Chen-Hsuan Lin
Chen-Hsuan Lin
NVIDIA Research
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Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction
CH Lin, C Kong, S Lucey
AAAI Conference on Artificial Intelligence (AAAI), 2018, 2018
2192018
Inverse Compositional Spatial Transformer Networks
CH Lin, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
1202017
ST-GAN: Spatial Transformer Generative Adversarial Networks for Image Compositing
CH Lin, E Yumer, O Wang, E Shechtman, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018, 2018
1142018
Using Locally Corresponding CAD Models for Dense 3D Reconstructions from a Single Image
C Kong, CH Lin, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017
502017
Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
CH Lin, O Wang, BC Russell, E Shechtman, VG Kim, M Fisher, S Lucey
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019
312019
Deep-LK for Efficient Adaptive Object Tracking
C Wang, HK Galoogahi, CH Lin, S Lucey
IEEE International Conference on Robotics and Automation (ICRA), 2018, 2018
302018
Object-Centric Photometric Bundle Adjustment with Deep Shape Prior
R Zhu, C Wang, CH Lin, Z Wang, S Lucey
IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, 2018
152018
The Conditional Lucas & Kanade Algorithm
CH Lin, R Zhu, S Lucey
European Conference on Computer Vision (ECCV), 2016, 2016
122016
Image composites using a generative adversarial neural network
E Shechtman, O Wang, M Yumer, CH Lin
US Patent 10,719,742, 2020
92020
Deep NRSfM++: Towards Unsupervised 2D-3D Lifting in the Wild
C Wang, CH Lin, S Lucey
IEEE International Conference on 3D Vision (3DV), 2020, 2020
7*2020
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
CH Lin, C Wang, S Lucey
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
72020
Semantic photometric bundle adjustment on natural sequences
R Zhu, C Wang, CH Lin, Z Wang, S Lucey
arXiv preprint arXiv:1712.00110, 2017
42017
BARF: Bundle-Adjusting Neural Radiance Fields
CH Lin, WC Ma, A Torralba, S Lucey
arXiv preprint arXiv:2104.06405, 2021
32021
10-701 Machine Learning Final Project Report: Video Summarization via Deep Convolutional Networks
CH Lin, WC Ma, SE Wei
The Robotics Institute, Carnegie Mellon University, 0
1
Learning 3D Registration and Reconstruction from the Visual World
CH Lin
The Robotics Institute, Carnegie Mellon University, 2021
2021
3D object reconstruction using photometric mesh representation
O Wang, V Kim, M Fisher, E Shechtman, CH Lin, B Russell
US Patent 10,769,848, 2020
2020
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Artikkelit 1–16