Lu;Ming-Hsuan Yang

  • Learning to Detect Salient Objects with Image-Level Supervision

    Lijun Wang;Huchuan Lu;Yifan Wang;Mengyang Feng

  • Visual Tracking with Fully Convolutional Networks

    Lijun Wang;Wanli Ouyang;Xiaogang Wang;Huchuan Lu

  • Transformer Tracking

    Xin Chen;Bin Yan;Jiawen Zhu;Dong Wang

  • Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection

    Pingping Zhang;Dong Wang;Huchuan Lu;Hongyu Wang

  • Multi-Scale Interactive Network for Salient Object Detection

    Youwei Pang;Xiaoqi Zhao;Lihe Zhang;Huchuan Lu

  • Saliency Detection via Dense and Sparse Reconstruction

    Xiaohui Li;Huchuan Lu;Lihe Zhang;Xiang Ruan

  • Deep networks for saliency detection via local estimation and global search

    Lijun Wang;Huchuan Lu;Xiang Ruan;Ming-Hsuan Yang

  • Saliency Detection via Absorbing Markov Chain

    Bowen Jiang;Lihe Zhang;Huchuan Lu;Chuan Yang

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • Superpixel tracking

    Shu Wang;Huchuan Lu;Fan Yang;Ming-Hsuan Yang

  • Progressive Attention Guided Recurrent Network for Salient Object Detection

    Xiaoning Zhang;Tiantian Wang;Jinqing Qi;Huchuan Lu

  • Pose-Invariant Embedding for Deep Person Re-Identification

    Liang Zheng;Yujia Huang;Huchuan Lu;Yi Yang

  • Saliency Detection with Recurrent Fully Convolutional Networks

    Linzhao Wang;Lijun Wang;Huchuan Lu;Pingping Zhang

  • Saliency detection via Cellular Automata

    Yao Qin;Huchuan Lu;Yiqun Xu;He Wang

Frequent Co-Authors

Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Yen-Wei Chen
Yen-Wei Chen Ritsumeikan University
Zhe Lin
Zhe Lin Adobe Systems (United States)
Ali Borji
Ali Borji Quintic AI
Chunhua Shen
Chunhua Shen Zhejiang University
Xiaohui Shen
Xiaohui Shen ByteDance
Michael Felsberg
Michael Felsberg Linköping University
Dawei Du
Dawei Du ByteDance
Longyin Wen
Longyin Wen ByteDance

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