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Computer Science

D-Index
36
Citations
7327
World Ranking
11082
National Ranking
1364

Overview

Haizhou Ai is affiliated with Tsinghua University in China and works primarily in the field of Computer Science. Their research focuses extensively on Computer Vision and Pattern Recognition, with contributions also in Signal Processing and Artificial Intelligence.

The main topics addressed in their work include:

  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Face Recognition and Analysis
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques
  • Video Coding and Compression Technologies
  • Image and Video Stabilization

Haizhou Ai has published papers in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Proceedings of the AAAI Conference on Artificial Intelligence

Selected recent publications include:

  • "Camera-Based Batch Normalization: An Effective Distribution Alignment Method for Person Re-Identification," 2021, IEEE Transactions on Circuits and Systems for Video Technology
  • "Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS," 2020, arXiv (Cornell University)
  • "Rethinking the Distribution Gap of Person Re-identification with Camera-based Batch Normalization," 2020, arXiv (Cornell University)
  • "Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model," 2024, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Multi-Task Learning via Co-Attentive Sharing for Pedestrian Attribute Recognition," 2020, arXiv (Cornell University)

Frequent collaborators in their research include Zijie Zhuang, Longhui Wei, Lingxi Xie, Qi Tian, and Haozhe Wu.

Best Publications

  • Real-Time Multiple People Tracking with Deeply Learned Candidate Selection and Person Re-Identification

    Long Chen;Haizhou Ai;Zijie Zhuang;Chong Shang

  • Fast rotation invariant multi-view face detection based on real Adaboost

    Bo Wu;Haizhou Ai;Chang Huang;Shihong Lao

  • High-Performance Rotation Invariant Multiview Face Detection

    Chang Huang;Haizhou Ai;Yuan Li;Shihong Lao

  • Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans

    Yuan Li;Haizhou Ai;T. Yamashita;Shihong Lao

  • Demographic classification with local binary patterns

    Zhiguang Yang;Haizhou Ai

  • Multi-object tracking through occlusions by local tracklets filtering and global tracklets association with detection responses

    Junliang Xing;Haizhou Ai;Shihong Lao

  • Vector boosting for rotation invariant multi-view face detection

    Chang Huang;Haizhou Ai;Yuan Li;Shihong Lao

  • Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans

    Yuan Li;Haizhou Ai;T. Yamashita;Shihong Lao

  • Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method

    Feng Gao;Haizhou Ai

  • End-to-end crowd counting via joint learning local and global count

    Chong Shang;Haizhou Ai;Bo Bai

  • Real time facial expression recognition with AdaBoost

    Yubo Wang;Haizhou Ai;Bo Wu;Chang Huang

  • Rethinking the Distribution Gap of Person Re-identification with Camera-Based Batch Normalization

    Zijie Zhuang;Longhui Wei;Longhui Wei;Lingxi Xie;Tianyu Zhang

  • Boosting nested cascade detector for multi-view face detection

    Chang Huang;Haizhou Al;Bo Wu;Shihong Lao

  • Multiple Player Tracking in Sports Video: A Dual-Mode Two-Way Bayesian Inference Approach With Progressive Observation Modeling

    Junliang Xing;Haizhou Ai;Liwei Liu;Shihong Lao

  • Online multi-object tracking with convolutional neural networks

    Long Chen;Haizhou Ai;Chong Shang;Zijie Zhuang

  • An Experimental Study on Automatic Face Gender Classification

    Zhiguang Yang;Ming Li;Haizhou Ai

  • Face Gender Classification on Consumer Images in a Multiethnic Environment

    Wei Gao;Haizhou Ai

  • Adaptive Contour Features in oriented granular space for human detection and segmentation

    Wei Gao;Haizhou Ai;Shihong Lao

  • LUT-based Adaboost for gender classification

    Bo Wu;Haizhou Ai;Chang Huang

  • Learning object intrinsic structure for robust visual tracking

    Qiang Wang;Guangyou Xu;Haizhou Ai

  • Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS

    Long Chen;Haizhou Ai;Rui Chen;Zijie Zhuang

Frequent Co-Authors

Shihong Lao
Shihong Lao SenseTime
Chang Huang
Chang Huang Horizon Robotics Inc.
Junliang Xing
Junliang Xing Tsinghua University
Lingxi Xie
Lingxi Xie Huawei Technologies (China)
Qi Tian
Qi Tian Huawei Technologies (China)
Serge Belongie
Serge Belongie University of Copenhagen
Weiming Hu
Weiming Hu Chinese Academy of Sciences
Shuicheng Yan
Shuicheng Yan National University of Singapore
David J. Kriegman
David J. Kriegman University of California, San Diego

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