Követés
Cornelia Fermuller
Cornelia Fermuller
Research Scientist, Computer Vision and Human Vision, University of Maryland
E-mail megerősítve itt: cfar.umd.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Viewpoint invariant texture description using fractal analysis
Y Xu, H Ji, C Fermüller
International Journal of Computer Vision 83 (1), 85-100, 2009
3862009
Affordance detection of tool parts from geometric features
A Myers, CL Teo, C Fermüller, Y Aloimonos
IEEE International Conference on Robotics and Automation, 2015
3212015
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
3062018
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
2582015
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
1642009
Motion segmentation using occlusions
AS Ogale, C Fermuller, Y Aloimonos
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (6), 988-992, 2005
1532005
The statistics of optical flow
C Fermüller, D Shulman, Y Aloimonos
Computer Vision and Image Understanding 82 (1), 1-32, 2001
1322001
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
1302012
Qualitative egomotion
C Fermüller, Y Aloimonos
International Journal of Computer Vision 15 (1), 7-29, 1995
1121995
Learning sensorimotor control with neuromorphic sensors: Toward hyperdimensional active perception
A Mitrokhin, P Sutor, C Fermüller, Y Aloimonos
Science Robotics 4 (30), eaaw6736, 2019
1092019
A projective invariant for textures
Y Xu, H Ji, C Fermuller
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
1082006
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
101*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
932015
Uncertainty in visual processes predicts geometrical optical illusions
C Fermüller, H Malm
Vision research 44 (7), 727-749, 2004
922004
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
901998
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
892018
Direct perception of three-dimensional motion from patterns of visual motion
C Fermuller, Y Aloimonos
Science. v270 i5244, 1995
891995
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
88*2018
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
852019
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
842018
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