Követés
Lihe Yang
Lihe Yang
E-mail megerősítve itt: cs.hku.hk - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
L Yang, B Kang, Z Huang, X Xu, J Feng, H Zhao
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
5902024
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
L Yang, W Zhuo, L Qi, Y Shi, Y Gao
Conference on Computer Vision and Pattern Recognition (CVPR), 2022
4342022
Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation
L Yang, L Qi, L Feng, W Zhang, Y Shi
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
3192023
Depth Anything V2
L Yang, B Kang, Z Huang, Z Zhao, X Xu, J Feng, H Zhao
Conference on Neural Information Processing Systems (NeurIPS), 2024
2082024
Mining Latent Classes for Few-shot Segmentation
L Yang, W Zhuo, L Qi, Y Shi, Y Gao
International Conference on Computer Vision (ICCV) (Oral), 2021
1532021
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation
Z Zhao, L Yang, S Long, J Pi, L Zhou, J Wang
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
95*2023
FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models
L Yang, X Xu, B Kang, Y Shi, H Zhao
Conference on Neural Information Processing Systems (NeurIPS), 2023
462023
Diverse Cotraining Makes Strong Semi-Supervised Segmentor
Y Li, X Wang, L Yang, L Feng, W Zhang, Y Gao
International Conference on Computer Vision (ICCV), 2023
222023
Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning
L Yang, Z Zhao, L Qi, Y Qiao, Y Shi, H Zhao
International Conference on Computer Vision (ICCV), 2023
202023
UniMatch V2: Pushing the Limit of Semi-Supervised Semantic Segmentation
L Yang, Z Zhao, H Zhao
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
32025
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