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ORCIDChen-Hsuan Lin 0001
Person information
- affiliation: NVIDIA Research
- affiliation (PhD 2022): Carnegie Mellon University, USA
Other persons with the same name
- Chen-Hsuan Lin 0002 — University of Illinois Urbana-Champaign, USA
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2020 – today
- 2023
[c20]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CVPR 2023: 300-309- [c19]Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin:
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CVPR 2023: 8456-8465 - [c18]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV 2023: 17900-17910 - [c17]Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis:
SIGGRAPH 2023 Course on Diffusion Models. SIGGRAPH Courses 2023: 7:1-7:113 - [i14]Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin:
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CoRR abs/2306.03092 (2023) - [i13]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR abs/2306.07349 (2023) - 2022
- [b1]Chen-Hsuan Lin:
Learning 3D Registration and Reconstruction from the Visual World. Carnegie Mellon University, USA, 2022 - [i12]Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin:
Magic3D: High-Resolution Text-to-3D Content Creation. CoRR abs/2211.10440 (2022) - 2021
- [c16]Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey
:
BARF: Bundle-Adjusting Neural Radiance Fields. ICCV 2021: 5721-5731 - [i11]Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey:
BARF: Bundle-Adjusting Neural Radiance Fields. CoRR abs/2104.06405 (2021) - 2020
- [c15]Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey:
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. 3DV 2020: 12-22 - [c14]Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey:
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. NeurIPS 2020 - [i10]Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey:
Deep NRSfM++: Towards 3D Reconstruction in the Wild. CoRR abs/2001.10090 (2020) - [i9]Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey:
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. CoRR abs/2010.10505 (2020)
2010 – 2019
- 2019
- [j4]Keith A. Campbell, Chen-Hsuan Lin, Deming Chen:
Cost-Effective Error Detection Through Mersenne Modulo Shadow Datapaths. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(6): 1056-1069 (2019) - [c13]Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CVPR 2019: 969-978 - [i8]Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey:
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction. CoRR abs/1903.08642 (2019) - 2018
- [j3]Chen-Hsuan Lin, Lu Wan, Deming Chen:
C-Mine: Data Mining of Logic Common Cases for Improved Timing Error Resilience with Energy Efficiency. ACM Trans. Design Autom. Electr. Syst. 23(2): 20:1-20:23 (2018) - [c12]Chen-Hsuan Lin, Chen Kong, Simon Lucey:
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. AAAI 2018: 7114-7121 - [c11]Keith A. Campbell, Chen-Hsuan Lin, Deming Chen:
Low-cost hardware architectures for mersenne modulo functional units. ASP-DAC 2018: 599-604 - [c10]Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey:
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. CVPR 2018: 9455-9464 - [c9]Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey:
Deep-LK for Efficient Adaptive Object Tracking. ICRA 2018: 627-634 - [c8]Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey:
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. WACV 2018: 894-902 - [i7]Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey:
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. CoRR abs/1803.01837 (2018) - 2017
- [c7]Chen-Hsuan Lin, Simon Lucey:
Inverse Compositional Spatial Transformer Networks. CVPR 2017: 2252-2260 - [c6]Chen Kong, Chen-Hsuan Lin, Simon Lucey:
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image. CVPR 2017: 5603-5611 - [i6]Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey:
Deep-LK for Efficient Adaptive Object Tracking. CoRR abs/1705.06839 (2017) - [i5]Chen-Hsuan Lin, Chen Kong, Simon Lucey:
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. CoRR abs/1706.07036 (2017) - [i4]Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey:
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. CoRR abs/1711.01470 (2017) - [i3]Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey:
Semantic Photometric Bundle Adjustment on Natural Sequences. CoRR abs/1712.00110 (2017) - 2016
- [c5]Chen-Hsuan Lin, Rui Zhu, Simon Lucey:
The Conditional Lucas & Kanade Algorithm. ECCV (5) 2016: 793-808 - [i2]Chen-Hsuan Lin, Rui Zhu, Simon Lucey:
The Conditional Lucas & Kanade Algorithm. CoRR abs/1603.08597 (2016) - [i1]Chen-Hsuan Lin, Simon Lucey:
Inverse Compositional Spatial Transformer Networks. CoRR abs/1612.03897 (2016) - 2015
- [c4]Chen-Hsuan Lin, Subhendu Roy, Chun-Yao Wang, David Z. Pan, Deming Chen:
CSL: Coordinated and scalable logic synthesis techniques for effective NBTI reduction. ICCD 2015: 236-243 - 2014
- [c3]Chen-Hsuan Lin, Lu Wan, Deming Chen:
C-Mine: Data Mining of Logic Common Cases for Low Power Synthesis of Better-Than-Worst-Case Designs. DAC 2014: 205:1-205:6 - 2012
- [j2]Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, Jie-Hong R. Jiang:
Automatic Decoder Synthesis: Methods and Case Studies. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 31(9): 1319-1331 (2012) - 2011
- [c2]Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, Jie-Hong R. Jiang:
Towards completely automatic decoder synthesis. ICCAD 2011: 389-395
2000 – 2009
- 2009
- [j1]Chen-Hsuan Lin, Chun-Yao Wang, Yung-Chih Chen:
Dependent-Latch Identification in Reachable State Space. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(8): 1113-1126 (2009) - [c1]Chen-Hsuan Lin, Chun-Yao Wang:
Dependent latch identification in the reachable state space. ASP-DAC 2009: 630-635
Coauthor Index
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