Eleonora Vig

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Michael DorrAdaptive Sensory TechnologyVerified email at tum.de
Adrien GaidonAdjunct Professor, StanfordVerified email at stanford.edu
Erhardt BarthProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Seyed Majid AzimiGerman Aerospace Center (DLR)Verified email at dlr.de
David CoxVP, AI Models; IBM Director, MIT-IBM Watson AI Lab, IBM ResearchVerified email at ibm.com
Peter ReinartzHead of Department at German Aerospace Center (DLR), Prof. at University of OsnabrueckVerified email at dlr.de
Corentin HenryDLRVerified email at dlr.de
Reza BahmanyarRemote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Wessling, GermanyVerified email at dlr.de
Thomas MartinetzProfessor of Computer Science, University of LübeckVerified email at inb.uni-luebeck.de
Naila MurrayFacebook AI ResearchVerified email at fb.com
Saumya JetleyIndependent Researcher and Technology ConsultantVerified email at robots.ox.ac.uk
Walter ScheirerDennis O. Doughty Collegiate Professor of EngineeringVerified email at nd.edu
Michael MilfordQUT Professor | Director, QUT Robotics Centre | ARC Laureate Fellow | Microsoft FellowVerified email at qut.edu.au
Antonio Manuel López PeñaProfessor Computer Science, ICREA Academia; DCC & CVC at Univ. Autònoma de Barcelona (UAB)Verified email at cvc.uab.es
Loris BazzaniPrincipal Computer Vision Scientist, AmazonVerified email at amazon.com
Franz KurzDLR German Aerospace CenterVerified 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
Nina MerkleGerman Aerospace Center (DLR)Verified email at dlr.de
Jiaojiao TianDLRVerified email at dlr.de

Eleonora Vig

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Computer Vision Human Vision Machine Learning Deep Learning


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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	1343	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	520	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	379	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	181	2016
Space-variant descriptor sampling for action recognition based on saliency and eye movements E Vig, M Dorr, D Cox Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	154	2012
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	65	2019
End-to-end saliency mapping via probability distribution prediction S Jetley, N Murray, E Vig US Patent 9,830,529, 2017	60	2017
Sympathy for the details: Dense trajectories and hybrid classification architectures for action recognition CR De Souza, A Gaidon, E Vig, AM López Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016	57	2016
Learning attribute-driven disentangled representations for interactive fashion retrieval Y Hou, E Vig, M Donoser, L Bazzani Proceedings of the IEEE/CVF International conference on computer vision …, 2021	53	2021
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	52	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	52	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	52	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	47	2014
Multi-object tracking with generic object proposals A Gaidon, E Vig US Patent 9,443,320, 2016	38	2016
Online domain adaptation for multi-object tracking A Gaidon, E Vig arXiv preprint arXiv:1508.00776, 2015	34	2015
Generating a virtual world to assess real-world video analysis performance Q Wang, A Gaidon, E Vig US Patent 10,019,652, 2018	31	2018
Aerial road segmentation in the presence of topological label noise C Henry, F Fraundorfer, E Vig 2020 25th International Conference on Pattern Recognition (ICPR), 2336-2343, 2021	20	2021
Eye movement prediction and variability on natural video data sets M Dorr, E Vig, E Barth Visual cognition 20 (4-5), 495-514, 2012	19	2012
Eye movements show optimal average anticipation with natural dynamic scenes E Vig, M Dorr, T Martinetz, E Barth Cognitive Computation 3, 79-88, 2011	17	2011
System and method for video classification using a hybrid unsupervised and supervised multi-layer architecture CR De Souza, A Gaidon, E Vig, AM Lopez US Patent 9,946,933, 2018	16	2018

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