Chen-Hsuan Lin

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 32

Top Topics

Diffusion Models

Content Creation

Top Venues

Publications

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)
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)
Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin
Neuralangelo: High-Fidelity Neural Surface Reconstruction. CoRR (2023)
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 (2023)
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)
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)
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 (2022)
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey
BARF: Bundle-Adjusting Neural Radiance Fields. CoRR (2021)
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey
BARF: Bundle-Adjusting Neural Radiance Fields. ICCV (2021)
Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
Deep NRSfM++: Towards 3D Reconstruction in the Wild. CoRR (2020)
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. NeurIPS (2020)
Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild. 3DV (2020)
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images. CoRR (2020)
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) (2019)
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)
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 (2019)
Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey
Deep-LK for Efficient Adaptive Object Tracking. ICRA (2018)
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. CoRR (2018)
Chen-Hsuan Lin, Chen Kong, Simon Lucey
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. AAAI (2018)
Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing. CVPR (2018)
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) (2018)
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. WACV (2018)
Keith A. Campbell, Chen-Hsuan Lin, Deming Chen
Low-cost hardware architectures for mersenne modulo functional units. ASP-DAC (2018)
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior. CoRR (2017)
Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey
Semantic Photometric Bundle Adjustment on Natural Sequences. CoRR (2017)
Chen Kong, Chen-Hsuan Lin, Simon Lucey
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image. CVPR (2017)
Chen-Hsuan Lin, Chen Kong, Simon Lucey
Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction. CoRR (2017)
Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey
Deep-LK for Efficient Adaptive Object Tracking. CoRR (2017)
Chen-Hsuan Lin, Simon Lucey
Inverse Compositional Spatial Transformer Networks. CVPR (2017)
Chen-Hsuan Lin, Rui Zhu, Simon Lucey
The Conditional Lucas & Kanade Algorithm. CoRR (2016)
Chen-Hsuan Lin, Simon Lucey
Inverse Compositional Spatial Transformer Networks. CoRR (2016)
Chen-Hsuan Lin, Rui Zhu, Simon Lucey
The Conditional Lucas & Kanade Algorithm. ECCV (5) (2016)
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)
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)
Chen-Hsuan Lin, Lingyi Liu, Shobha Vasudevan
Generating concise assertions with complete coverage. ACM Great Lakes Symposium on VLSI (2013)
Lingyi Liu, Chen-Hsuan Lin, Shobha Vasudevan
Word level feature discovery to enhance quality of assertion mining. ICCAD (2012)
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) (2012)
Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, Jie-Hong R. Jiang
Towards completely automatic decoder synthesis. ICCAD (2011)
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) (2009)
Chen-Hsuan Lin, Chun-Yao Wang
Dependent latch identification in the reachable state space. ASP-DAC (2009)