World's Best Scientists 2026 revealed!
Tiejun Huang

Tiejun Huang

D-Index & Metrics

Computer Science

D-Index
61
Citations
14901
World Ranking
3075
National Ranking
413

Research.com Recognitions

  • 2013 - ACM Senior Member

Overview

Tiejun Huang is affiliated with Peking University in China and has contributed extensively to the fields of computer science and engineering. Their body of work encompasses a significant number of publications and collaborations, advancing knowledge particularly in computer vision, neural computing, and related technologies.

The main fields of study for Tiejun Huang include:

  • Computer Science
  • Engineering

Within these disciplines, their work spans several subfields, notably:

  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Cognitive Neuroscience
  • Artificial Intelligence
  • Media Technology

The research topics prominently addressed in their work feature:

  • Advanced Memory and Neural Computing
  • Neural dynamics and brain function
  • CCD and CMOS Imaging Sensors
  • Advanced Vision and Imaging
  • Neural Networks and Applications
  • Neural Networks and Reservoir Computing
  • Advanced Neural Network Applications

Frequent co-authors collaborating with Tiejun Huang include:

  • Zhaofei Yu
  • Yonghong Tian
  • Лей Ма
  • Ruiqin Xiong
  • Jian K. Liu

Common venues for their publications have been:

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

Among recent papers authored or co-authored by Tiejun Huang are:

  • "Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics," 2020, IEEE Transactions on Image Processing
  • "Deep Residual Learning in Spiking Neural Networks," 2021, arXiv (Cornell University)
  • "BDCN: Bi-Directional Cascade Network for Perceptual Edge Detection," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Tiejun Huang was recognized as an ACM Senior Member in 2013.

Best Publications

  • Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling

    Unknown

  • Deep Relative Distance Learning: Tell the Difference between Similar Vehicles

    Hongye Liu;Yonghong Tian;Yaowei Wang;Lu Pang

  • EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

    Unknown

  • Incorporating Learnable Membrane Time Constant To Enhance Learning of Spiking Neural Networks

    Wei Fang;Zhaofei Yu;Yanqi Chen;Timothee Masquelier

  • Speech Emotion Recognition Using Deep Convolutional Neural Network and Discriminant Temporal Pyramid Matching

    Shiqing Zhang;Shiliang Zhang;Tiejun Huang;Wen Gao

  • Unsupervised Cross-Dataset Transfer Learning for Person Re-identification

    Peixi Peng;Tao Xiang;Yaowei Wang;Massimiliano Pontil

  • Bi-Directional Cascade Network for Perceptual Edge Detection

    Jianzhong He;Shiliang Zhang;Ming Yang;Yanhu Shan

  • Learning Affective Features With a Hybrid Deep Model for Audio–Visual Emotion Recognition

    Shiqing Zhang;Shiliang Zhang;Tiejun Huang;Wen Gao

  • Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics

    Lingyu Duan;Jiaying Liu;Wenhan Yang;Tiejun Huang

  • Graph Convolutional Reinforcement Learning

    Jiechuan Jiang;Chen Dun;Tiejun Huang;Zongqing Lu

  • Deep Residual Learning in Spiking Neural Networks

    Wei Fang;Zhaofei Yu;Yanqi Chen;Tiejun Huang

  • Sequential Deep Trajectory Descriptor for Action Recognition With Three-Stream CNN

    Yemin Shi;Yonghong Tian;Yaowei Wang;Tiejun Huang

  • Images Speak in Images: A Generalist Painter for In-Context Visual Learning

    Unknown

  • Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

    Limeng Qiao;Yemin Shi;Jia Li;Yonghong Tian

  • Learning Open Set Network with Discriminative Reciprocal Points

    Guangyao Chen;Limeng Qiao;Yemin Shi;Peixi Peng

  • Single underwater image enhancement with a new optical model

    Haocheng Wen;Yonghong Tian;Tiejun Huang;Wen Gao

  • Vlogging: A survey of videoblogging technology on the web

    Wen Gao;Yonghong Tian;Tiejun Huang;Qiang Yang

  • Multi-Scale 3D Convolution Network for Video Based Person Re-Identification

    Jianing Li;Shiliang Zhang;Tiejun Huang

  • Probabilistic Multi-Task Learning for Visual Saliency Estimation in Video

    Jia Li;Yonghong Tian;Tiejun Huang;Wen Gao

  • Overview of the MPEG-CDVS Standard

    Ling-Yu Duan;Vijay Chandrasekhar;Jie Chen;Jie Lin

  • Exploiting Multi-grain Ranking Constraints for Precisely Searching Visually-similar Vehicles

    Ke Yan;Yonghong Tian;Yaowei Wang;Wei Zeng

  • Background-Modeling-Based Adaptive Prediction for Surveillance Video Coding

    Xianguo Zhang;Tiejun Huang;Yonghong Tian;Wen Gao

  • Multimodal Deep Convolutional Neural Network for Audio-Visual Emotion Recognition

    Shiqing Zhang;Shiliang Zhang;Tiejun Huang;Wen Gao

  • Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks

    Jianhao Ding;Zhaofei Yu;Yonghong Tian;Tiejun Huang

Frequent Co-Authors

Yonghong Tian
Yonghong Tian Peking University
Wen Gao
Wen Gao Peking University
Ling-Yu Duan
Ling-Yu Duan Peking University
Yaowei Wang
Yaowei Wang Peking University
Siwei Ma
Siwei Ma Peking University
Shiqi Wang
Shiqi Wang City University of Hong Kong
Rongrong Ji
Rongrong Ji Xiamen University
Alex C. Kot
Alex C. Kot Nanyang Technological University
Ruiqin Xiong
Ruiqin Xiong Peking University
Qi Tian
Qi Tian Huawei Technologies (China)

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