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Ziwei Liu 刘子纬

Assistant Professor

School of Computer Science and Engineering

Nanyang Technological University

Email: ziwei.liu at ntu.edu.sg

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Short Bio

Prof. Ziwei Liu is a Nanyang Assistant Professor at School of Computer Science and Engineering (SCSE) in Nanyang Technological University, with MMLab@NTU. Previously, he was a research fellow (2018-2020) in CUHK (with Prof. Dahua Lin) and a post-doc researcher (2017-2018) in UC Berkeley (with Prof. Stella X. Yu). His research interests include computer vision, machine learning and computer graphics.

Ziwei received his Ph.D. (2013-2017) from CUHK / Multimedia Lab, advised by Prof. Xiaoou Tang and Prof. Xiaogang Wang. He is fortunate to have internships at Microsoft Research and Google Research.

His works include Burst Denoising, CelebA, DeepFashion, Fashion Landmarks, DeepMRF, Voxel Flow, Long-Tailed Recognition, and Compound Domain Adaptation.

His works have been transferred to products, including Microsoft Pix, SenseGo, and Google Clips.

News [Twitter]

[2021-08] Invited talk (slides) at AI Technology Summer School 2021.

[2021-07] 7 papers accepted to ICCV 2021.

[2021-07] We are hosting MVP and ForgeryNet Challenge.

[2021-06] We are organizing ICCV 2021 SenseHuman Workshop.

[2021-03] 10 papers accepted to CVPR 2021 (3 orals and 7 posters).

[2021-01] 2 papers accepted to ICLR 2021 (1 oral and 1 spotlight).

[2020-11] Senior Program Committee for AAAI 2021 and Area Chair for ICCV 2021.

[2020-10] Invited talk (slides) at ACM MM 2020 workshop on Human-Centric Multimedia Analysis.

[2020-09] Associate Editor for IET Computer Vision.

[2020-08] We are hosting DeeperForensics and CelebA-Spoof Challenge.

[2020-06] We are organizing ECCV 2020 SenseHuman Workshop.

[2020-06] We have released OpenSelfSup Toolbox v0.1.

[2020-06] We won the first place in Video Virtual Try-on Challenge.

[2020-05] 6 papers accepted to ECCV 2020 (1 spotlight and 5 posters).

[2020-03] Guest Editor for Frontiers in Robotics and AI.

[2020-03] 6 papers accepted to CVPR 2020 (2 orals and 4 posters).