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Tsung-Lin Tsou

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2020 – today

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2024
[c3]
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  - conf/icra/TsouWH24
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Tsung-Lin Tsou, Tsung-Han Wu, Winston H. Hsu:
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection. ICRA 2024: 18214-18220
2023
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  - journals/corr/abs-2310-03821
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Tsung-Lin Tsou, Tsung-Han Wu, Winston H. Hsu:
WLST: Weak Labels Guided Self-training for Weakly-supervised Domain Adaptation on 3D Object Detection. CoRR abs/2310.03821 (2023)
2022
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Tsung-Lin Tsou, Chung-Wei Lin, Iris Hui-Ru Jiang:
Deadlock Analysis and Prevention for Intersection Management Based on Colored Timed Petri Nets. DATE 2022: 124-127
2021
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  - conf/cvpr/HuangLWSCTWH21
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Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu:
S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. CVPR 2021: 16706-16716
[i1]
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  - journals/corr/abs-2103-02396
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Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu:
S³: Learnable Sparse Signal Superdensity for Guided Depth Estimation. CoRR abs/2103.02396 (2021)

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