| A papier-mâché approach to learning 3d surface generation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 1206 | 2018 |
| 3d-coded: 3d correspondences by deep deformation T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Proceedings of the european conference on computer vision (ECCV), 230-246, 2018 | 309 | 2018 |
| Learning elementary structures for 3d shape generation and matching T Deprelle, T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Advances in Neural Information Processing Systems 32, 7435--7445, 2019 | 165 | 2019 |
| Unsupervised cycle‐consistent deformation for shape matching T Groueix, M Fisher, VG Kim, BC Russell, M Aubry Computer Graphics Forum 38 (5), 123-133, 2019 | 32 | 2019 |
| Deep Transformation-Invariant Clustering T Monnier, T Groueix, M Aubry Advances in Neural Information Processing Systems, 2020 | 31 | 2020 |
| Shape correspondence with isometric and non-isometric deformations RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ... The Eurographics Association, 2019 | 21 | 2019 |
| Neural jacobian fields: Learning intrinsic mappings of arbitrary meshes N Aigerman, K Gupta, VG Kim, S Chaudhuri, J Saito, T Groueix ACM Transactions on Graphics (TOG) 41 (4), 1--17, 2022 | 13 | 2022 |
| A Summary of the 4th International Workshop on~ Recovering 6D Object Pose T Hodan, R Kouskouridas, TK Kim, F Tombari, K Bekris, B Drost, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 13 | 2018 |
| Textdeformer: Geometry manipulation using text guidance W Gao, N Aigerman, T Groueix, V Kim, R Hanocka ACM SIGGRAPH 2023 Conference Proceedings, 1-11, 2023 | 12 | 2023 |
| Leveraging mocap data for human mesh recovery F Baradel, T Groueix, P Weinzaepfel, R Brégier, Y Kalantidis, G Rogez 2021 International Conference on 3D Vision (3DV), 586-595, 2021 | 9 | 2021 |
| PoseBERT: A Generic Transformer Module for Temporal 3D Human Modeling F Baradel, R Brégier, T Groueix, P Weinzaepfel, Y Kalantidis, G Rogez IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 7 | 2022 |
| CNOS: A Strong Baseline for CAD-based Novel Object Segmentation VN Nguyen, T Hodan, G Ponimatkin, T Groueix, V Lepetit International Conference Computer Visiion (ICCV) Workshop, BOP challenge, 2023 | 4 | 2023 |
| Neural Face Rigging for Animating and Retargeting Facial Meshes in the Wild D Qin, J Saito, N Aigerman, T Groueix, T Komura ACM SIGGRAPH 2023 Conference Proceedings, 2023 | 1 | 2023 |
| NOPE: Novel Object Pose Estimation from a Single Image VN Nguyen, T Groueix, Y Hu, M Salzmann, V Lepetit arXiv preprint arXiv:2303.13612, 2023 | 1 | 2023 |
| Learning Joint Surface Atlases T Deprelle, T Groueix, N Aigerman, VG Kim, M Aubry European Conference on Computer Vision (ECCV) Workshop, Learning to Generate …, 2022 | 1 | 2022 |
| Interactive Monte-Carlo ray-tracing upsampling M Boughida, T Groueix, T Boubekeur Proceedings of the 37th Annual Conference of the European Association for …, 2016 | 1 | 2016 |
| PSDR-Room: Single Photo to Scene using Differentiable Rendering K Yan, F Luan, MŠ HaŠAn, T Groueix, V Deschaintre, S Zhao ACM SIGGRAPH ASIA 2023 Conference Proceedings, 2023 | | 2023 |
| GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence VN Nguyen, T Groueix, M Salzmann, V Lepetit arXiv preprint arXiv:2311.14155, 2023 | | 2023 |
| Generative Escher Meshes N Aigerman, T Groueix arXiv preprint arXiv:2309.14564, 2023 | | 2023 |
| Generating mappings of three-dimensional meshes utilizing neural network gradient fields N Aigerman, K Gupta, J Saito, T Groueix, V Kim, S Chaudhuri US Patent App. 17/808,808, 2023 | | 2023 |
Vladimir G. KimResearch Scientist, AdobeVerified email at adobe.com
