Lihe Yang

According to our database, Lihe Yang authored at least 11 papers between 2021 and 2024.

Collaborative distances:

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

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: Unleashing the Power of Large-Scale Unlabeled Data.

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

CoRR, 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