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

Research

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.

Experiences

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 Zürich, 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 ⭐