2026 Aude Oliva: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	78	1160	1122	614	590	289	66830

Research.com Recognitions

2014 - Fellow of John Simon Guggenheim Memorial Foundation

Overview

Aude Oliva is affiliated with MIT in the United States and conducts research primarily in the fields of Computer Science and Neuroscience. Their work spans multiple subfields, including Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence, Sociology and Political Science, and Human-Computer Interaction.

The scientist's research topics cover a range of areas focused on perception, brain function, and machine learning. Key topics include:

Multimodal Machine Learning Applications
Human Pose and Action Recognition
Neural dynamics and brain function
Face Recognition and Perception
Visual Attention and Saliency Detection
Visual perception and processing mechanisms
Anomaly Detection Techniques and Applications

Aude Oliva has published extensively in various venues, with significant contributions to:

arXiv (Cornell University)
Journal of Vision
bioRxiv (Cold Spring Harbor Laboratory)
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent publications authored or co-authored by them are:

"Ego4D: Around the World in 3,000 Hours of Egocentric Video," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
"A M/EEG-fMRI Fusion Primer: Resolving Human Brain Responses in Space and Time," 2020, Neuron
"Visual experience is not necessary for the development of face-selectivity in the lateral fusiform gyrus," 2020, Proceedings of the National Academy of Sciences
"IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers," 2021, arXiv (Cornell University)
"AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Frequent collaborators include Rogério Feris, Rameswar Panda, Camilo Fosco, Benjamin Lahner, and Kate Saenko, reflecting a diverse network engaged in computer vision and related research fields.

In recognition of their work, Aude Oliva was named a Fellow of the John Simon Guggenheim Memorial Foundation in 2014.

Best Publications

Learning Deep Features for Discriminative Localization

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva

10765
Citations
Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

Aude Oliva;Antonio Torralba

8409
Citations
Places: A 10 Million Image Database for Scene Recognition

Bolei Zhou;Agata Lapedriza;Aditya Khosla;Aude Oliva

4065
Citations
SUN database: Large-scale scene recognition from abbey to zoo

Jianxiong Xiao;James Hays;Krista A. Ehinger;Aude Oliva

3663
Citations
Learning Deep Features for Scene Recognition using Places Database

Bolei Zhou;Agata Lapedriza;Jianxiong Xiao;Antonio Torralba

3309
Citations
Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.

Antonio Torralba;Aude Oliva;Monica S. Castelhano;John M. Henderson

2196
Citations
Building the gist of a scene: the role of global image features in recognition.

Aude Oliva;Antonio Torralba

1949
Citations
Visual long-term memory has a massive storage capacity for object details

Timothy F. Brady;Talia Konkle;George A. Alvarez;Aude Oliva

1454
Citations
Network Dissection: Quantifying Interpretability of Deep Visual Representations

David Bau;Bolei Zhou;Aditya Khosla;Aude Oliva

1356
Citations
The role of context in object recognition

Aude Oliva;Antonio Torralba

1316
Citations
A feedforward architecture accounts for rapid categorization

Thomas Serre;Aude Oliva;Tomaso Poggio

1207
Citations
Statistics of natural image categories.

Antonio Torralba;Aude Oliva

1178
Citations
Object Detectors Emerge in Deep Scene CNNs

Bolei Zhou;Aditya Khosla;Agata Lapedriza;Aude Oliva

1141
Citations
Temporal Relational Reasoning in Videos

Bolei Zhou;Alex Andonian;Aude Oliva;Antonio Torralba

1117
Citations
From Blobs to Boundary Edges: Evidence for Time- and Spatial-Scale-Dependent Scene Recognition

Philippe G. Schyns;Philippe G. Schyns;Aude Oliva

994
Citations
Resolving human object recognition in space and time

Radoslaw Martin Cichy;Dimitrios Pantazis;Aude Oliva

864
Citations
Comparison of deep neural networks to spatio-temporal cortical dynamics of human visual object recognition reveals hierarchical correspondence

Radoslaw Martin Cichy;Aditya Khosla;Dimitrios Pantazis;Antonio Torralba

784
Citations
What Do Different Evaluation Metrics Tell Us About Saliency Models

Zoya Bylinskii;Tilke Judd;Aude Oliva;Antonio Torralba

741
Citations
What Makes a Visualization Memorable

Michelle A. Borkin;Azalea A. Vo;Zoya Bylinskii;Phillip Isola

735
Citations
Gist of the Scene

Aude Oliva

712
Citations
Top-down control of visual attention in object detection

A. Oliva;A. Torralba;M.S. Castelhano;J.M. Henderson

672
Citations

Frequent Co-Authors

Antonio Torralba MIT

Bolei Zhou University of California, Los Angeles

Aditya Khosla MIT

George A. Alvarez Harvard University

Phillip Isola MIT

Jeremy M. Wolfe Brigham and Women's Hospital

Jianxiong Xiao AutoX, Inc.

Frédo Durand MIT

Hanspeter Pfister Harvard University

Philippe G. Schyns University of Glasgow

External Links

Wikipedia of Aude Oliva Personal website of Aude Oliva Google Scholar page

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