Kun Yuan
Scholar

Kun Yuan

Google Scholar ID: fCeZ32EAAAAJ
CASIA -> SenseTime -> Kuaishou
Deep LearningComputer Vision
Citations & Impact
All-time
Citations
1,791
 
H-index
14
 
i10-index
19
 
Publications
20
 
Co-authors
14
list available
Resume (English only)
Academic Achievements
  • - Papers Published: ICML 2025, CVPR 2025, ACM MM 2024, ECCV 2024, CVPR 2024, ACM MM 2023, CVPR 2023, CVPR 2022, ICLR 2021, ICCV 2021, ECCV 2020, IJCAI 2018
  • - Technical Talks: NVIDIA GTC 2025, Topic: 'Redefining Visual Experience of Short-form Videos: Accelerating Large Models for Intelligent Video Quality Assessment and Processing by TensorRT-LLM'
  • - Projects: KVQ Video Quality Evaluation System, QPT Series Algorithms, KEP/KRP Video Processing Algorithms, XPSR/VARSR Enhancement Algorithms, AI Infrastructure Optimization
Research Experience
  • - Since 2021: Kuaishou Technology, R&D Expert, focusing on enhancing the overall video quality and user experience through algorithms
  • - 2018-2021: SenseTime Research, Computer Vision and Machine Learning Researcher, improving the accuracy of face recognition and classification in smart city scenarios
Education
  • - Master's Degree: National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences, 2018
  • - Bachelor's Degree: Beijing University of Posts and Telecommunications (BUPT), 2015
Background
  • - Research Interests: Visual Content Generation, Video Quality Assessment, Video Enhancement and Restoration, AI Infrastructure
  • - Professional Field: Artificial Intelligence and Computer Vision
  • - Short Bio: Currently a Research & Development Expert at Kuaishou Technology, committed to analyzing and improving the quality of Kuaishou videos and enhancing users' experience in live and on-demand scenarios.
Miscellany
  • - Personal Interests: Not provided