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Yang, Lihe
359  Ergebnisse:
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1

Radar-Infrared Sensor Fusion Based on Hierarchical Features..:

Yang, Lihe ; Feng, Wei ; Wu, Yaojun..
IEEE Signal Processing Letters.  31 (2024)  - p. 66-70 , 2024
Link: https://doi.org/10.1109/..
 
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2

Augmentation Matters: A Simple-Yet-Effective Approach to Se..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Zhao, Zhen ; Yang, Lihe ; Long, Sifan... - p. 11350-11359 , 2023
Link: https://doi.org/10.1109/..
 
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3

Shrinking Class Space for Enhanced Certainty in Semi-Superv..:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Yang, Lihe ; Zhao, Zhen ; Qi, Lei... - p. 16141-16150 , 2023
Link: https://doi.org/10.1109/..
 
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4

Revisiting Weak-to-Strong Consistency in Semi-Supervised Se..:

, In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Yang, Lihe ; Qi, Lei ; Feng, Litong.. - p. 7236-7246 , 2023
Link: https://doi.org/10.1109/..
 
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5

Diverse Cotraining Makes Strong Semi-Supervised Segmentor:

, In: 2023 IEEE/CVF International Conference on Computer Vision (ICCV),
Li, Yijiang ; Wang, Xinjiang ; Yang, Lihe... - p. 16009-16021 , 2023
Link: https://doi.org/10.1109/..
 
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6

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

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),
Yang, Lihe ; Zhuo, Wei ; Qi, Lei.. - p. 4258-4267 , 2022
Link: https://doi.org/10.1109/..
 
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7

Mining Latent Classes for Few-shot Segmentation:

, In: 2021 IEEE/CVF International Conference on Computer Vision (ICCV),
Yang, Lihe ; Zhuo, Wei ; Qi, Lei.. - p. 8701-8710 , 2021
Link: https://doi.org/10.1109/..
 
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8

Test on evaluation method for biodegradability of lubricant:

Yang, Lihe ; Zhu, Yong ; Fan, Guochen..
Transactions of Tianjin University.  14 (2008)  1 - p. 61-65 , 2008
Link: https://doi.org/10.1007/..
 
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9

Depth Anything: Unleashing the Power of Large-Scale Unlabel..:

Yang, Lihe ; Kang, Bingyi ; Huang, Zilong...
http://arxiv.org/abs/2401.10891.  , 2024
Link: http://arxiv.org/abs/240..
 
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10

FreeMask: Synthetic Images with Dense Annotations Make Stro..:

Yang, Lihe ; Xu, Xiaogang ; Kang, Bingyi..
http://arxiv.org/abs/2310.15160.  , 2023
Link: http://arxiv.org/abs/231..
 
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11

A Lightweight Clustering Framework for Unsupervised Semanti..:

Cheung, Yau Shing Jonathan ; Chen, Xi ; Yang, Lihe.
http://arxiv.org/abs/2311.18628.  , 2023
Link: http://arxiv.org/abs/231..
 
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12

Diverse Cotraining Makes Strong Semi-Supervised Segmentor:

Li, Yijiang ; Wang, Xinjiang ; Yang, Lihe...
http://arxiv.org/abs/2308.09281.  , 2023
Link: http://arxiv.org/abs/230..
 
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13

Shrinking Class Space for Enhanced Certainty in Semi-Superv..:

Yang, Lihe ; Zhao, Zhen ; Qi, Lei...
http://arxiv.org/abs/2308.06777.  , 2023
Link: http://arxiv.org/abs/230..
 
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14

Augmentation Matters: A Simple-yet-Effective Approach to Se..:

Zhao, Zhen ; Yang, Lihe ; Long, Sifan...
http://arxiv.org/abs/2212.04976.  , 2022
Link: http://arxiv.org/abs/221..
 
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15

Revisiting Weak-to-Strong Consistency in Semi-Supervised Se..:

Yang, Lihe ; Qi, Lei ; Feng, Litong..
http://arxiv.org/abs/2208.09910.  , 2022
Link: http://arxiv.org/abs/220..
 
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