Semantic Organization of Scenes using Discriminant Structural Templates. - Antonio Torralba 001; Aude Oliva (ICCV, 1999)

Classification of scene photographs from local orientations features. - Anne Guérin-Dugué; Aude Oliva (Pattern Recognit. Lett., 2000)

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. - Aude Oliva; Antonio Torralba 001 (Int. J. Comput. Vis., 2001)

Scene-Centered Description from Spatial Envelope Properties. - Aude Oliva; Antonio Torralba 001 (Biologically Motivated Computer Vision, 2002)

Depth Estimation from Image Structure. - Antonio Torralba 001; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Top-down control of visual attention in object detection. - Aude Oliva; Antonio Torralba 001; Monica S. Castelhano; John M. Henderson (ICIP (1), 2003)

Human Learning of Contextual Priors for Object Search: Where does the time go? - Barbara Hidalgo-Sotelo; Aude Oliva; Antonio Torralba 001 (CVPR Workshops, 2005)

Ethics in image manipulation Video presentations from this panel session are available on the citation page. - Kathryn Carlson; Brian DeLevie; Aude Oliva (SIGGRAPH Panels, 2006)

Hybrid images. - Aude Oliva; Antonio Torralba 001; Philippe G. Schyns (ACM Trans. Graph., 2006)

SUN database: Large-scale scene recognition from abbey to zoo. - Jianxiong Xiao; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2010)

Canonical views of scenes depend on the shape of the space. - Krista A. Ehinger; Aude Oliva (CogSci, 2011)

Estimating scene typicality from human ratings and image features. - Krista A. Ehinger; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (CogSci, 2011)

What makes an image memorable? - Phillip Isola; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (CVPR, 2011)

Understanding the Intrinsic Memorability of Images. - Phillip Isola; Devi Parikh; Antonio Torralba 001; Aude Oliva (NIPS, 2011)

Establishing a Database for Studying Human Face Photograph Memory. - Wilma A. Bainbridge; Phillip Isola; Idan Blank; Aude Oliva (CogSci, 2012)

Recognizing scene viewpoint using panoramic place representation. - Jianxiong Xiao; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (CVPR, 2012)

Memorability of Image Regions. - Aditya Khosla; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (NIPS, 2012)

Image memorability and visual inception. - Aditya Khosla; Jianxiong Xiao; Phillip Isola; Antonio Torralba 001; Aude Oliva (SIGGRAPH Asia Technical Briefs, 2012)

Basic level scene understanding: from labels to structure and beyond. - Jianxiong Xiao; Bryan C. Russell; James Hays; Krista A. Ehinger; Aude Oliva; Antonio Torralba 001 (SIGGRAPH Asia Technical Briefs, 2012)

Modifying the Memorability of Face Photographs. - Aditya Khosla; Wilma A. Bainbridge; Antonio Torralba 001; Aude Oliva (ICCV, 2013)

What Makes a Visualization Memorable? - Michelle Borkin; Azalea A. Vo; Zoya Bylinskii; Phillip Isola; Shashank Sunkavalli; Aude Oliva; Hanspeter Pfister (IEEE Trans. Vis. Comput. Graph., 2013)

Predicting Actions from Static Scenes. - Tuan-Hung Vu; Catherine Olsson; Ivan Laptev; Aude Oliva; Josef Sivic (ECCV (5), 2014)

Recognizing City Identity via Attribute Analysis of Geo-tagged Images. - Bolei Zhou; Liu Liu; Aude Oliva; Antonio Torralba 001 (ECCV (3), 2014)

Learning Deep Features for Scene Recognition using Places Database. - Bolei Zhou; Àgata Lapedriza; Jianxiong Xiao; Antonio Torralba 001; Aude Oliva (NIPS, 2014)

Acquiring Visual Classifiers from Human Imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (CoRR, 2014)

What Makes a Photograph Memorable? - Phillip Isola; Jianxiong Xiao; Devi Parikh; Antonio Torralba 001; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

