Zihang Lai

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Gao Huang （黄高）Associate Professor, Tsinghua UniversityVerified email at tsinghua.edu.cn
Weidi XieShanghai Jiao Tong University | VGG, University of OxfordVerified email at robots.ox.ac.uk
Yan WangSenior Research Scientist, NVIDIA ResearchVerified email at nvidia.com
Laurens van der MaatenDistinguished Research Scientist, Llama Team, Meta AIVerified email at meta.com
Kilian WeinbergerCornell UniversityVerified email at cornell.edu
Erika LuGoogle ResearchVerified email at google.com
Sifei LiuNVIDIAVerified email at nvidia.com
Alexei A. EfrosDept. of Electrical Engineering and Computer Sciences, UC BerkeleyVerified email at eecs.berkeley.edu
Xiaolong WangAssistant Professor, UC San DiegoVerified email at ucsd.edu
Andrew MarkhamDepartment of Computer Science, University of OxfordVerified email at cs.ox.ac.uk
Niki TrigoniUniversity of OxfordVerified email at cs.ox.ac.uk
Senthil PurushwalkamSalesforce AI ResearchVerified email at salesforce.com
Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu

Zihang Lai

University of Oxford

Verified email at andrew.cmu.edu

Computer Vision Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Anytime stereo image depth estimation on mobile devices Y Wang, Z Lai, G Huang, BH Wang, L van der Maaten, M Campbell, ... International Conference on Robotics and Automation (ICRA) 2019, 2018	234	2018
MAST: A Memory-Augmented Self-supervised Tracker Z Lai, E Lu, W Xie Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020	217	2020
Domain adaptation via prompt learning C Ge, R Huang, M Xie, Z Lai, S Song, S Li, G Huang IEEE Transactions on Neural Networks and Learning Systems, 2023	166	2023
Self-supervised Learning for Video Correspondence Flow Z Lai, W Xie British Machine Vision Conference (BMVC) 2019, 2019	158	2019
Activenerf: Learning where to see with uncertainty estimation X Pan, Z Lai, S Song, G Huang European Conference on Computer Vision, 230-246, 2022	91	2022
Adafocus v2: End-to-end training of spatial dynamic networks for video recognition Y Wang, Y Yue, Y Lin, H Jiang, Z Lai, V Kulikov, N Orlov, H Shi, G Huang 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2022	56	2022
Learning to weight samples for dynamic early-exiting networks Y Han, Y Pu, Z Lai, C Wang, S Song, J Cao, W Huang, C Deng, G Huang European conference on computer vision, 362-378, 2022	51	2022
Video Autoencoder: Self-Supervised Disentanglement of Static 3D Structure and Motion Z Lai, S Liu, AA Efros, X Wang International Conference on Computer Vision (ICCV), 2021, 2021	39	2021
Extreme masking for learning instance and distributed visual representations Z Wu, Z Lai, X Sun, S Lin Transactions on Machine Learning Research (TMLR), 2022	20	2022
The Functional Correspondence Problem Z Lai, S Purushwalkam, A Gupta International Conference on Computer Vision (ICCV), 2021, 2021	13	2021
Learning 3D scene semantics and structure from a single depth image B Yang, Z Lai, X Lu, S Lin, H Wen, A Markham, N Trigoni Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018	8	2018
Imitation refinement for x-ray diffraction signal processing J Bai, Z Lai, R Yang, Y Xue, J Gregoire, C Gomes ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019	6*	2019
Neural allocentric intuitive physics prediction from real videos Z Wang, S Rosa, Y Miao, Z Lai, L Xie, A Markham, N Trigoni arXiv preprint arXiv:1809.03330, 2018	3	2018
Exploring Simple Open-Vocabulary Semantic Segmentation Z Lai arXiv preprint arXiv:2401.12217, 2024	1	2024

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