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D-Index & Metrics

Computer Science

D-Index
36
Citations
4899
World Ranking
11340
National Ranking
28

Overview

John See is affiliated with Heriot-Watt University Malaysia in Malaysia. Their research lies primarily within the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Experimental and Cognitive Psychology, Aerospace Engineering, and Environmental Engineering.

Their recent publications cover a variety of topics related to advanced neural networks, video surveillance, and multimodal machine learning. Notable papers include:

  • 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
  • Dress With Style: Learning Style From Joint Deep Embedding of Clothing Styles and Body Shapes, 2020, IEEE Transactions on Multimedia
  • Towards accurate image stitching for drone-based wind turbine blade inspection, 2022, Renewable Energy

The main research themes they focus on include:

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

John See frequently publishes in the following venues:

  • arXiv (Cornell University)
  • Proceedings of the 30th ACM International Conference on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • Engineering Applications of Artificial Intelligence

Their collaborative work involves several frequent coauthors including Weiyao Lin, Huabin Liu, Yuxi Li, Cong Yang, and Ning Xu, with the highest collaboration recorded with Weiyao Lin.

John See's contributions span a substantial number of publications, with a strong specialization in algorithmic development for computer vision and pattern recognition tasks across multiple interdisciplinary areas within engineering and artificial intelligence.

Best Publications

  • Less is more: Micro-expression recognition from video using apex frame

    Sze Teng Liong;John Su Yang See;Kok Sheik Wong;Raphael Chung Wei Phan

  • LBP with Six Intersection Points: Reducing Redundant Information in LBP-TOP for Micro-expression Recognition

    Yandan Wang;John See;Raphael C.-W. Phan;Yee-Hui Oh

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

    Zhiming Chen;Kean Chen;Weiyao Lin;John See

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

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

  • Micro-expression recognition based on 3D flow convolutional neural network

    Jing Li;Yandan Wang;John See;Wenbin Liu

  • MEGC 2019 – The Second Facial Micro-Expressions Grand Challenge

    John See;Moi Hoon Yap;Jingting Li;Xiaopeng Hong

  • Efficient Spatio-Temporal Local Binary Patterns for Spontaneous Facial Micro-Expression Recognition

    Yandan Wang;John See;Raphael C.W. Phan;Yee Hui Oh

  • A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges.

    Yee Hui Oh;John Su Yang See;Anh Cat Le Ngo;Raphael Chung Wei Phan

  • 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

  • TPM: Multiple object tracking with tracklet-plane matching

    Jinlong Peng;Tao Wang;Weiyao Lin;Jian Wang

  • Automatic apex frame spotting in micro-expression database

    Sze-Teng Liong;John See;KokSheik Wong;Anh Cat Le Ngo

  • Subtle Expression Recognition Using Optical Strain Weighted Features

    Sze-Teng Liong;John See;Raphael Chung-Wei Phan;Anh Cat Le Ngo

  • Effective recognition of facial micro-expressions with video motion magnification

    Yandan Wang;John See;Yee-Hui Oh;Raphael C.-W. Phan

  • Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition

    Sze-Teng Liong;Y. S. Gan;John See;Huai-Qian Khor

  • AP-Loss for Accurate One-Stage Object Detection

    Kean Chen;Weiyao Lin;Jianguo Li;John See

  • TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition.

    Shuyuan Li;Huabin Liu;Rui Qian;Yuxi Li

  • Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application

    Anh Cat Le Ngo;John See;Raphael C.-W. Phan

  • Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions

    Anh Cat Le Ngo;Raphael Chung Wei Phan;John See

  • Spontaneous subtle expression detection and recognition based on facial strain

    Sze-Teng Liong;John See;Raphael C.-W. Phan;Yee-Hui Oh

  • Monogenic Riesz wavelet representation for micro-expression recognition

    Yee-Hui Oh;Anh Cat Le Ngo;John See;Sze-Teng Liong

  • Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application

    Anh Cat Le Ngo;John See;Raphael Chung-Wei Phan

Frequent Co-Authors

Weiyao Lin
Weiyao Lin Shanghai Jiao Tong University
Raphael C.-W. Phan
Raphael C.-W. Phan Monash University Malaysia
Ling-Yu Duan
Ling-Yu Duan Peking University
Moi Hoon Yap
Moi Hoon Yap Manchester Metropolitan University
Dietmar Saupe
Dietmar Saupe University of Konstanz
Weisi Lin
Weisi Lin Nanyang Technological University
Feng Wu
Feng Wu University of Science and Technology of China
Hartwig Adam
Hartwig Adam Google (United States)
Shugong Xu
Shugong Xu Shanghai University
Yu Tsao
Yu Tsao Research Center for Information Technology Innovation, Academia Sinica

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