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2020 – today
- 2024
[c12]An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang:
TUVF: Learning Generalizable Texture UV Radiance Fields. ICLR 2024- [i8]An-Chieh Cheng, Hongxu Yin, Yang Fu, Qiushan Guo, Ruihan Yang, Jan Kautz, Xiaolong Wang, Sifei Liu:
SpatialRGPT: Grounded Spatial Reasoning in Vision Language Model. CoRR abs/2406.01584 (2024) - 2023
- [i7]An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang:
TUVF: Learning Generalizable Texture UV Radiance Fields. CoRR abs/2305.03040 (2023) - 2022
- [c11]An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang:
Autoregressive 3D Shape Generation via Canonical Mapping. ECCV (3) 2022: 89-104 - [i6]An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang:
Autoregressive 3D Shape Generation via Canonical Mapping. CoRR abs/2204.01955 (2022) - 2021
- [c10]An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu:
Learning 3D Dense Correspondence via Canonical Point Autoencoder. NeurIPS 2021: 6608-6620 - [i5]An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu:
Learning 3D Dense Correspondence via Canonical Point Autoencoder. CoRR abs/2107.04867 (2021) - 2020
- [c9]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-Aware Neural Architecture Search. AAAI 2020: 3577-3584 - [c8]Hung-Jen Chen, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization. NeurIPS 2020
2010 – 2019
- 2019
- [c7]An-Chieh Cheng, Chia-Ping Chen:
即時中文語音合成系統(Real-Time Mandarin Speech Synthesis System). ROCLING 2019: 256-265 - 2018
- [c6]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-Aware Progressive Search for Pareto-Optimal Neural Architectures. ECCV (11) 2018: 540-555 - [c5]Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee:
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. ECCV Workshops (2) 2018: 571-581 - [c4]An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Searching toward pareto-optimal device-aware neural architectures. ICCAD 2018: 136 - [c3]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
PPP-Net: Platform-aware Progressive Search for Pareto-optimal Neural Architectures. ICLR (Workshop) 2018 - [i4]Jin-Dong Dong, An-Chieh Cheng, Da-Cheng Juan, Wei Wei, Min Sun:
DPP-Net: Device-aware Progressive Search for Pareto-optimal Neural Architectures. CoRR abs/1806.08198 (2018) - [i3]An-Chieh Cheng, Jin-Dong Dong, Chi-Hung Hsu, Shu-Huan Chang, Min Sun, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan:
Searching Toward Pareto-Optimal Device-Aware Neural Architectures. CoRR abs/1808.09830 (2018) - [i2]Hsuan-Kung Yang, An-Chieh Cheng, Kuan-Wei Ho, Tsu-Jui Fu, Chun-Yi Lee:
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information. CoRR abs/1809.02945 (2018) - [i1]An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun:
InstaNAS: Instance-aware Neural Architecture Search. CoRR abs/1811.10201 (2018) - 2017
- [c2]Pei-Hsuan Tsai
, Hua-Jun Hong, An-Chieh Cheng, Cheng-Hsin Hsu:
Distributed analytics in fog computing platforms using tensorflow and kubernetes. APNOMS 2017: 145-150 - [c1]Hua-Jun Hong, Pei-Hsuan Tsai, An-Chieh Cheng, Md. Yusuf Sarwar Uddin, Nalini Venkatasubramanian, Cheng-Hsin Hsu:
Supporting Internet-of-Things Analytics in a Fog Computing Platform. CloudCom 2017: 138-145
Coauthor Index
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