A Crowdsourced Alternative to Eye-tracking for Visualization Understanding. - Nam Wook Kim; Zoya Bylinskii; Michelle A. Borkin; Aude Oliva; Krzysztof Z. Gajos; Hanspeter Pfister (CHI Extended Abstracts, 2015)

Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations. - Zoya Bylinskii; Michelle A. Borkin; Nam Wook Kim; Hanspeter Pfister; Aude Oliva (ETVIS, 2015)

Understanding and Predicting Image Memorability at a Large Scale. - Aditya Khosla; Akhil S. Raju; Antonio Torralba 001; Aude Oliva (ICCV, 2015)

Learning visual biases from human imagination. - Carl Vondrick; Hamed Pirsiavash; Aude Oliva; Antonio Torralba 001 (NIPS, 2015)

Object Detectors Emerge in Deep Scene CNNs. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Aude Oliva; Antonio Torralba 001 (ICLR, 2015)

Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. - Wilma Alice Bainbridge; Aude Oliva (NeuroImage, 2015)

Learning Deep Features for Discriminative Localization. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Aude Oliva; Antonio Torralba 001 (CVPR, 2016)

Where Should Saliency Models Look Next? - Zoya Bylinskii; Adrià Recasens; Ali Borji; Aude Oliva; Antonio Torralba 001; Frédo Durand (ECCV (5), 2016)

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. - Radoslaw Martin Cichy; Aditya Khosla; Dimitrios Pantazis; Antonio Torralba 001; Aude Oliva (CoRR, 2016)

Places: An Image Database for Deep Scene Understanding. - Bolei Zhou; Aditya Khosla; Àgata Lapedriza; Antonio Torralba 001; Aude Oliva (CoRR, 2016)

SUN Database: Exploring a Large Collection of Scene Categories. - Jianxiong Xiao; Krista A. Ehinger; James Hays; Antonio Torralba 001; Aude Oliva (Int. J. Comput. Vis., 2016)

Beyond Memorability: Visualization Recognition and Recall. - Michelle A. Borkin; Zoya Bylinskii; Nam Wook Kim; Constance May Bainbridge; Chelsea S. Yeh; Daniel Borkin; Hanspeter Pfister; Aude Oliva (IEEE Trans. Vis. Comput. Graph., 2016)

Cognitive Society. - Aude Oliva; Santani Teng (Handbook of Science and Technology Convergence, 2016)

Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size. - Seyed-Mahdi Khaligh-Razavi; Radoslaw Martin Cichy; Dimitrios Pantazis; Aude Oliva (AAAI Spring Symposia, 2017)

Asynchronous Data Aggregation for Training End to End Visual Control Networks. - Mathew Monfort; Matthew Johnson 003; Aude Oliva; Katja Hofmann (AAMAS, 2017)

Network Dissection: Quantifying Interpretability of Deep Visual Representations. - David Bau; Bolei Zhou; Aditya Khosla; Aude Oliva; Antonio Torralba 001 (CVPR, 2017)

BubbleView: an alternative to eye-tracking for crowdsourcing image importance. - Nam Wook Kim; Zoya Bylinskii; Michelle A. Borkin; Krzysztof Z. Gajos; Aude Oliva; Frédo Durand; Hanspeter Pfister (CoRR, 2017)

Understanding Infographics through Textual and Visual Tag Prediction. - Zoya Bylinskii; Sami Alsheikh; Spandan Madan; Adrià Recasens; Kimberli Zhong; Hanspeter Pfister; Frédo Durand; Aude Oliva (CoRR, 2017)

Memorability: A stimulus-driven perceptual neural signature distinctive from memory. - Wilma A. Bainbridge; Daniel D. Dilks; Aude Oliva (NeuroImage, 2017)

Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. - Radoslaw Martin Cichy; Aditya Khosla; Dimitrios Pantazis; Aude Oliva (NeuroImage, 2017)

BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. - Nam Wook Kim; Zoya Bylinskii; Michelle A. Borkin; Krzysztof Z. Gajos; Aude Oliva; Frédo Durand; Hanspeter Pfister (ACM Trans. Comput. Hum. Interact., 2017)

