Researcher Portfolio

 
   

Dr. Beier, René

Algorithms and Complexity, MPI for Informatics, Max Planck Society  

 

Researcher Profile

 
Position: Algorithms and Complexity, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons44108

External references

 
WorldCat Search for Beier, René
Google Scholar Search for Beier, René

Publications

 
  (1 - 25 of 43)
 : Roetzer, P., Abbas, A., Cao, D., Bernard, F., & Swoboda, P. (2024). DiscoMatch: Fast Discrete Optimisation for Geometrically Consistent 3D Shape Matching. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision -- ECCV 2024 (pp. 443-460). Berlin: Springer. doi:10.1007/978-3-031-73668-1_26. [PubMan] : Yenamandra, T., Tewari, A., Yang, N., Bernard, F., Theobalt, C., & Cremers, D. (2022). HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering. Retrieved from https://arxiv.org/abs/2203.16284. [PubMan] : Roetzer, P., Swoboda, P., Cremers, D., & Bernard, F. (2022). A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 428-438). Piscataway, NJ: IEEE. doi:10.1109/CVPR52688.2022.00052. [PubMan] : Wang, J., Luvizon, D., Mueller, F., Bernard, F., Kortylewski, A., Casas, D., & Theobalt, C. (2022). HandFlow: Quantifying View-Dependent 3D Ambiguity in Two-Hand Reconstruction with Normalizing Flow. In International Symposium on Vision, Modeling, and Visualization (pp. 99-106). Eurographics Association. doi:10.2312/vmv.20221209. [PubMan] : Krahn, M., Bernard, F., & Golyanik, V. (2021). Convex Joint Graph Matching and Clustering via Semidefinite. In 2021 International Conference on 3D Vision (pp. 1216-1226). Piscataway, NJ: IEEE. doi:10.1109/3DV53792.2021.00129. [PubMan] : Yenamandra, T., Tewari, A., Bernard, F., Seidel, H.-P., Elgharib, M., Cremers, D., & Theobalt, C. (2021). i3DMM: Deep Implicit 3D Morphable Model of Human Heads. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 12803-12813). Piscataway, NJ: IEEE. doi:10.1109/CVPR46437.2021.01261. [PubMan] : Liu, L., Xu, W., Habermann, M., Zollhöfer, M., Bernard, F., Kim, H., Wang, W., & Theobalt, C. (2021). Neural Human Video Rendering by Learning Dynamic Textures and Rendering-to-Video Translation. IEEE Transactions on Visualization and Computer Graphics, 27(10), 4009-4022. doi:10.1109/TVCG.2020.2996594. [PubMan] : Egger, B., Smith, W. A. P., Tewari, A., Wuhrer, S., Zollhöfer, M., Beeler, T., Bernard, F., Bolkart, T., Kortylewski, A., Romdhani, S., Theobalt, C., Blanz, V., & Vetter, T. (2020). 3D Morphable Face Models -Past, Present and Future. ACM Transactions on Graphics, 39(5): 157. doi:10.1145/3395208. [PubMan] : Bernard, F., Suri, Z. K., & Theobalt, C. (2020). MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. Retrieved from https://arxiv.org/abs/2002.12623. [PubMan] : Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). StyleRig: Rigging StyleGAN for 3D Control over Portrait Images. Retrieved from https://arxiv.org/abs/2004.00121. [PubMan] : Yenamandra, T., Tewari, A., Bernard, F., Seidel, H.-P., Elgharib, M., Cremers, D., & Theobalt, C. (2020). i3DMM: Deep Implicit 3D Morphable Model of Human Heads. Retrieved from https://arxiv.org/abs/2011.14143. [PubMan] : Liu, L., Xu, W., Habermann, M., Zollhöfer, M., Bernard, F., Kim, H., Wang, W., & Theobalt, C. (2020). Learning Dynamic Textures for Neural Rendering of Human Actors. IEEE Transactions on Visualization and Computer Graphics, 27(10), 4009-4022. doi:10.1109/TVCG.2020.2996594. [PubMan] : Tewari, A., Elgharib, M., Mallikarjun B R, Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). PIE: Portrait Image Embedding for Semantic Control. ACM Transactions on Graphics, 39(6): 223. doi:10.1145/3414685.3417803. [PubMan] : Wang, J., Mueller, F., Bernard, F., & Theobalt, C. (2020). Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation. In V. Štruc, & F. Gómez-Fernández (Eds.), 15th IEEE International Conference on Automatic Face and Gesture Recognition (pp. 101-108). Piscataway, NJ: IEEE. doi:10.1109/FG47880.2020.00013. [PubMan] : Qian, N., Wang, J., Mueller, F., Bernard, F., Golyanik, V., & Theobalt, C.(2020). Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization (MPI-I-2020-4-001). Saarbrücken: Max-Planck-Institut für Informatik. [PubMan] : Wang, J., Mueller, F., Bernard, F., Sorli, S., Sotnychenko, O., Qian, N., Otaduy, M. A., Casas, D., & Theobalt, C. (2020). RGB2Hands: Real-Time Tracking of 3D Hand Interactions from Monocular RGB Video. ACM Transactions on Graphics, 39(6): 218. doi:10.1145/3414685.3417852. [PubMan] : Tewari, A., Elgharib, M., Bharaj, G., Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). StyleRig: Rigging StyleGAN for 3D Control Over Portrait Images. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 6141-6150). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00618. [PubMan] : Tewari, A., Zollhöfer, M., Bernard, F., Garrido, P., Kim, H., Pérez, P., & Theobalt, C. (2020). High-Fidelity Monocular Face Reconstruction based on an Unsupervised Model-based Face Autoencoder. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(2), 357-370. doi:10.1109/TPAMI.2018.2876842. [PubMan] : Wang, J., Mueller, F., Bernard, F., & Theobalt, C. (2020). Generative Model-Based Loss to the Rescue: A Method to Overcome Annotation Errors for Depth-Based Hand Pose Estimation. Retrieved from https://arxiv.org/abs/2007.03073. [PubMan] : Bernard, F., Suri, Z. K., & Theobalt, C. (2020). MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 13823-13832). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.01384. [PubMan] : Qian, N., Wang, J., Mueller, F., Bernard, F., Golyanik, V., & Theobalt, C. (2020). HTML: A Parametric Hand Texture Model for 3D Hand Reconstruction and Personalization. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds.), Computer Vision -- ECCV 2020 (pp. 54-71). Berlin: Springer. doi:10.1007/978-3-030-58621-8_4. [PubMan] : Tewari, A., Elgharib, M., Mallikarjun B R, Bernard, F., Seidel, H.-P., Pérez, P., Zollhöfer, M., & Theobalt, C. (2020). PIE: Portrait Image Embedding for Semantic Control. Retrieved from https://arxiv.org/abs/2009.09485. [PubMan] : Bernard, F., Thunberg, J., Goncalves, J., & Theobalt, C. (2019). Synchronisation of Partial Multi-Matchings via Non-negative Factorisations. Pattern Recognition, 92, 146-155. doi:10.1016/j.patcog.2019.03.021. [PubMan] : Yenamandra, T., Bernard, F., Wang, J., Mueller, F., & Theobalt, C. (2019). Convex Optimisation for Inverse Kinematics. In International Conference on 3D Vision (pp. 318-327). Piscataway, NJ: IEEE. doi:10.1109/3DV.2019.00043. [PubMan] : Egger, B., Smith, W. A. P., Tewari, A., Wuhrer, S., Zollhöfer, M., Beeler, T., Bernard, F., Bolkart, T., Kortylewski, A., Romdhani, S., Theobalt, C., Blanz, V., & Vetter, T. (2019). 3D Morphable Face Models -- Past, Present and Future. Retrieved from http://arxiv.org/abs/1909.01815. [PubMan]