Eleonora Vig

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Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Verified email at tri.global
Erhardt BarthProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
David CoxIBM Director, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Seyed Majid AzimiGerman Aerospace Center (DLR)Verified email at dlr.de
Peter ReinartzHead of Department at German Aerospace Center (DLR), Prof. at University of OsnabrueckVerified email at dlr.de
Corentin HenryDLRVerified email at dlr.de
Thomas MartinetzProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Walter ScheirerDennis O. Doughty Associate Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Michael MilfordQUT Professor | Joint Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Reza BahmanyarRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, GermanyVerified email at dlr.de
Naila MurrayFacebook AI ResearchVerified email at fb.com
Saumya JetleyPostdoctoral Researcher, INRIA Paris SaclayVerified email at inria.fr
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
Franz KurzVerified email at dlr.de
César Roberto de SouzaNAVER LABS EuropeVerified email at naverlabs.com
Karl GegenfurtnerProfessor of Psychology, Giessen University, GermanyVerified email at psychol.uni-giessen.de
Adrian MosSenior Research Scientist and Group Lead Systemic AI, Naver Labs EuropeVerified email at naverlabs.com

Eleonora Vig

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Virtual worlds as proxy for multi-object tracking analysis A Gaidon, Q Wang, Y Cabon, E Vig Proceedings of the IEEE conference on computer vision and pattern …, 2016	878	2016
Large-scale optimization of hierarchical features for saliency prediction in natural images E Vig, M Dorr, D Cox Proceedings of the IEEE conference on computer vision and pattern …, 2014	418	2014
Towards multi-class object detection in unconstrained remote sensing imagery SM Azimi, E Vig, R Bahmanyar, M Körner, P Reinartz Asian Conference on Computer Vision, 150-165, 2018	187	2018
End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig Proceedings of the IEEE conference on computer vision and pattern …, 2016	144	2016
Space-variant descriptor sampling for action recognition based on saliency and eye movements E Vig, M Dorr, D Cox European conference on computer vision, 84-97, 2012	144	2012
Sympathy for the details: Dense trajectories and hybrid classification architectures for action recognition CR Souza, A Gaidon, E Vig, AM López European conference on computer vision, 697-716, 2016	50	2016
Vision‐based simultaneous localization and mapping in changing outdoor environments M Milford, E Vig, W Scheirer, D Cox Journal of Field Robotics 31 (5), 780-802, 2014	47	2014
Intrinsic dimensionality predicts the saliency of natural dynamic scenes E Vig, M Dorr, T Martinetz, E Barth IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1080-1091, 2011	47	2011
Efficient visual coding and the predictability of eye movements on natural movies E Vig, M Dorr, E Barth Spatial Vision 22 (5), 397-408, 2009	45	2009
Condition-invariant, top-down visual place recognition M Milford, W Scheirer, E Vig, A Glover, O Baumann, J Mattingley, D Cox 2014 IEEE International Conference on Robotics and Automation (ICRA), 5571-5577, 2014	42	2014
End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig US Patent 9,830,529, 2017	38	2017
Skyscapes fine-grained semantic understanding of aerial scenes SM Azimi, C Henry, L Sommer, A Schumann, E Vig Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	33	2019
Multi-object tracking with generic object proposals A Gaidon, E Vig US Patent 9,443,320, 2016	29	2016
Online domain adaptation for multi-object tracking A Gaidon, E Vig arXiv preprint arXiv:1508.00776, 2015	24	2015
Generating a virtual world to assess real-world video analysis performance Q Wang, A Gaidon, E Vig US Patent 10,019,652, 2018	18	2018
Eye movements show optimal average anticipation with natural dynamic scenes E Vig, M Dorr, T Martinetz, E Barth Cognitive Computation 3 (1), 79-88, 2011	15	2011
Eye movement prediction and variability on natural video data sets M Dorr, E Vig, E Barth Visual cognition 20 (4-5), 495-514, 2012	13	2012
Eye movement modelling and gaze guidance M Dorr, E Vig, KR Gegenfurtner, T Martinetz, E Barth Fourth International Workshop on Human-Computer Conversation, 2008	12	2008
Towards condition-invariant, top-down visual place recognition M Milford, E Vig, W Scheirer, D Cox Australasian Conference on Robotics and Automation, 1-10, 2013	11	2013
Saliency-based selection of sparse descriptors for action recognition E Vig, M Dorr, DD Cox 2012 19th IEEE International Conference on Image Processing, 1405-1408, 2012	11	2012

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