Chen-Hsuan Lin

According to our database, Chen-Hsuan Lin authored at least 28 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Edify 3D: Scalable High-Quality 3D Asset Generation.

Maciej Bala, Yin Cui, Yifan Ding, Yunhao Ge, Zekun Hao, Jon Hasselgren, Jacob Samuel Huffman, Jingyi Jin, J. P. Lewis, Zhaoshuo Li, Chen-Hsuan Lin, Yen-Chen Lin, Tsung-Yi Lin, Ming-Yu Liu, Alice Luo, Qianli Ma, Jacob Munkberg, Stella Shi, Fangyin Wei, Donglai Xiang, Jiashu Xu, Xiaohui Zeng, Qinsheng Zhang

CoRR, 2024

2023

SIGGRAPH 2023 Course on Diffusion Models.

Chenlin Meng, Jiaming Song, Shuang Li, Jun-Yan Zhu, Stefano Ermon, Tsung-Yi Lin, Chen-Hsuan Lin, Karsten Kreis

Proceedings of the ACM SIGGRAPH 2023 Courses, 2023

ATT3D: Amortized Text-to-3D Object Synthesis.

Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Magic3D: High-Resolution Text-to-3D Content Creation.

Chen-Hsuan Lin, Jun Gao, Luming Tang, Towaki Takikawa, Xiaohui Zeng, Xun Huang, Karsten Kreis, Sanja Fidler, Ming-Yu Liu, Tsung-Yi Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neuralangelo: High-Fidelity Neural Surface Reconstruction.

Zhaoshuo Li, Thomas Müller, Alex Evans, Russell H. Taylor, Mathias Unberath, Ming-Yu Liu, Chen-Hsuan Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Learning 3D Registration and Reconstruction from the Visual World.

Chen-Hsuan Lin

PhD thesis, 2022

2021

BARF: Bundle-Adjusting Neural Radiance Fields.

Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep NRSfM++: Towards 3D Reconstruction in the Wild.

Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey

CoRR, 2020

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images.

Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild.

Chaoyang Wang, Chen-Hsuan Lin, Simon Lucey

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Cost-Effective Error Detection Through Mersenne Modulo Shadow Datapaths.

Keith A. Campbell, Chen-Hsuan Lin, Deming Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019

Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction.

Chen-Hsuan Lin, Oliver Wang, Bryan C. Russell, Eli Shechtman, Vladimir G. Kim, Matthew Fisher, Simon Lucey

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

C-Mine: Data Mining of Logic Common Cases for Improved Timing Error Resilience with Energy Efficiency.

Chen-Hsuan Lin, Lu Wan, Deming Chen

ACM Trans. Design Autom. Electr. Syst., 2018

Object-Centric Photometric Bundle Adjustment with Deep Shape Prior.

Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

Deep-LK for Efficient Adaptive Object Tracking.

Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing.

Chen-Hsuan Lin, Ersin Yumer, Oliver Wang, Eli Shechtman, Simon Lucey

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Low-cost hardware architectures for mersenne modulo functional units.

Keith A. Campbell, Chen-Hsuan Lin, Deming Chen

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018

Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction.

Chen-Hsuan Lin, Chen Kong, Simon Lucey

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Semantic Photometric Bundle Adjustment on Natural Sequences.

Rui Zhu, Chaoyang Wang, Chen-Hsuan Lin, Ziyan Wang, Simon Lucey

CoRR, 2017

Inverse Compositional Spatial Transformer Networks.

Chen-Hsuan Lin, Simon Lucey

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image.

Chen Kong, Chen-Hsuan Lin, Simon Lucey

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

The Conditional Lucas & Kanade Algorithm.

Chen-Hsuan Lin, Rui Zhu, Simon Lucey

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

CSL: Coordinated and scalable logic synthesis techniques for effective NBTI reduction.

Chen-Hsuan Lin, Subhendu Roy, Chun-Yao Wang, David Z. Pan, Deming Chen

Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

2014

C-Mine: Data Mining of Logic Common Cases for Low Power Synthesis of Better-Than-Worst-Case Designs.

Chen-Hsuan Lin, Lu Wan, Deming Chen

Proceedings of the 51st Annual Design Automation Conference 2014, 2014

2012

Automatic Decoder Synthesis: Methods and Case Studies.

Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, Jie-Hong R. Jiang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2012

2011

Towards completely automatic decoder synthesis.

Hsiou-Yuan Liu, Yen-Cheng Chou, Chen-Hsuan Lin, Jie-Hong R. Jiang

Proceedings of the 2011 IEEE/ACM International Conference on Computer-Aided Design, 2011

2009

Dependent-Latch Identification in Reachable State Space.

Chen-Hsuan Lin, Chun-Yao Wang, Yung-Chih Chen

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2009

Dependent latch identification in the reachable state space.

Chen-Hsuan Lin, Chun-Yao Wang

Proceedings of the 14th Asia South Pacific Design Automation Conference, 2009