Viewpoint invariant texture description using fractal analysis Y Xu, H Ji, C Fermüller International Journal of Computer Vision 83 (1), 85-100, 2009 | 397 | 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 | 366 | 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 | 361 | 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 | 271 | 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 | 167 | 2009 |
Motion segmentation using occlusions AS Ogale, C Fermuller, Y Aloimonos IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6), 988-992, 2005 | 154 | 2005 |
The statistics of optical flow C Fermüller, D Shulman, Y Aloimonos Computer Vision and Image Understanding 82 (1), 1-32, 2001 | 134 | 2001 |
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 | 131 | 2012 |
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 | 129* | 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 | 125 | 2019 |
Qualitative egomotion C Fermüller, Y Aloimonos International Journal of Computer Vision 15 (1), 7-29, 1995 | 112 | 1995 |
A projective invariant for textures Y Xu, H Ji, C Fermuller 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 111 | 2006 |
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 | 105 | 2019 |
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 | 102* | 2020 |
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 | 99 | 2018 |
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 | 98 | 2015 |
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 | 97 | 2018 |
Uncertainty in visual processes predicts geometrical optical illusions C Fermüller, H Malm Vision research 44 (7), 727-749, 2004 | 97 | 2004 |
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 | 95* | 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 | 93 | 1998 |