An-Chieh Cheng

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Dense Correspondence

Microsoft Kinect

Neural Architectures

Top Venues

Publications

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 (2024)
An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang
TUVF: Learning Generalizable Texture UV Radiance Fields. ICLR (2024)
An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang
TUVF: Learning Generalizable Texture UV Radiance Fields. CoRR (2023)
An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang
Autoregressive 3D Shape Generation via Canonical Mapping. CoRR (2022)
An-Chieh Cheng, Xueting Li, Sifei Liu, Min Sun, Ming-Hsuan Yang
Autoregressive 3D Shape Generation via Canonical Mapping. ECCV (3) (2022)
An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu
Learning 3D Dense Correspondence via Canonical Point Autoencoder. NeurIPS (2021)
An-Chieh Cheng, Xueting Li, Min Sun, Ming-Hsuan Yang, Sifei Liu
Learning 3D Dense Correspondence via Canonical Point Autoencoder. CoRR (2021)
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
InstaNAS: Instance-Aware Neural Architecture Search. AAAI (2020)
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)
An-Chieh Cheng, Chia-Ping Chen
即時中文語音合成系統(Real-Time Mandarin Speech Synthesis System). ROCLING (2019)
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)
An-Chieh Cheng, Chieh Hubert Lin, Da-Cheng Juan, Wei Wei, Min Sun
InstaNAS: Instance-aware Neural Architecture Search. CoRR (2018)
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)
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 (2018)
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)
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)
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 (2018)
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 (2018)
Pei-Hsuan Tsai, Hua-Jun Hong, An-Chieh Cheng, Cheng-Hsin Hsu
Distributed analytics in fog computing platforms using tensorflow and kubernetes. APNOMS (2017)
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)