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Computer Science

D-Index
46
Citations
9380
World Ranking
6809
National Ranking
914

Overview

Weiyao Lin is primarily affiliated with Shanghai Jiao Tong University in China. Their research domain is situated within computer science, with a particular focus on computer vision and pattern recognition. Their scholarly contributions encompass related subfields such as artificial intelligence, signal processing, aerospace engineering, and cognitive neuroscience.

The scientist's research addresses a variety of topics within computer vision and machine learning. Key areas of their work include:

  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Anomaly Detection Techniques and Applications
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging

Weiyao Lin has published extensively in several venues, with a notable number of publications appearing in:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some of their recent papers include:

  • Spatial-Temporal Transformer Networks for Traffic Flow Forecasting, 2020, arXiv (Cornell University)
  • TPM: Multiple Object Tracking with Tracklet-Plane Matching, 2020, Pattern Recognition
  • AP-Loss for Accurate One-Stage Object Detection, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • TA2N: Two-Stage Action Alignment Network for Few-Shot Action Recognition, 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching, 2020, arXiv (Cornell University)

Frequent collaboration is evident with a set of coauthors, including:

  • John See
  • Huabin Liu
  • Yuxi Li
  • Ning Xu
  • Rui Qian

In addition to journal and conference contributions, Weiyao Lin has published books with Morgan & Claypool Publishers. These works cover:

  • Video Object Tracking (2023)
  • Video Object Segmentation (2023)

Best Publications

  • ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

    Jian-Hao Luo;Jianxin Wu;Weiyao Lin

  • The Visual Object Tracking VOT2014 challenge results

    Matej Kristan;Roman P. Pflugfelder;Ales Leonardis;Jiri Matas

  • Picking Deep Filter Responses for Fine-Grained Image Recognition

    Xiaopeng Zhang;Hongkai Xiong;Wengang Zhou;Weiyao Lin

  • PIoU Loss: Towards Accurate Oriented Object Detection in Complex Environments

    Zhiming Chen;Kean Chen;Weiyao Lin;John See

  • ThiNet: Pruning CNN Filters for a Thinner Net

    Jian-Hao Luo;Hao Zhang;Hong-Yu Zhou;Chen-Wei Xie

  • Spatial-Temporal Transformer Networks for Traffic Flow Forecasting.

    Mingxing Xu;Wenrui Dai;Chunmiao Liu;Xing Gao

  • Enriched Long-Term Recurrent Convolutional Network for Facial Micro-Expression Recognition

    Huai-Qian Khor;John See;Raphael Chung Wei Phan;Weiyao Lin

  • A Short Survey of Recent Advances in Graph Matching

    Junchi Yan;Xu-Cheng Yin;Weiyao Lin;Cheng Deng

  • Person Re-Identification with Correspondence Structure Learning

    Yang Shen;Weiyao Lin;Junchi Yan;Mingliang Xu

  • Human activity recognition for video surveillance

    Weiyao Lin;Ming-Ting Sun;R. Poovandran;Zhengyou Zhang

  • Survey on blind image forgery detection

    Tanzeela Qazi;Khizar Hayat;Samee U. Khan;Sajjad A. Madani

  • Multiple Sound Sources Localization from Coarse to Fine

    Rui Qian;Di Hu;Heinrich Dinkel;Mengyue Wu

  • Dual-stream Shallow Networks for Facial Micro-expression Recognition

    Huai-Qian Khor;John See;Sze-Teng Liong;Raphael C. W. Phan

  • Towards Accurate One-Stage Object Detection With AP-Loss

    Kean Chen;Jianguo Li;Weiyao Lin;John See

  • Deep Color Guided Coarse-to-Fine Convolutional Network Cascade for Depth Image Super-Resolution

    Yang Wen;Bin Sheng;Ping Li;Weiyao Lin

  • Deep Neural Network Compression With Single and Multiple Level Quantization

    Yuhui Xu;Yongzhuang Wang;Aojun Zhou;Weiyao Lin

  • TPM: Multiple object tracking with tracklet-plane matching

    Jinlong Peng;Tao Wang;Weiyao Lin;Jian Wang

  • Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching

    Di Hu;Rui Qian;Minyue Jiang;Xiao Tan

  • Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages

    Yuxi Li;Jiuwei Li;Weiyao Lin;Jianguo Li

  • Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVC

    Weiyao Lin;Xiaoyi He;Xintong Han;Dong Liu

  • A New Algorithm for Inferring User Search Goals with Feedback Sessions

    Zheng Lu;Hongyuan Zha;Xiaokang Yang;Weiyao Lin

  • Picking Deep Filter Responses for Fine-Grained Image Recognition (Open Access Author's Manuscript)

    Xiaopeng Zhang;Hongkai Xiong;Wengang Zhou;Weiyao Lin

Frequent Co-Authors

John See
John See Heriot-Watt University Malaysia
Jianxin Wu
Jianxin Wu Nanjing University
Xiaokang Yang
Xiaokang Yang Shanghai Jiao Tong University
Ming-Ting Sun
Ming-Ting Sun University of Washington
Jingdong Wang
Jingdong Wang Baidu (China)
Junchi Yan
Junchi Yan Shanghai Jiao Tong University
Zhenzhong Chen
Zhenzhong Chen Wuhan University
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Qi Tian
Qi Tian Huawei Technologies (China)
Zhengyou Zhang
Zhengyou Zhang Tencent (China)

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