Lihe Yang

I am a second-year PhD student at The University of Hong Kong, fortunately supervised by Prof. Hengshuang Zhao.

I received my Bachelor and Master degree from Nanjing University in 2020 and 2023 respectively, fortunately supervised by Prof. Yinghuan Shi.

My current research focuses on vision foundation model and vision-language model. Previously, I worked on learning from cheap visual data.

Email / Google Scholar / GitHub

News

2024-09: Depth Anything is selected as the 5th most influential paper in CVPR 2024.

2024-09: Depth Anything V2 is accepted by NeurIPS 2024 and integrated into Apple Core ML Models.

2024-02: Depth Anything is accepted by CVPR 2024.

2023-09: One paper on generative perception is accepted by NeurIPS 2023.

2023-09: I start at HKU as a PhD student.

2023-07: Two papers on semi-supervised learning and semantic segmentation are accepted by ICCV 2023.

2023-02: Two papers on semi-supervised semantic segmentation are accepted by CVPR 2023.

2023-02: I am awarded the HKU Presidential PhD Scholarship.

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Selected Publications

	Depth Anything V2 Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao Conference on Neural Information Processing Systems (NeurIPS), 2024 Page / Paper / Code / Demo / Media
	Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024 Most Influential Papers / Best Demo Honorable Mention Page / Paper / Code / Demo / Media
	FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao Conference on Neural Information Processing Systems (NeurIPS), 2023 Paper / Code / Zhihu
	Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao IEEE International Conference on Computer Vision (ICCV), 2023 Paper / Code / Zhihu
	Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023 Paper / Code / Zhihu
	ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Paper / Code / Zhihu
	Mining Latent Classes for Few-shot Segmentation Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao IEEE International Conference on Computer Vision (ICCV), 2021 (Oral) Paper / Code