Chen Feng
Scholar

Chen Feng

Google Scholar ID: kWY2QHoAAAAJ
University of Bristol
Video Quality AssessmentVideo CompressionComputer VisionDeep Learning
Citations & Impact
All-time
Citations
201
 
H-index
7
 
i10-index
5
 
Publications
19
 
Co-authors
8
list available
Publications
19 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • First Place in DCC 2024 6th Challenge on Learned Image Compression (CLIC, NR VQA Track); First Prize in IEEE/CVF WACV 2023 HDR VQA Grand Challenge (No Reference Track); First Winner in IEEE MMSP 2024 3rd Practical End-to-end Image/Video Compression Challenge (Track 2); Third Place in the ECCV 2024 AIM Challenge in Efficient Video Super-Resolution (1st in PSNR, 3rd in VMAF and 1st in efficiency); Several papers accepted by IEEE ISCAS 2025, WACV 2025, etc.
Research Experience
  • Completed a six-month Applied Scientist Internship at Amazon Prime Video in Seattle, US in January 2025; Teaching Assistant for MSc unit Augmenting the Real World (AR) starting from January 2023; Teaching Assistant for MSc unit Immersive Interaction and Audio Design (VR) starting from January 2023.
Education
  • PhD student, Visual Information Laboratory, University of Bristol, supervised by Prof. David Bull and Dr. Aaron Zhang, funded by the Amazon Research Awards 2022; MSc (Distinction) in Image and Video Communication and Signal Processing from the University of Bristol, researching on Video Compression with CNN-based Post Processing under the supervision of Prof. David Bull; BEng in Measuring and Control Technology at the School of Automation and Electrical Engineering, University of Science and Technology Beijing, supervised by Prof. Qing Li.
Background
  • Research interests: low-level computer vision, including deep video quality assessment, deep video compression and restoration, and subjective video quality assessment.
Miscellany
  • Personal interests and hobbies not mentioned.