Virtual to real reinforcement learning for autonomous driving X Pan, Y You, Z Wang, C Lu arXiv preprint arXiv:1704.03952, 2017 | 419 | 2017 |
Learning compositional radiance fields of dynamic human heads Z Wang, T Bagautdinov, S Lombardi, T Simon, J Saragih, J Hodgins, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 93 | 2021 |
A parametric top-view representation of complex road scenes Z Wang, B Liu, S Schulter, M Chandraker Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 45 | 2019 |
Correlated and individual multi-modal deep learning for RGB-D object recognition Z Wang, J Lu, R Lin, J Feng arXiv preprint arXiv:1604.01655, 2016 | 41 | 2016 |
Geometry-aware recurrent neural networks for active visual recognition R Cheng, Z Wang, K Fragkiadaki Advances in Neural Information Processing Systems 31, 2018 | 36 | 2018 |
Neural strands: Learning hair geometry and appearance from multi-view images RA Rosu, S Saito, Z Wang, C Wu, S Behnke, G Nam European Conference on Computer Vision, 73-89, 2022 | 27 | 2022 |
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 |
Hvh: Learning a hybrid neural volumetric representation for dynamic hair performance capture Z Wang, G Nam, T Stuyck, S Lombardi, M Zollhöfer, J Hodgins, C Lassner Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
Neuwigs: A neural dynamic model for volumetric hair capture and animation Z Wang, G Nam, T Stuyck, S Lombardi, C Cao, J Saragih, M Zollhöfer, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
Ct2hair: High-fidelity 3d hair modeling using computed tomography Y Shen, S Saito, Z Wang, O Maury, C Wu, J Hodgins, Y Zheng, G Nam ACM Transactions on Graphics (TOG) 42 (4), 1-13, 2023 | 7 | 2023 |
A dataset for high-level 3d scene understanding of complex road scenes in the top-view Z Wang, B Liu, S Schulter, M Chandraker The IEEE Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 7 | 2019 |
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 |
ANIM: Accurate Neural Implicit Model for Human Reconstruction from a single RGB-D image M Pesavento, Y Xu, N Sarafianos, R Maier, Z Wang, CH Yao, M Volino, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
A Local Appearance Model for Volumetric Capture of Diverse Hairstyles Z Wang, G Nam, A Bozic, C Cao, J Saragih, M Zollhöfer, J Hodgins 2024 International Conference on 3D Vision (3DV), 190-200, 2024 | | 2024 |
Learning Compositional Radiance Fields of Dynamic Human Heads–Supplemental Document– Z Wang, T Bagautdinov, S Lombardi, T Simon, J Saragih, J Hodgins, ... | | |
A Parametric Top-View Representation of Complex Road Scenes Supplemental Material Z Wang, B Liu, S Schulter, M Chandraker | | |