| Shrec16 track: largescale 3d shape retrieval from shapenet core55 M Savva, F Yu, H Su, M Aono, B Chen, D Cohen-Or, W Deng, H Su, S Bai, ... Proceedings of the eurographics workshop on 3D object retrieval 10, 13, 2016 | 158 | 2016 |
| Structure-slam: Low-drift monocular slam in indoor environments Y Li, N Brasch, Y Wang, N Navab, F Tombari IEEE Robotics and Automation Letters 5 (4), 6583-6590, 2020 | 100 | 2020 |
| Softpoolnet: Shape descriptor for point cloud completion and classification Y Wang, DJ Tan, N Navab, F Tombari Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 78 | 2020 |
| Forknet: Multi-branch volumetric semantic completion from a single depth image Y Wang, DJ Tan, N Navab, F Tombari Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 60 | 2019 |
| Learning local displacements for point cloud completion Y Wang, DJ Tan, N Navab, F Tombari Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 40 | 2022 |
| Adversarial semantic scene completion from a single depth image Y Wang, DJ Tan, N Navab, F Tombari 2018 International Conference on 3D Vision (3DV), 426-434, 2018 | 32 | 2018 |
| Legoformer: Transformers for block-by-block multi-view 3d reconstruction F Yagubbayli, Y Wang, A Tonioni, F Tombari arXiv preprint arXiv:2106.12102, 2021 | 24 | 2021 |
| Softpool++: An encoder–decoder network for point cloud completion Y Wang, DJ Tan, N Navab, F Tombari International Journal of Computer Vision 130 (5), 1145-1164, 2022 | 16 | 2022 |
| Variational object-aware 3-d hand pose from a single rgb image Y Gao, Y Wang, P Falco, N Navab, F Tombari IEEE Robotics and Automation Letters 4 (4), 4239-4246, 2019 | 12 | 2019 |
| Self-restraint object recognition by model based CNN learning Y Wang, W Deng 2016 IEEE International Conference on Image Processing (ICIP), 654-658, 2016 | 12 | 2016 |
| Lidar upsampling with sliced wasserstein distance A Savkin, Y Wang, S Wirkert, N Navab, F Tombari IEEE Robotics and Automation Letters 8 (1), 392-399, 2022 | 10 | 2022 |
| From 2d to 3d: Re-thinking benchmarking of monocular depth prediction EP Örnek, S Mudgal, J Wald, Y Wang, N Navab, F Tombari arXiv preprint arXiv:2203.08122, 2022 | 7 | 2022 |
| Generative model with coordinate metric learning for object recognition based on 3D models Y Wang, W Deng IEEE Transactions on Image Processing 27 (12), 5813-5826, 2018 | 7 | 2018 |
| Zigzagnet: Efficient deep learning for real object recognition based on 3d models Y Wang, C Cui, X Zhou, W Deng Computer Vision–ACCV 2016: 13th Asian Conference on Computer Vision, Taipei …, 2017 | 3 | 2017 |
| Self-supervised Latent Space Optimization with Nebula Variational Coding Y Wang, DJ Tan, N Navab, F Tombari IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 1 | 2022 |
| SecNet: Semantic Eye Completion in Implicit Field Y Wang, Y Shen, DJ Tan, F Tombari, SS Talathi Annual Conference on Neural Information Processing Systems, 241-256, 2023 | | 2023 |
| Face Recognition Using Local PCA Filters Y Wang, S Li, J Hu, W Deng Biometric Recognition: 10th Chinese Conference, CCBR 2015, Tianjin, China …, 2015 | | 2015 |
Federico TombariGoogle, TU MunichVerified email at in.tum.de
