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Computer Science

D-Index
34
Citations
5517
World Ranking
12104
National Ranking
4928

Overview

Sen-ching S. Cheung is affiliated with the University of Kentucky in the United States and specializes in computer science with a focus on computer vision and pattern recognition. Their research spans multiple subfields including artificial intelligence, human-computer interaction, cognitive neuroscience, and radiology, nuclear medicine, and imaging.

The scientist's work covers several major topics in the field of computer vision and medical imaging. These topics include:

  • AI in cancer detection
  • Video surveillance and tracking methods
  • Human pose and action recognition
  • Hand gesture recognition systems
  • Digital imaging for blood diseases
  • Medical image segmentation techniques
  • Advanced image and video retrieval techniques

Sen-ching S. Cheung has contributed to various publication venues, notably:

  • arXiv (Cornell University)
  • Signal Processing Image Communication
  • International Journal of Computer Vision
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • IEEE Consumer Electronics Magazine

Recent papers authored or co-authored by Sen-ching S. Cheung include:

  • "Predicting ASD diagnosis in children with synthetic and image-based eye gaze data" (2021), published in Signal Processing Image Communication
  • "Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based Neural Network with Dilated Convolutions" (2021), published in International Journal of Computer Vision
  • "Tracking Attacks on Virtual Reality Systems" (2020), published in IEEE Consumer Electronics Magazine
  • "A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues" (2021), published in the 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • "BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis" (2022), published in IEEE Access

Throughout their research career, Sen-ching S. Cheung has collaborated frequently with several co-authors, including:

  • Chen-Nee Chuah
  • Zhengfeng Lai
  • Brittany N. Dugger
  • Sally Ozonoff
  • Ruixu Liu

Best Publications

  • Robust techniques for background subtraction in urban traffic video

    Sen-ching S. Cheung;Chandrika Kamath

  • Robust background subtraction with foreground validation for urban traffic video

    Sen-Ching S. Cheung;Chandrika Kamath

  • Efficient video similarity measurement with video signature

    S.-S. Cheung;A. Zakhor

  • Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction

    Ruixu Liu;Ju Shen;He Wang;Chen Chen

  • Video postfiltering with motion-compensated temporal filtering and/or spatial-adaptive filtering

    Sen-ching S. Cheung;David Drizen;Paul E. Haskell

  • Hiding privacy information in video surveillance system

    Wei Zhang;S.S. Cheung;Minghua Chen

  • Layer Depth Denoising and Completion for Structured-Light RGB-D Cameras

    Ju Shen;Sen-Ching S. Cheung

  • Universal Multimode Background Subtraction

    Hasan Sajid;Sen-Ching Samson Cheung

  • Fast similarity search and clustering of video sequences on the world-wide-web

    S.-S. Cheung;A. Zakhor

  • Block Matching for Object Tracking

    A Gyaourova;C Kamath;S Cheung

  • Efficient object-based video inpainting

    M. Vijay Venkatesh;Sen-ching Samson Cheung;Jian Zhao

  • Efficient Object-Based Video Inpainting

    S. C. S. Cheung;J. Zhao;M. V. Venkatesh

  • Background subtraction for static & moving camera

    Hasan Sajid;Sen-Ching Samson Cheung

  • Optimal Camera Network Configurations for Visual Tagging

    Jian Zhao;Sen-Ching Cheung;Thinh Nguyen

  • Peer-to-Peer Streaming with Hierarchical Network Coding

    K. Nguyen;Thinh Nguyen;Sen-ching Cheung

  • Approximate Techniques in Solving Optimal Camera Placement Problems

    Jian Zhao;Ruriko Yoshida;Sen-ching Samson Cheung;David Haws

  • Video Streaming with Network Coding

    Kien Nguyen;Thinh Nguyen;Sen-Ching Cheung

  • People Counting in Dense Crowd Images Using Sparse Head Detections

    Mamoona Birkhez Shami;Salman Maqbool;Hasan Sajid;Yasar Ayaz

  • Virtual Mirror Rendering With Stationary RGB-D Cameras and Stored 3-D Background

    Ju Shen;Po-Chang Su;S. S. Cheung;Jian Zhao

  • Efficient video similarity measurement and search

    S.-C.S. Cheung;A. Zakhor

Frequent Co-Authors

Avideh Zakhor
Avideh Zakhor University of California, Berkeley
Chen-Nee Chuah
Chen-Nee Chuah University of California, Davis
Vijayan K. Asari
Vijayan K. Asari University of Dayton
Karl Aberer
Karl Aberer École Polytechnique Fédérale de Lausanne
Srikantan S. Nagarajan
Srikantan S. Nagarajan University of California, San Francisco
Charles DeCarli
Charles DeCarli University of California, Davis
Sally J Ozonoff
Sally J Ozonoff University of California, Davis
Deepa Kundur
Deepa Kundur University of Toronto
Zhi Ding
Zhi Ding University of California, Davis
Minghua Chen
Minghua Chen City University of Hong Kong

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