Beyond sharing weights for deep domain adaptation A Rozantsev, M Salzmann, P Fua IEEE transactions on pattern analysis and machine intelligence 41 (4), 801-814, 2018 | 553 | 2018 |
Detecting Flying Objects using a Single Moving Camera A Rozantsev, V Lepetit, P Fua IEEE Transactions on Pattern Analysis and Machine Intelligence 39, 879 - 892, 2017 | 297 | 2017 |
Direct prediction of 3d body poses from motion compensated sequences B Tekin, A Rozantsev, V Lepetit, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 257 | 2016 |
Flying objects detection from a single moving camera A Rozantsev, V Lepetit, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 178 | 2014 |
On rendering synthetic images for training an object detector A Rozantsev, V Lepetit, P Fua Computer Vision and Image Understanding 137, 24 - 37, 2015 | 168 | 2015 |
Vision-based Unmanned Aerial Vehicle detection and tracking for sense and avoid systems KR Sapkota, S Roelofsen, A Rozantsev, V Lepetit, D Gillet, P Fua, ... Intelligent Robots and Systems (IROS), 1556 - 1561, 2016 | 69 | 2016 |
Kaolin: A pytorch library for accelerating 3d deep learning research KM Jatavallabhula, E Smith, JF Lafleche, CF Tsang, A Rozantsev, ... arXiv preprint arXiv:1911.05063, 2019 | 62 | 2019 |
Residual parameter transfer for deep domain adaptation A Rozantsev, M Salzmann, P Fua Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 62 | 2018 |
Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras A Rozantsev, SN Sinha, D Dey, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 42 | 2017 |
Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence P Fua, V Lepetit, A Rozantsev, B Tekin US Patent App. 15/498,558, 2017 | 37 | 2017 |
Gavriel State, Jason Gorski, Tommy Xiang, Jianing Li, Michael Li, and Rev Lebaredian. Kaolin: A pytorch library for accelerating 3d deep learning research CF Tsang, M Shugrina, JF Lafleche, T Takikawa, J Wang, C Loop, ... | 31 | 2022 |
Kaolin: A pytorch library for accelerating 3d deep learning research J Krishna Murthy, E Smith, JF Lafleche, CF Tsang, A Rozantsev, W Chen, ... arXiv preprint arXiv:1911.05063 1, 2019 | 19 | 2019 |
2D soliton formation of BEC at its interaction with external potential VA Trofimov, AV Rozantsev Photonic Fiber and Crystal Devices: Advances in Materials and Innovations in …, 2012 | 7 | 2012 |
Vision-based detection of aircrafts and UAVs A Rozantsev École Polytechnique Fédérale de Lausanne, 2017 | 6 | 2017 |
Motion prediction using one or more neural networks A Rozantsev, M Foco US Patent App. 17/611,763, 2022 | 3 | 2022 |
Visual Detection and Tracking of Flying Objects in Unmanned Aerial Vehicles A Rozantsev | 1 | 2013 |
Selecting representative image views for 3d object models in synthetic content creation systems and applications M Foco, M Kass, A Rozantsev US Patent App. 18/147,426, 2024 | | 2024 |
Replicating physical environments and generating 3d assets for synthetic scene generation M Foco, A Bódis-Szomorú, I Deutsch, A Rozantsev, M Shelley, J Wang, ... US Patent App. 18/066,135, 2024 | | 2024 |
Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research K Murthy Jatavallabhula, E Smith, JF Lafleche, C Fuji Tsang, A Rozantsev, ... arXiv e-prints, arXiv: 1911.05063, 2019 | | 2019 |
Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG A Rozantsev, CM Christoudias, V Lepetit, P Fua | | 2013 |