| Viewpoint invariant texture description using fractal analysis Y Xu, H Ji, C Fermüller International Journal of Computer Vision 83 (1), 85-100, 2009 | 402 | 2009 |
| 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 | 381 | 2018 |
| Affordance detection of tool parts from geometric features A Myers, CL Teo, C Fermüller, Y Aloimonos IEEE International Conference on Robotics and Automation, 2015 | 373 | 2015 |
| Robot Learning Manipulation Action Plans by “Watching” Unconstrained Videos from the World Wide Web Y Yang, Y Li, C Fermüller, Y Aloimonos The Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015 | 273 | 2015 |
| Robust wavelet-based super-resolution reconstruction: theory and algorithm H Ji, C Fermuller Pattern Analysis and Machine Intelligence, IEEE Transactions on 31 (4), 649-660, 2009 | 168 | 2009 |
| Motion segmentation using occlusions AS Ogale, C Fermuller, Y Aloimonos IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6), 988-992, 2005 | 156 | 2005 |
| The statistics of optical flow C Fermüller, D Shulman, Y Aloimonos Computer Vision and Image Understanding 82 (1), 1-32, 2001 | 136 | 2001 |
| 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 | 134* | 2020 |
| Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception A Mitrokhin, P Sutor, C Fermüller, Y Aloimonos Science Robotics 4 (30), eaaw6736, 2019 | 133 | 2019 |
| Scale-space texture description on SIFT-like textons Y Xu, S Huang, H Ji, C Fermüller Computer Vision and Image Understanding 116 (9), 999-1013, 2012 | 130 | 2012 |
| 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 | 113 | 2019 |
| Qualitative egomotion C Fermüller, Y Aloimonos International Journal of Computer Vision 15 (1), 7-29, 1995 | 111 | 1995 |
| A projective invariant for textures Y Xu, H Ji, C Fermuller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 110 | 2006 |
| Image understanding using vision and reasoning through scene description graph S Aditya, Y Yang, C Baral, Y Aloimonos, C Fermüller Computer Vision and Image Understanding 173, 33-45, 2018 | 106 | 2018 |
| Evdodgenet: Deep dynamic obstacle dodging with event cameras NJ Sanket, CM Parameshwara, CD Singh, AV Kuruttukulam, C Fermüller, ... 2020 IEEE International Conference on Robotics and Automation (ICRA), 10651 …, 2020 | 104* | 2020 |
| Grasp type revisited: A modern perspective on a classical feature for vision Y Yang, C Fermuller, Y Li, Y Aloimonos Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 102 | 2015 |
| Gapflyt: Active vision based minimalist structure-less gap detection for quadrotor flight NJ Sanket, CD Singh, K Ganguly, C Fermüller, Y Aloimonos IEEE Robotics and Automation Letters 3 (4), 2799-2806, 2018 | 98* | 2018 |
| Uncertainty in visual processes predicts geometrical optical illusions C Fermüller, H Malm Vision research 44 (7), 727-749, 2004 | 98 | 2004 |
| Real-time clustering and multi-target tracking using event-based sensors F Barranco, C Fermuller, E Ros 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 90 | 2018 |
| Effects of errors in the viewing geometry on shape estimation LF Cheong, C Fermüller, Y Aloimonos Computer Vision and Image Understanding 71 (3), 356-372, 1998 | 90 | 1998 |
AloimonosProfessor of Computer Science, University of Maryland, Director Computer Vision LaboratoryAdresă de e-mail confirmată pe cs.umd.edu
