Biography
I am currently a Research Associate at Imperial College London, working with Dr. Jiankang Deng and Prof. Stefanos Zafeiriou.
Previously, I completed my Ph.D. at the Hong Kong University of Science and Technology under the supervision of Prof. Brian Mak in 2024.
Before that, I received my B.Eng. degree from Special Class for the Gifted Young, University of Science and Technology of China, in 2020.
I was a research intern at Microsoft Research Asia supervised by Fangyun Wei.
My research focuses on sign language processing (recognition/translation/generation), while I am also interested in video understanding and multimodal learning.
News
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[10/2024] Join Imperial College London as a Research Associate!
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[09/2024] One paper is accepted by EMNLP 2024.
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[08/2024] Successfully defended my Ph.D. thesis!
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[07/2024] One paper is accepted by ECCV 2024.
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[02/2024] One paper is accepted by LREC-COLING 2024.
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[01/2024] One paper is accepted by ACM TOMM.
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[02/2023] One paper is accepted by CVPR 2023.
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[09/2022] One paper is accepted by NeurIPS 2022.
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[06/2022] One paper is accepted by Interspeech 2022.
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[04/2022] Start my internship at MSRA!
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[03/2022] One paper is accepted by CVPR 2022.
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[12/2021] Pass my Ph.D. qualifying exam. Now I am a Ph.D. candidate!
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[09/2020] Start my Ph.D. journey at HKUST!
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[07/2020] Finish my undergraduate study at USTC. Memorable 4 years in Hefei!
Publications
(*co-first authors)
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Towards Online Continuous Sign Language Recognition and Translation
Ronglai Zuo, Fangyun Wei, and Brian Mak
Conference on Empirical Methods in Natural Language Processing (EMNLP), Miami, USA, 2024
[pdf]
[code]
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A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars
Ronglai Zuo*, Fangyun Wei*, Zenggui Chen, Brian Mak, Jiaolong Yang, and Xin Tong
European Conference on Computer Vision (ECCV), Milan, Italy, 2024, Oral
[pdf]
[code]
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A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News
Zhe Niu*, Ronglai Zuo*, Brian Mak, and Fangyun Wei
Computational Linguistics, Language Resources and Evaluation (LREC-COLING), Turin, Italy, 2024, Oral
[pdf]
[dataset]
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Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal
Ronglai Zuo and Brian Mak
ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2024
[pdf]
[code]
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Natural Language-Assisted Sign Language Recognition
Ronglai Zuo, Fangyun Wei, and Brian Mak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada, 2023
[pdf]
[code]
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Two-Stream Network for Sign Language Recognition and Translation
Yutong Chen*, Ronglai Zuo*, Fangyun Wei*, Yu Wu, Shujie Liu, and Brian Mak
Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, 2022, Spotlight
[pdf]
[code]
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C2SLR: Consistency-enhanced Continuous Sign Language Recognition
Ronglai Zuo and Brian Mak
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), New Orleans, USA, 2022
[pdf]
[code]
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Local Context-aware Self-attention for Continuous Sign Language Recognition
Ronglai Zuo and Brian Mak
Annual Conference of International Speech Communication Association (Interspeech), Incheon, Korea, 2022
[pdf]
[code]
Awards
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Stars of Tomorrow, Microsoft Research Asia, 2023
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Outstanding Graduate, USTC, 2020
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Outstanding Student, USTC, 2017-2019
Invited Talks
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Vision-Based Sign Language Processing, DERI, Queen Mary University of London, 11/2024
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Vision-Based Sign Language Processing, iBUG Group, Imperial College London, 01/2024
Services
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Conference Reviewer: CVPR, ICCV, ECCV, ACCV, NeurIPS, ICLR, AAAI
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Journal Reviewer: IJCV, TMM, TCSVT, THMS, PR, IPM
Teaching
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TA in COMP2012 Object-Oriented Programming and Data Structures, Fall 2023
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TA in COMP2011 Programming with C++, Spring 2021, Fall 2021
© 2024 Ronglai Zuo. Last updated in 11/2024.