| PREDATOR: Registration of 3D Point Clouds with Low Overlap S Huang, Z Gojcic, M Usvyatsov, A Wieser, K Schindler IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2020 | 623 | 2020 |
| The perfect match: 3d point cloud matching with smoothed densities Z Gojcic, C Zhou, JD Wegner, A Wieser IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 5545 …, 2019 | 569 | 2019 |
| LION: Latent Point Diffusion Models for 3D Shape Generation X Zeng, A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis Neural Information Processing Systems (NeurIPS), 2022 | 490* | 2022 |
| GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler Neural Information Processing Systems (NeurIPS), 2022 | 465 | 2022 |
| Learning multiview 3D point cloud registration Z Gojcic, C Zhou, JD Wegner, LJ Guibas, T Birdal IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020 | 213 | 2020 |
| Weakly Supervised Learning of Rigid 3D Scene Flow Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021 | 109 | 2021 |
| Flexible isosurface extraction for gradient-based mesh optimization T Shen, J Munkberg, J Hasselgren, K Yin, Z Wang, W Chen, Z Gojcic, ... ACM Transactions on Graphics (TOG) 42 (4), 1-16, 2023 | 81 | 2023 |
| Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes Z Wang, T Shen, J Gao, S Huang, J Munkberg, J Hasselgren, Z Gojcic, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023 | 81 | 2023 |
| CaSPR: Learning canonical spatiotemporal point cloud representations D Rempe, T Birdal, Y Zhao, Z Gojcic, S Sridhar, LJ Guibas Neural Information Processing Systems (NeurIPS 2020), 2020 | 78 | 2020 |
| Neural fields as learnable kernels for 3d reconstruction F Williams, Z Gojcic, S Khamis, D Zorin, J Bruna, S Fidler, O Litany Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 75 | 2022 |
| Neural Kernel Surface Reconstruction J Huang, Z Gojcic, M Atzmon, O Litany, S Fidler, F Williams IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4369-4379, 2023 | 73 | 2023 |
| Adaptive Shells for Efficient Neural Radiance Field Rendering Z Wang, T Shen, M Nimier-David, N Sharp, J Gao, A Keller, S Fidler, ... ACM Transactions on Graphics (SIGGRAPH Asia) 42 (6), 2023 | 60 | 2023 |
| Neural LiDAR Fields for Novel View Synthesis S Huang, Z Gojcic, Z Wang, F Williams, Y Kasten, S Fidler, K Schindler, ... IEEE International Conference on Computer Vision (ICCV), 2023, 2023 | 55 | 2023 |
| Dynamic 3D Scene Analysis by Point Cloud Accumulation S Huang, Z Gojcic, J Huang, A Wieser, K Schindler European Conference on Computer Vision (ECCV), 2022 | 51 | 2022 |
| Multiway non-rigid point cloud registration via learned functional map synchronization J Huang, T Birdal, Z Gojcic, LJ Guibas, SM Hu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2038-2053, 2022 | 42 | 2022 |
| Dense 3D displacement vector fields for point cloud-based landslide monitoring Z Gojcic, L Schmid, A Wieser Landslides 18, 3821-3832, 2021 | 40 | 2021 |
| F2S3: Robustified determination of 3D displacement vector fields using deep learning Z Gojcic, C Zhou, A Wieser Journal of Applied Geodesy 14 (2), 177-189, 2020 | 26 | 2020 |
| Or Litany, Sanja Fidler, and Karsten Kreis X Zeng, A Vahdat, F Williams, Z Gojcic Lion: Latent point diffusion models for 3d shape generation 4, 2022 | 24 | 2022 |
| 3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes N Moenne-Loccoz, A Mirzaei, O Perel, R de Lutio, J Martinez Esturo, ... ACM Transactions on Graphics (TOG) 43 (6), 1-19, 2024 | 23 | 2024 |
| Learned compact local feature descriptor for TLS-based geodetic monitoring of natural outdoor scenes Z Gojcic, C Zhou, A Wieser International Annals of the Photogrammetry, Remote Sensing and Spatial …, 2018 | 21 | 2018 |
Andreas WieserProfessor of Geosensors and Engineering Geodesy, ETH ZürichEmail confirmado em geod.baug.ethz.ch