An-Chieh Cheng

UC San Diego Health System — United States

Computer Science · Physical Sciences

11h-index541citations31works6.52yr avg
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Research Topics

Advanced Neural Network Applications(7), Advanced Image and Video Retrieval Techniques(6), Computer Graphics and Visualization Techniques(5), 3D Shape Modeling and Analysis(5), Video Analysis and Summarization(5)

Publications31 total

3D Aware Region Prompted Vision Language Model
arXiv (Cornell University)·2025Open Access
NaVILA: Legged Robot Vision-Language-Action Model for Navigation
2025· 8 citedOpen Access
NVILA: Efficient Frontier Visual Language Models
2025· 8 cited
Compositional Text-to-Image Generation with Feedforward Layout Generation
Lecture notes in computer science·2025
NaVILA: Legged Robot Vision-Language-Action Model for Navigation
arXiv (Cornell University)·2024· 1 citedOpen Access
NVILA: Efficient Frontier Visual Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
SpatialRGPT: Grounded Spatial Reasoning in Vision-Language Models
2024· 33 cited
Correction to “Chiral Optical Force Generated by a Superchiral Near-Field of a Plasmonic Triangle Trimer as Origin of Giant Bias in Chiral Nucleation: A simulation study”
The Journal of Physical Chemistry C·2023· 1 cited
TUVF: Learning Generalizable Texture UV Radiance Fields
arXiv (Cornell University)·2023· 2 citedOpen Access
Correction to “Plasmonic Manipulation-Controlled Chiral Crystallization of Sodium Chlorate”
The Journal of Physical Chemistry Letters·2022
Autoregressive 3D Shape Generation via Canonical Mapping
arXiv (Cornell University)·2022Open Access
Autoregressive 3D Shape Generation via Canonical Mapping
Lecture notes in computer science·2022· 26 cited
Learning 3D Dense Correspondence via Canonical Point Autoencoder
arXiv (Cornell University)·2021Open Access
Learning 3D Dense Correspondence via Canonical Point Autoencoder
arXiv (Cornell University)·2021· 14 citedOpen Access
InstaNAS: Instance-Aware Neural Architecture Search
Proceedings of the AAAI Conference on Artificial Intelligence·2020· 35 citedOpen Access
Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization
Neural Information Processing Systems·2020· 25 cited
即時中文語音合成系統(Real-Time Mandarin Speech Synthesis System)
International Conference on Computational Linguistics·2019
Visual Relationship Prediction via Label Clustering and Incorporation of Depth Information
Lecture notes in computer science·2019· 4 cited
InstaNAS: Instance-aware Neural Architecture Search
arXiv (Cornell University)·2018· 8 citedOpen Access
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Frequent Co-authors

Sifei Liu(13), Min Sun(10), Da-Cheng Juan(8), Jan Kautz(7), Hongxu Yin(7), Jin‐Dong Dong(5), Wei Wei(5), Xueting Li(5), Ming–Hsuan Yang(4), Yang Fu(3), Zhijian Liu(3), Yukang Chen(3), Pavlo Molchanov(3), Yao Lu(3), Hua-Jun Hong(2), Pei-Hsuan Tsai(2), Cheng-Hsin Hsu(2), Chieh Hubert Lin(2), Wei Wei(2), Qiushan Guo(2)