Mining Latent Classes for Few-shot Segmentation. - Lihe Yang; Wei Zhuo; Lei Qi 001; Yinghuan Shi; Yang Gao 001 (ICCV, 2021)

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. - Lihe Yang; Wei Zhuo; Lei Qi 001; Yinghuan Shi; Yang Gao 001 (CoRR, 2021)

ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. - Lihe Yang; Wei Zhuo; Lei Qi 001; Yinghuan Shi; Yang Gao 001 (CVPR, 2022)

Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. - Lihe Yang; Lei Qi 001; Litong Feng; Wayne Zhang 001; Yinghuan Shi (CVPR, 2023)

Augmentation Matters: A Simple-Yet-Effective Approach to Semi-Supervised Semantic Segmentation. - Zhen Zhao 001; Lihe Yang; Sifan Long; Jimin Pi; Luping Zhou; Jingdong Wang 001 (CVPR, 2023)

Diverse Cotraining Makes Strong Semi-Supervised Segmentor. - Yijiang Li; Xinjiang Wang; Lihe Yang; Litong Feng; Wayne Zhang 001; Ying Gao 004 (ICCV, 2023)

Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. - Lihe Yang; Zhen Zhao 001; Lei Qi 001; Yu Qiao 001; Yinghuan Shi; Hengshuang Zhao (ICCV, 2023)

FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. - Lihe Yang; Xiaogang Xu 002; Bingyi Kang; Yinghuan Shi; Hengshuang Zhao (NeurIPS, 2023)

A Lightweight Clustering Framework for Unsupervised Semantic Segmentation. - Yau Shing Jonathan Cheung; Xi Chen; Lihe Yang; Hengshuang Zhao (CoRR, 2023)

Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. - Lihe Yang; Bingyi Kang; Zilong Huang; Xiaogang Xu 002; Jiashi Feng; Hengshuang Zhao (CVPR, 2024)

Depth Anything V2. - Lihe Yang; Bingyi Kang; Zilong Huang; Zhen Zhao 001; Xiaogang Xu 002; Jiashi Feng; Hengshuang Zhao (NeurIPS, 2024)

Radar-Infrared Sensor Fusion Based on Hierarchical Features Mining. - Lihe Yang; Wei Feng 004; Yaojun Wu 002; Liang Huang; Yinghui Quan (IEEE Signal Process. Lett., 2024)

SpatialCLIP: Learning 3D-aware Image Representations from Spatially Discriminative Language. - Zehan Wang 001; Sashuai Zhou; Shaoxuan He; Haifeng Huang; Lihe Yang; Ziang Zhang; Xize Cheng; Shengpeng Ji; Tao Jin 004; Hengshuang Zhao; Zhou Zhao 001 (CVPR, 2025)

UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation. - Lihe Yang; Zhen Zhao 001; Hengshuang Zhao (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Depth Anything with Any Prior. - Zehan Wang 001; Siyu Chen; Lihe Yang; Jialei Wang; Ziang Zhang; Hengshuang Zhao; Zhou Zhao 001 (CoRR, 2025)