Researcher Portfolio

 
   

Akyel, Dominic

Institutioneller Wandel im gegenwärtigen Kapitalismus, MPI for the Study of Societies, Max Planck Society, International Max Planck Research School on the Social and Political Constitution of the Economy, MPI for the Study of Societies, Max Planck Society  

 

Researcher Profile

 
Position: Institutioneller Wandel im gegenwärtigen Kapitalismus, MPI for the Study of Societies, Max Planck Society
Position: International Max Planck Research School on the Social and Political Constitution of the Economy, MPI for the Study of Societies, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons41123

External references

 
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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]