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Hao-Kang Liu

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2020 – today

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2024
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  - journals/cga/ShenLC24
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I-Chao Shen, Hao-Kang Liu, Bing-Yu Chen:
NeRF-In: Free-Form Inpainting for Pretrained NeRF With RGB-D Priors. IEEE Computer Graphics and Applications 44(2): 100-109 (2024)
2022
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  - journals/corr/abs-2206-04901
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Hao-Kang Liu, I-Chao Shen, Bing-Yu Chen:
NeRF-In: Free-Form NeRF Inpainting with RGB-D Priors. CoRR abs/2206.04901 (2022)
2021
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  - conf/icra/ChangCTLHL21
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Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee:
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. ICRA 2021: 4762-4768
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  - journals/corr/abs-2105-14471
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Chin-Jui Chang, Yu-Wei Chu, Chao-Hsien Ting, Hao-Kang Liu, Zhang-Wei Hong, Chun-Yi Lee:
Reducing the Deployment-Time Inference Control Costs of Deep Reinforcement Learning Agents via an Asymmetric Architecture. CoRR abs/2105.14471 (2021)

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