Ka Leong Cheng

I am a Ph.D. candidate at Visual Intelligence Lab, part of the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). My supervisor is Dr. Qifeng Chen.

I receive my BEng degree in Computer Science and Engineering and BBA degree in General Business Management at the Hong Kong University of Science and Technology (HKUST) in 2020.

Email  /  Google Scholar  /  Github  /  LinkedIn

profile photo

I am interested in low-level vision, computational photography, image compression, and invertibility problems.

Hyperthumbnail: Real-time 6K Image Rescaling with Rate-distortion Optimization
Chenyang Qi*, Xin Yang*, Ka Leong Cheng, Ying-Cong Chen, Qifeng Chen
Computer Vision and Pattern Recognition Conference (CVPR), 2023
arXiv / bibtex

We propose Hyperthumbnail to do image upscaling with learnable frequency-domain quantization and achieve 6K real-time speed with best rate-distortion.

Optimizing Image Compression via Joint Learning with Denoising
Ka Leong Cheng*, Yueqi Xie*, Qifeng Chen
European Conference on Computer Vision (ECCV), 2022
arXiv / bibtex / code

We optimize the image compression methods on noisy images via joint learning with denoising.

IICNet: A Generic Framework for Reversible Image Conversion
Ka Leong Cheng*, Yueqi Xie*, Qifeng Chen
International Conference on Computer Vision (ICCV), 2021
arXiv / bibtex / code / presentation / supp / supp video

We present the first generic framework for various reversible image conversion (RIC) tasks.

Enhanced Invertible Encoding for Learned Image Compression
Yueqi Xie*, Ka Leong Cheng*, Qifeng Chen
ACM International Conference on Multimedia (ACM MM), 2021
Full Oral Presentation (9% acceptance rate)
arXiv / bibtex / code

We present an enhanced Invertible Encoding Network for learned image compression.

Fully Convolutional Networks for Continuous Sign Language Recognition
Ka Leong Cheng, Zhaoyang Yang, Qifeng Chen, Yu-Wing Tai
European Conference on Computer Vision (ECCV), 2020
arXiv / bibtex

We present a fully convolutional network for online sign language recognition (SLR). This work was done during my research intern in Tencent YouTu X-Lab.

  • Junior Research Assistant (supervised by Dr. Qifeng Chen), HKUST, 2020
  • Research Intern (supervised by Dr. Yu-Wing Tai), Tencent YouTu X-Lab, 2019
  • PKU Summer School International, Peking University, 2018
  • Undergraduate Outbound Exchange Program, ETH Z├╝rich, 2018
  • Penn Summer Global Institute, University of Pennsylvania, 2017
Honors and Awards
  • HKUST RedBird Academic Excellence Award for Continuing PhD Students, 2022
  • Hong Kong PhD Fellowship Award, 2021-2024
  • Hong Kong University of Science and Technology Academic Achievement Medal, 2020
  • Technology and Management Elite Student Scholarship, 2019
  • High Fashion Charitable Foundation Exchange Scholarship, 2017
  • Shanghai Commercial Bank Scholarship, 2016
  • University's Scholarship Scheme for Continuing Undergraduate Students, 2016, 2018, 2019
Teaching Assistants
  • COMP 3111: Software Engineering (Fall 2021)
  • COMP 1001: Exploring Multimedia and Internet Computing (Spring 2021)

Thank You ⭐  Dr. Jon Barron