Lihe Yang

According to our database, Lihe Yang authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Depth Anything with Any Prior.

Zehan Wang, Siyu Chen, Lihe Yang, Jialei Wang, Ziang Zhang, Hengshuang Zhao, Zhou Zhao

CoRR, May, 2025

UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation.

Lihe Yang, Zhen Zhao, Hengshuang Zhao

IEEE Trans. Pattern Anal. Mach. Intell., April, 2025

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language.

Zehan Wang, Sashuai Zhou, Shaoxuan He, Haifeng Huang, Lihe Yang, Ziang Zhang, Xize Cheng, Shengpeng Ji, Tao Jin, Hengshuang Zhao, Zhou Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Radar-Infrared Sensor Fusion Based on Hierarchical Features Mining.

Lihe Yang, Wei Feng, Yaojun Wu, Liang Huang, Yinghui Quan

IEEE Signal Process. Lett., 2024

Depth Anything V2.

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data.

Lihe Yang, Bingyi Kang, Zilong Huang, Xiaogang Xu, Jiashi Feng, Hengshuang Zhao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

A Lightweight Clustering Framework for Unsupervised Semantic Segmentation.

Yau Shing Jonathan Cheung, Xi Chen, Lihe Yang, Hengshuang Zhao

CoRR, 2023

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.

Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning.

Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Diverse Cotraining Makes Strong Semi-Supervised Segmentor.

Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation.

Zhen Zhao, Lihe Yang, Sifan Long, Jimin Pi, Luping Zhou, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation.

Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation.

Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.

Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

CoRR, 2021

Mining Latent Classes for Few-shot Segmentation.

Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021