Aude Oliva

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Antonio TorralbaProfessor of Computer Science, MITEmail confirmado em csail.mit.edu
Bolei ZhouAssistant Professor at UCLAEmail confirmado em ucla.edu
Aditya KhoslaCTO, Iterative HealthEmail confirmado em iterative.health
Zoya Bylinskii (Gavrilov)Research Scientist, AdobeEmail confirmado em adobe.com
Dimitrios PantazisMcGovern Institute for Brain Research, MITEmail confirmado em mit.edu
Radoslaw Martin CichyFreie Universität BerlinEmail confirmado em zedat.fu-berlin.de
Àgata LapedrizaUniversitat Oberta de Catalunya, Northeastern UniversityEmail confirmado em uoc.edu
Talia KonkleProfessor, Harvard UniversityEmail confirmado em fas.harvard.edu
Krista EhingerSchool of Computing and Information Systems, The University of MelbourneEmail confirmado em unimelb.edu.au
George A. AlvarezProfessor of Psychology, Harvard UniversityEmail confirmado em wjh.harvard.edu
Timothy F. BradyProfessor, University of California, San DiegoEmail confirmado em ucsd.edu
Philippe G. SchynsProfessor of Cognitive Neuroscience, University of GlasgowEmail confirmado em glasgow.ac.uk
Phillip IsolaAssociate Professor, MITEmail confirmado em mit.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabEmail confirmado em us.ibm.com
Alex AndonianPhD in EECS, MITEmail confirmado em mit.edu
Fredo DurandProfessor of Computer Science, MITEmail confirmado em mit.edu
Rameswar PandaDistinguished Engineer, IBM ResearchEmail confirmado em ibm.com
Michelle R. GreeneAssistant Professor of Psychology, Barnard College, Columbia UniversityEmail confirmado em barnard.edu
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityEmail confirmado em seas.harvard.edu
Wilma Alice BainbridgeAssistant Professor, University of Chicago Department of PsychologyEmail confirmado em mit.edu

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Aude Oliva

Senior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director Industry

Email confirmado em mit.edu - Página inicial

Human and machine intelligence


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016	12829	2016
Modeling the shape of the scene: A holistic representation of the spatial envelope A Oliva, A Torralba International journal of computer vision 42 (3), 145-175, 2001	8585	2001
Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017	5100	2017
Sun database: Large-scale scene recognition from abbey to zoo J Xiao, J Hays, KA Ehinger, A Oliva, A Torralba 2010 IEEE computer society conference on computer vision and pattern …, 2010	4454	2010
Learning deep features for scene recognition using places database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva Advances in neural information processing systems 27, 2014	3819	2014
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. A Torralba, A Oliva, MS Castelhano, JM Henderson Psychological review 113 (4), 766, 2006	2237	2006
Building the gist of a scene: The role of global image features in recognition A Oliva, A Torralba Progress in brain research 155, 23-36, 2006	2017	2006
Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Computer Vision and Pattern Recognition (CVPR), 2017	1877	2017
Object detectors emerge in deep scene cnns Z Bolei, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations (ICLR) 2015, 2014	1577*	2014
Visual long-term memory has a massive storage capacity for object details TF Brady, T Konkle, GA Alvarez, A Oliva Proceedings of the National Academy of Sciences 105 (38), 14325-14329, 2008	1489	2008
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	1339	2018
The role of context in object recognition A Oliva, A Torralba Trends in cognitive sciences 11 (12), 520-527, 2007	1303	2007
Statistics of natural image categories A Torralba, A Oliva Network: computation in neural systems 14 (3), 391, 2003	1229	2003
A feedforward architecture accounts for rapid categorization T Serre, A Oliva, T Poggio Proceedings of the national academy of sciences 104 (15), 6424-6429, 2007	1218	2007
Ego4d: Around the world in 3,000 hours of egocentric video K Grauman, A Westbury, E Byrne, Z Chavis, A Furnari, R Girdhar, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022	1060	2022
From blobs to boundary edges: Evidence for time-and spatial-scale-dependent scene recognition PG Schyns, A Oliva Psychological science 5 (4), 195-200, 1994	1013	1994
What do different evaluation metrics tell us about saliency models? Z Bylinskii, T Judd, A Oliva, A Torralba, F Durand IEEE transactions on pattern analysis and machine intelligence 41 (3), 740-757, 2018	975	2018
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence RM Cichy, A Khosla, D Pantazis, A Torralba, A Oliva Scientific reports 6 (1), 27755, 2016	871*	2016
What makes a visualization memorable? MA Borkin, AA Vo, Z Bylinskii, P Isola, S Sunkavalli, A Oliva, H Pfister IEEE transactions on visualization and computer graphics 19 (12), 2306-2315, 2013	849	2013
Resolving human object recognition in space and time RM Cichy, D Pantazis, A Oliva Nature neuroscience 17 (3), 455-462, 2014	826	2014

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