| Learning depth from monocular videos using direct methods C Wang, JM Buenaposada, R Zhu, S Lucey Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 678 | 2018 |
| Deep convolutional compressed sensing for lidar depth completion N Chodosh, C Wang, S Lucey ACCV 2018, 2018 | 128 | 2018 |
| Rethinking reprojection: Closing the loop for pose-aware shape reconstruction from a single image R Zhu, H Kiani Galoogahi, C Wang, S Lucey Proceedings of the IEEE International Conference on Computer Vision, 57-65, 2017 | 116 | 2017 |
| Web stereo video supervision for depth prediction from dynamic scenes C Wang, S Lucey, F Perazzi, O Wang 2019 International Conference on 3D Vision (3DV), 348-357, 2019 | 97 | 2019 |
| 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 | 91 | 2020 |
| Neural trajectory fields for dynamic novel view synthesis C Wang, B Eckart, S Lucey, O Gallo arXiv preprint arXiv:2105.05994, 2021 | 56 | 2021 |
| Distill Knowledge from NRSfM for Weakly Supervised 3D Pose Learning C Wang, C Kong, S Lucey Proceedings of the IEEE International Conference on Computer Vision, 743-752, 2019 | 53 | 2019 |
| Deep-LK for Efficient Adaptive Object Tracking C Wang, HK Galoogahi, CH Lin, S Lucey ICRA 2018, 2017 | 47 | 2017 |
| Object proposal by multi-branch hierarchical segmentation C Wang, L Zhao, S Liang, L Zhang, J Jia, Y Wei Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 44 | 2015 |
| Deep nrsfm++: Towards unsupervised 2d-3d lifting in the wild C Wang, CH Lin, S Lucey 2020 international conference on 3D Vision (3DV), 12-22, 2020 | 27* | 2020 |
| Flow supervision for deformable nerf C Wang, LE MacDonald, LA Jeni, S Lucey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 23 | 2023 |
| Reconstructing animatable categories from videos G Yang, C Wang, ND Reddy, D Ramanan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 22 | 2023 |
| Autodecoding latent 3d diffusion models E Ntavelis, A Siarohin, K Olszewski, C Wang, LV Gool, S Tulyakov Advances in Neural Information Processing Systems 36, 67021-67047, 2023 | 21 | 2023 |
| Object-centric photometric bundle adjustment with deep shape prior R Zhu, C Wang, CH Lin, Z Wang, S Lucey 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 894-902, 2018 | 21 | 2018 |
| Neural prior for trajectory estimation C Wang, X Li, JK Pontes, S Lucey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 18 | 2022 |
| PAUL: Procrustean Autoencoder for Unsupervised Lifting C Wang, S Lucey IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021 | 15 | 2021 |
| Scenewiz3d: Towards text-guided 3d scene composition Q Zhang, C Wang, A Siarohin, P Zhuang, Y Xu, C Yang, D Lin, B Zhou, ... arXiv preprint arXiv:2312.08885, 2023 | 12 | 2023 |
| Diffusion priors for dynamic view synthesis from monocular videos C Wang, P Zhuang, A Siarohin, J Cao, G Qian, HY Lee, S Tulyakov arXiv preprint arXiv:2401.05583, 2024 | 8 | 2024 |
| Atom: Amortized text-to-mesh using 2d diffusion G Qian, J Cao, A Siarohin, Y Kant, C Wang, M Vasilkovsky, HY Lee, ... arXiv preprint arXiv:2402.00867, 2024 | 7 | 2024 |
| Semantic photometric bundle adjustment on natural sequences R Zhu, C Wang, CH Lin, Z Wang, S Lucey arXiv preprint arXiv:1712.00110, 2017 | 5 | 2017 |
Simon LuceyProfessor, University of AdelaideVerified email at adelaide.edu
