| Learning Efficient Point Cloud Generation for Dense 3D Object Reconstruction CH Lin, C Kong, S Lucey AAAI Conference on Artificial Intelligence (AAAI), 2018, 2018 | 284 | 2018 |
| 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 | 173 | 2018 |
| Inverse Compositional Spatial Transformer Networks CH Lin, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, 2017 | 134 | 2017 |
| 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 | 53 | 2017 |
| 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 | 49 | 2019 |
| BARF: Bundle-Adjusting Neural Radiance Fields CH Lin, WC Ma, A Torralba, S Lucey IEEE International Conference on Computer Vision (ICCV), 2021, 2021 | 37 | 2021 |
| 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 | 37 | 2018 |
| 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 | 21 | 2020 |
| Image Composites using a Generative Adversarial Neural Network E Shechtman, O Wang, M Yumer, CH Lin US Patent 10,719,742, 2020 | 19 | 2020 |
| 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 | 16 | 2018 |
| 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 | 15* | 2020 |
| The Conditional Lucas & Kanade Algorithm CH Lin, R Zhu, S Lucey European Conference on Computer Vision (ECCV), 2016, 2016 | 15 | 2016 |
| 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 | 4 | 2020 |
| Semantic Photometric Bundle Adjustment on Natural Sequences R Zhu, C Wang, CH Lin, Z Wang, S Lucey arXiv preprint arXiv:1712.00110, 2017 | 4 | 2017 |
| 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, 2015 | 1* | 2015 |
| Learning 3D Registration and Reconstruction from the Visual World CH Lin Carnegie Mellon University, 0 | | |
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
