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
Thomas MartinetzProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Walter ScheirerAssociate Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Michael MilfordQUT Professor | Director (acting), QUT Robotics Centre | Microsoft Fellow | Chief Investigator, ARCVerified email at qut.edu.au
Naila MurrayFacebook AI ResearchVerified email at fb.com
Saumya JetleyPostdoctoral Researcher, INRIA Paris SaclayVerified email at inria.fr
Corentin HenryDLRVerified email at dlr.de
Antonio Manuel LopezUniversitat Autònoma de Barcelona (UAB) // Computer Science Dpt & Computer Vision Center (CVC)Verified email at cvc.uab.es
Reza BahmanyarRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, GermanyVerified email at dlr.de
César Roberto de SouzaNAVER LABS EuropeVerified email at naverlabs.com
Franz KurzVerified email at dlr.de
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	663	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	357	2014
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	143	2012
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	123	2016
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	90	2018
Sympathy for the details: Dense trajectories and hybrid classification architectures for action recognition CR De Souza, A Gaidon, E Vig, AM López European conference on computer vision, 697-716, 2016	49	2016
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	46	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	38	2014
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	37	2014
End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig US Patent 9,830,529, 2017	30	2017
Online domain adaptation for multi-object tracking A Gaidon, E Vig arXiv preprint arXiv:1508.00776, 2015	20	2015
Multi-object tracking with generic object proposals A Gaidon, E Vig US Patent 9,443,320, 2016	19	2016
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	15	2019
Eye movement prediction and variability on natural video data sets M Dorr, E Vig, E Barth Visual cognition 20 (4-5), 495-514, 2012	14	2012
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	12	2011
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
Generating a virtual world to assess real-world video analysis performance Q Wang, A Gaidon, E Vig US Patent 10,019,652, 2018	11	2018
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
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	10	2013

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