Temporal Relational Reasoning in Videos. - Bolei Zhou; Alex Andonian; Aude Oliva; Antonio Torralba 001 (ECCV (1), 2018)

Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. - Spandan Madan; Zoya Bylinskii; Matthew Tancik; Adrià Recasens; Kimberli Zhong; Sami Alsheikh; Hanspeter Pfister; Aude Oliva; Frédo Durand (CoRR, 2018)

Tracking the Spatiotemporal Neural Dynamics of Real-world Object Size and Animacy in the Human Brain. - Seyed-Mahdi Khaligh-Razavi; Radoslaw Martin Cichy; Dimitrios Pantazis; Aude Oliva (J. Cogn. Neurosci., 2018)

Places: A 10 Million Image Database for Scene Recognition. - Bolei Zhou; Àgata Lapedriza; Aditya Khosla; Aude Oliva; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Identifying Interpretable Action Concepts in Deep Networks. - Kandan Ramakrishnan; Mathew Monfort; Barry A. McNamara; Alex Lascelles; Dan Gutfreund; Rogério Schmidt Feris; Aude Oliva (CVPR Workshops, 2019)

GANalyze: Toward Visual Definitions of Cognitive Image Properties. - Lore Goetschalckx; Alex Andonian; Aude Oliva; Phillip Isola (ICCV, 2019)

Reasoning About Human-Object Interactions Through Dual Attention Networks. - Tete Xiao; Quanfu Fan; Danny Gutfreund; Mathew Monfort; Aude Oliva; Bolei Zhou (ICCV, 2019)

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. - Radoslaw Martin Cichy; Gemma Roig; Alex Andonian; Kshitij Dwivedi; Benjamin Lahner; Alex Lascelles; Yalda Mohsenzadeh; Kandan Ramakrishnan; Aude Oliva (CoRR, 2019)

Cross-view Semantic Segmentation for Sensing Surroundings. - Bowen Pan; Jiankai Sun; Alex Andonian; Aude Oliva; Bolei Zhou (CoRR, 2019)

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. - Lore Goetschalckx; Alex Andonian; Aude Oliva; Phillip Isola (CoRR, 2019)

The Algonauts Project. - Radoslaw Martin Cichy; Gemma Roig; Aude Oliva (Nat. Mach. Intell., 2019)

What Do Different Evaluation Metrics Tell Us About Saliency Models? - Zoya Bylinskii; Tilke Judd; Aude Oliva; Antonio Torralba 001; Frédo Durand (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Interpreting Deep Visual Representations via Network Dissection. - Bolei Zhou; David Bau; Aude Oliva; Antonio Torralba 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Comparing the Interpretability of Deep Networks via Network Dissection. - Bolei Zhou; David Bau; Aude Oliva; Antonio Torralba 001 (Explainable AI, 2019)

How Much Time Do You Have? Modeling Multi-Duration Saliency. - Camilo Fosco; Anelise Newman; Pat Sukhum; Yun Bin Zhang; Nanxuan Zhao; Aude Oliva; Zoya Bylinskii (CVPR, 2020)

Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. - Kandan Ramakrishnan; Rameswar Panda; Quanfu Fan; John Henning; Aude Oliva; Rogério Feris (CVPR Workshops, 2020)

We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. - Alex Andonian; Camilo Fosco; Mathew Monfort; Allen Lee; Rogério Feris; Carl Vondrick; Aude Oliva (ECCV (18), 2020)

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. - Yue Meng; Chung-Ching Lin; Rameswar Panda; Prasanna Sattigeri; Leonid Karlinsky; Aude Oliva; Kate Saenko; Rogério Feris (ECCV (7), 2020)

Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. - Anelise Newman; Camilo Fosco; Vincent Casser; Allen Lee; Barry A. McNamara; Aude Oliva (ECCV (16), 2020)

Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. - Lisa Amini; Ching-Hua Chen; David D. Cox; Aude Oliva; Antonio Torralba 001 (AI Mag., 2020)

