Publications

  • A. Rozantsev, M. Salzmann and P. Fua, Residual Parameter Transfer for Deep Domain Adaptation, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, 2018, [pdf]
  • A. Rozantsev, M. Salzmann and P. Fua, Beyond Sharing Weights for Deep Domain Adaptation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018, [pdf]
  • A. Rozantsev, S.N. Sinha, D. Dey and P. Fua, Flight Dynamics-based Recovery of a UAV Trajectory using Ground Cameras, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, 2017, [pdf][CVPR oral]
  • A. Rozantsev, V. Lepetit and P. Fua, Detecting Flying Objects Using a Single Moving Camera, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2017, [pdf][code][project]
  • K. Sapkota, S. Roelofsen, A. Rozantsev, V. Lepetit, D. Gillet, P. Fua and A. Martinoli, Vision-Based Unmanned Aerial Vehicle Detection and Tracking for Sense and Avoid Systems, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, Korea, 2016, [pdf] [project]
  • B. Tekin, A. Rozantsev, V. Lepetit and P. Fua, Direct Prediction of 3D Body Poses from Motion Compensated Sequences, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, USA, 2016, [pdf] [project]
  • A. Rozantsev, V. Lepetit and P. Fua, Flying Objects Detection from a Single Moving Camera, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts, USA, 2015, [pdf][code] [project]
  • A. Rozantsev, V. Lepetit and P. Fua, On Rendering Synthetic Images for Training an Object Detector, Computer Vision and Image Understanding (CVIU), 2015, [pdf] [project]
  • A. Rozantsev, C. M. Christoudias, V. Lepetit and P. Fua, Detection of Aircrafts on a Collision Course using Spatio-Temporal HOG, Technical Report, Ecole Polytechnique Federale de Lausanne (EPFL), 2013, [pdf]

Patent

  • P. Fua, V. Lepetit, A. Rozantsev and B. Tekin, Method, System and Device for Direct Prediction of 3D Body Poses from Motion Compensated Sequence, US Patent, No: US2017316578, 2017.