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Ting-I Hsieh

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2020 – today

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2024
[c5]
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  - conf/eccv/LiuCHCL24
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Chieh Liu, Yu-Min Chu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu:
Learning Diffusion Models for Multi-view Anomaly Detection. ECCV (33) 2024: 328-345
2023
[c4]
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  - conf/icml/ChuLHCL23
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Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu:
Shape-Guided Dual-Memory Learning for 3D Anomaly Detection. ICML 2023: 6185-6194
2021
[c3]
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  - conf/aaai/HsiehRCH21
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Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang:
DropLoss for Long-Tail Instance Segmentation. AAAI 2021: 1549-1557
[i2]
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  - journals/corr/abs-2104-06402
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Ting-I Hsieh, Esther Robb, Hwann-Tzong Chen, Jia-Bin Huang:
DropLoss for Long-Tail Instance Segmentation. CoRR abs/2104.06402 (2021)
2020
[c2]
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Ting-I Hsieh, Hwann-Tzong Chen, Chia-Ming Cheng, Yan-Hao Huang:
Hallucinating Scenes. APSIPA 2020: 1075-1080

2010 – 2019

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2019
[c1]
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Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. NeurIPS 2019: 2721-2730
[i1]
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  - journals/corr/abs-1911-12529
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Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen, Tyng-Luh Liu:
One-Shot Object Detection with Co-Attention and Co-Excitation. CoRR abs/1911.12529 (2019)

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