Aude Oliva

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Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Bolei ZhouAssistant Professor at UCLAVerified email at ucla.edu
Aditya KhoslaCTO, Iterative HealthVerified email at iterative.health
Zoya Bylinskii (Gavrilov)Research Scientist, AdobeVerified email at adobe.com
Dimitrios PantazisMcGovern Institute for Brain Research, MITVerified email at mit.edu
Radoslaw Martin CichyFreie Universität BerlinVerified email at zedat.fu-berlin.de
Talia KonkleProfessor, Harvard UniversityVerified email at fas.harvard.edu
Àgata LapedrizaUniversitat Oberta de Catalunya, Northeastern UniversityVerified email at uoc.edu
Krista EhingerSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
George A. AlvarezProfessor of Psychology, Harvard UniversityVerified email at wjh.harvard.edu
Philippe G. SchynsProfessor of Cognitive Neuroscience, University of GlasgowVerified email at glasgow.ac.uk
Timothy F. BradyProfessor, University of California, San DiegoVerified email at ucsd.edu
Phillip IsolaAssociate Professor, MITVerified email at mit.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Alex AndonianPhD in EECS, MITVerified email at mit.edu
Fredo DurandProfessor of Computer Science, MITVerified email at mit.edu
Rameswar PandaDistinguished Engineer, IBM ResearchVerified email at ibm.com
Michelle R. GreeneAssistant Professor of Psychology, Barnard College, Columbia UniversityVerified email at barnard.edu
Hanspeter PfisterAn Wang Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
John M. HendersonUniversity of California, DavisVerified email at ucdavis.edu

Aude Oliva

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

Verified email at mit.edu - Homepage

Human and machine intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	11935	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	8499	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	4617	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	4121	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	3751	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	2200	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	1968	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	1762	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	1537*	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	1433	2008
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	1260	2018
The role of context in object recognition A Oliva, A Torralba Trends in cognitive sciences 11 (12), 520-527, 2007	1253	2007
Statistics of natural image categories A Torralba, A Oliva Network: computation in neural systems 14 (3), 391, 2003	1201	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	1200	2007
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	990	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	919	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	821*	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	814	2013
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	807	2022
Resolving human object recognition in space and time RM Cichy, D Pantazis, A Oliva Nature neuroscience 17 (3), 455-462, 2014	780	2014

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