| Event-based moving object detection and tracking A Mitrokhin, C Fermüller, C Parameshwara, Y Aloimonos 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 364 | 2018 |
| Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception A Mitrokhin, P Sutor, C Fermüller, Y Aloimonos Science Robotics 4 (30), eaaw6736, 2019 | 124 | 2019 |
| EV-IMO: Motion segmentation dataset and learning pipeline for event cameras A Mitrokhin, C Ye, C Fermüller, Y Aloimonos, T Delbruck 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 104 | 2019 |
| Learning visual motion segmentation using event surfaces A Mitrokhin, Z Hua, C Fermuller, Y Aloimonos Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 69 | 2020 |
| Unsupervised learning of dense optical flow, depth and egomotion from sparse event data C Ye, A Mitrokhin, C Fermüller, JA Yorke, Y Aloimonos arXiv preprint arXiv:1809.08625, 2018 | 69 | 2018 |
| Unsupervised learning of dense optical flow, depth and egomotion with event-based sensors C Ye, A Mitrokhin, C Fermüller, JA Yorke, Y Aloimonos 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 65 | 2020 |
| Network deconvolution C Ye, M Evanusa, H He, A Mitrokhin, T Goldstein, JA Yorke, C Fermüller, ... arXiv preprint arXiv:1905.11926, 2019 | 51 | 2019 |
| Symbolic representation and learning with hyperdimensional computing A Mitrokhin, P Sutor, D Summers-Stay, C Fermüller, Y Aloimonos Frontiers in Robotics and AI 7, 63, 2020 | 30 | 2020 |
| Evimo2: an event camera dataset for motion segmentation, optical flow, structure from motion, and visual inertial odometry in indoor scenes with monocular or stereo algorithms L Burner, A Mitrokhin, C Fermüller, Y Aloimonos arXiv preprint arXiv:2205.03467, 2022 | 22 | 2022 |
| Unsupervised learning of dense optical flow, depth and egomotion with event-based sensors. In 2020 IEEE C Ye, A Mitrokhin, C Fermüller, JA Yorke, Y Aloimonos RSJ International Conference on Intelligent Robots and Systems (IROS), 5831-5838, 0 | 10 | |
| Ev-imo: Motion segmentation dataset and learning pipeline for event cameras. In 2019 IEEE A Mitrokhin, C Ye, C Fermüller, Y Aloimonos, T Delbruck RSJ International Conference on Intelligent Robots and Systems (IROS), 6105-6112, 0 | 9 | |
| SceneCalib: Automatic targetless calibration of cameras and LiDARs in autonomous driving A Sen, G Pan, A Mitrokhin, A Islam 2023 IEEE International Conference on Robotics and Automation (ICRA), 7771-7777, 2023 | 5 | 2023 |
| Ground truth data generation for deep neural network perception in autonomous driving applications T Wekel, J Pehserl, J Meyer, J Guza, A Mitrokhin, R Whitcomb, M Scoffier, ... US Patent App. 17/187,350, 2022 | 3 | 2022 |
| Automatic propagation of labels between sensor representations for autonomous systems and applications A Mitrokhin, R Parys, A Solovey, T Wekel US Patent App. 18/305,185, 2024 | | 2024 |
| Generating maps representing dynamic objects for autonomous systems and applications A Mitrokhin, R Parys, A Solovey, T Wekel US Patent App. 18/305,153, 2024 | | 2024 |
| Motion Segmentation and Egomotion Estimation with Event-Based Cameras A Mitrokhin University of Maryland, College Park, 2020 | | 2020 |