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2020 – today
- 2025
[j2]Chunjiang Ge
, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. IEEE Trans. Neural Networks Learn. Syst. 36(1): 1160-1170 (2025)- 2024
- [i12]Zihang Lai:
Exploring Simple Open-Vocabulary Semantic Segmentation. CoRR abs/2401.12217 (2024) - 2023
- [j1]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [c10]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CVPR 2022: 20030-20040 - [c9]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning Where to See with Uncertainty Estimation. ECCV (33) 2022: 230-246 - [c8]Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang:
Learning to Weight Samples for Dynamic Early-Exiting Networks. ECCV (11) 2022: 362-378 - [i11]Chunjiang Ge, Rui Huang, Mixue Xie, Zihang Lai, Shiji Song, Shuang Li, Gao Huang:
Domain Adaptation via Prompt Learning. CoRR abs/2202.06687 (2022) - [i10]Zhirong Wu, Zihang Lai, Xiao Sun, Stephen Lin:
Extreme Masking for Learning Instance and Distributed Visual Representations. CoRR abs/2206.04667 (2022) - [i9]Yizeng Han, Yifan Pu, Zihang Lai, Chaofei Wang, Shiji Song, Junfen Cao, Wenhui Huang, Chao Deng, Gao Huang:
Learning to Weight Samples for Dynamic Early-exiting Networks. CoRR abs/2209.08310 (2022) - [i8]Xuran Pan, Zihang Lai, Shiji Song, Gao Huang:
ActiveNeRF: Learning where to See with Uncertainty Estimation. CoRR abs/2209.08546 (2022) - 2021
- [c7]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. ICCV 2021: 9710-9720 - [c6]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. ICCV 2021: 15752-15761 - [i7]Zihang Lai, Senthil Purushwalkam, Abhinav Gupta:
The Functional Correspondence Problem. CoRR abs/2109.01097 (2021) - [i6]Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang:
Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. CoRR abs/2110.02951 (2021) - [i5]Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang:
AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. CoRR abs/2112.14238 (2021) - 2020
- [c5]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-Supervised Tracker. CVPR 2020: 6478-6487 - [i4]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-supervised Tracker. CoRR abs/2002.07793 (2020)
2010 – 2019
- 2019
- [c4]Zihang Lai, Weidi Xie:
Self-supervised Video Representation Learning for Correspondence Flow. BMVC 2019: 299 - [c3]Junwen Bai, Zihang Lai, Runzhe Yang, Yexiang Xue, John M. Gregoire, Carla P. Gomes:
Imitation Refinement for X-ray Diffraction Signal Processing. ICASSP 2019: 3337-3341 - [c2]Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger:
Anytime Stereo Image Depth Estimation on Mobile Devices. ICRA 2019: 5893-5900 - [i3]Zihang Lai, Weidi Xie:
Self-supervised Learning for Video Correspondence Flow. CoRR abs/1905.00875 (2019) - 2018
- [c1]Bo Yang, Zihang Lai, Xiaoxuan Lu, Shuyu Lin, Hongkai Wen, Andrew Markham, Niki Trigoni:
Learning 3D Scene Semantics and Structure From a Single Depth Image. CVPR Workshops 2018: 309-312 - [i2]Zhihua Wang, Stefano Rosa, Yishu Miao, Zihang Lai, Linhai Xie, Andrew Markham, Niki Trigoni:
Neural Allocentric Intuitive Physics Prediction from Real Videos. CoRR abs/1809.03330 (2018) - [i1]Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger:
Anytime Stereo Image Depth Estimation on Mobile Devices. CoRR abs/1810.11408 (2018)
Coauthor Index
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