| Disn: Deep implicit surface network for high-quality single-view 3d reconstruction Q Xu, W Wang, D Ceylan, R Mech, U Neumann Advances in neural information processing systems 32, 2019 | 515 | 2019 |
| Point-NeRF: Point-based Neural Radiance Fields Q Xu, Z Xu, J Philip, S Bi, Z Shu, K Sunkavalli, U Neumann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2022 | 355 | 2022 |
| Grid-GCN for Fast and Scalable Point Cloud Learning Q Xu, X Sun, C Wu, P Wang, U Neumann Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2020 | 254 | 2020 |
| SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation Q Xu, Y Zhou, W Wang, CR Qi, D Anguelov Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 142 | 2021 |
| Behind the Curtain: Learning Occluded Shapes for 3D Object Detection Q Xu, Y Zhong, U Neumann Proceedings of the AAAI Conference on Artificial Intelligence 36 (AAAI-2022), 2022 | 119 | 2022 |
| Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry CY Wu, Q Xu, U Neumann International Conference on 3D Vision 2021 (3DV 2021), 2021 | 62 | 2021 |
| Stochastic Dynamics for Video Infilling Q Xu, H Zhang, W Wang, PN Belhumeur, U Neumann 2020 Winter Conference on Applications of Computer Vision (WACV 2020), 2018 | 20 | 2018 |
| Strivec: Sparse Tri-Vector Radiance Fields Q Xu, Q Gao, H Su, U Neumann, Z Xu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 11* | 2023 |
| Geometry-Aware Instance Segmentation with Disparity Maps CY Wu, X Hu, M Happold, Q Xu, U Neumann CVPRw 2020, 2020 | 11 | 2020 |
| Generative Cooperative Net for Image Generation and Data Augmentation Q Xu, Z Qin, T Wan The International Symposium on Integrated Uncertainty in Knowledge Modelling …, 2017 | 11 | 2017 |
| GaussianFlow: Splatting Gaussian Dynamics for 4D Content Creation Q Gao, Q Xu, Z Cao, B Mildenhall, W Ma, L Chen, D Tang, U Neumann arXiv preprint arXiv:2403.12365, 2024 | 1 | 2024 |
| MVDD: Multi-View Depth Diffusion Models Z Wang, Q Xu, F Tan, M Chai, L Shichen, R Pandey, S Fanello, ... arXiv preprint arXiv:2312.04875, 2023 | 1 | 2023 |
| Stochastic Dynamics for Video Infilling (Workshop Version) Q Xu, H Zhang, W Wang, PN Belhumeur, U Neumann CVPRw 2019, 2018 | 1* | 2018 |
| MagicMirror: Fast and High-Quality Avatar Generation with a Constrained Search Space A Comas-Massagué, D Qiu, M Chai, M Bühler, A Raj, R Gao, Q Xu, ... arXiv preprint arXiv:2404.01296, 2024 | | 2024 |
| One2Avatar: Generative Implicit Head Avatar For Few-shot User Adaptation Z Yu, Z Bai, A Meka, F Tan, Q Xu, R Pandey, S Fanello, HS Park, Y Zhang arXiv preprint arXiv:2402.11909, 2024 | | 2024 |
| Point-based neural radiance field for three dimensional scene representation Z Xu, Z Shu, S Bi, Q Xu, K Sunkavalli, J Philip US Patent App. 17/861,199, 2024 | | 2024 |
| Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing Y Lan, F Tan, D Qiu, Q Xu, K Genova, Z Huang, S Fanello, R Pandey, ... arXiv preprint arXiv:2312.03763, 2023 | | 2023 |
| Accurate 3D Facial Geometry Prediction by Multi-Task, Multi-Modal, and Multi-Representation Landmark Refinement Network CY Wu, Q Xu, U Neumann arXiv preprint arXiv:2104.08403, 2021 | | 2021 |
| DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction Q Xu, W Wang, D Ceylan, R Mech, U Neumann arXiv preprint arXiv:1905.10711, 2019 | | 2019 |
| Dynamic Eye Movement Matching and Visualization Tool in Neuro Gesture Q Xu, J Kender arXiv preprint arXiv:1712.09709, 2018 | | 2018 |
Ulrich NeumannProfessor of Computer Science, University of Southern CaliforniaVahvistettu sähköpostiosoite verkkotunnuksessa usc.edu