Moments in Time Dataset: One Million Videos for Event Understanding. - Mathew Monfort; Carl Vondrick; Aude Oliva; Alex Andonian; Bolei Zhou; Kandan Ramakrishnan; Sarah Adel Bargal; Tom Yan; Lisa M. Brown; Quanfu Fan; Dan Gutfreund (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. - Spandan Madan; Zoya Bylinskii; Carolina Nobre; Matthew Tancik; Adrià Recasens; Kimberli Zhong; Sami Alsheikh; Aude Oliva; Frédo Durand; Hanspeter Pfister (PacificVis, 2021)

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. - Chun-Fu (Richard) Chen; Rameswar Panda; Kandan Ramakrishnan; Rogério Feris; John Cohn; Aude Oliva; Quanfu Fan (CVPR, 2021)

Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. - Mathew Monfort; SouYoung Jin; Alexander H. Liu; David Harwath; Rogério Feris; James R. Glass; Aude Oliva (CVPR, 2021)

AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. - Rameswar Panda; Chun-Fu (Richard) Chen; Quanfu Fan; Ximeng Sun; Kate Saenko; Aude Oliva; Rogério Feris (ICCV, 2021)

Dynamic Network Quantization for Efficient Video Inference. - Ximeng Sun; Rameswar Panda; Chun-Fu (Richard) Chen; Aude Oliva; Rogério Feris; Kate Saenko (ICCV, 2021)

AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. - Yue Meng; Rameswar Panda; Chung-Ching Lin; Prasanna Sattigeri; Leonid Karlinsky; Kate Saenko; Aude Oliva; Rogério Feris (ICLR, 2021)

VA-RED2: Video Adaptive Redundancy Reduction. - Bowen Pan; Rameswar Panda; Camilo Luciano Fosco; Chung-Ching Lin; Alex J. Andonian; Yue Meng; Kate Saenko; Aude Oliva; Rogério Feris (ICLR, 2021)

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. - Bowen Pan; Rameswar Panda; Yifan Jiang 001; Zhangyang Wang; Rogério Feris; Aude Oliva (NeurIPS, 2021)

VA-RED2: Video Adaptive Redundancy Reduction. - Bowen Pan; Rameswar Panda; Camilo Fosco; Chung-Ching Lin; Alex Andonian; Yue Meng; Kate Saenko; Aude Oliva; Rogério Feris (CoRR, 2021)

All at Once Network Quantization via Collaborative Knowledge Transfer. - Ximeng Sun; Rameswar Panda; Chun-Fu Chen 001; Naigang Wang; Bowen Pan; Kailash Gopalakrishnan; Aude Oliva; Rogério Feris; Kate Saenko (CoRR, 2021)

Paint by Word. - David Bau; Alex Andonian; Audrey Cui; YeonHwan Park; Ali Jahanian 002; Aude Oliva; Antonio Torralba 001 (CoRR, 2021)

Memorability: An image-computable measure of information utility. - Zoya Bylinskii; Lore Goetschalckx; Anelise Newman; Aude Oliva (CoRR, 2021)

The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. - Radoslaw Martin Cichy; Kshitij Dwivedi; Benjamin Lahner; Alex Lascelles; P. Iamshchinina; Monika Graumann; Alex Andonian; N. A. R. Murty; K. Kay; Gemma Roig; Aude Oliva (CoRR, 2021)

IA-RED2: Interpretability-Aware Redundancy Reduction for Vision Transformers. - Bowen Pan; Yifan Jiang 001; Rameswar Panda; Zhangyang Wang; Rogério Feris; Aude Oliva (CoRR, 2021)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu; Xingyu Liu; Miguel Martin; Tushar Nagarajan; et al. (CoRR, 2021)

Cross-Modal Discrete Representation Learning. - Alexander H. Liu; SouYoung Jin; Cheng-I Lai; Andrew Rouditchenko; Aude Oliva; James R. Glass (ACL (1), 2022)

Ego4D: Around the World in 3, 000 Hours of Egocentric Video. - Kristen Grauman; Andrew Westbury; Eugene Byrne; Zachary Chavis; Antonino Furnari; Rohit Girdhar; Jackson Hamburger; Hao Jiang 007; Miao Liu; Xingyu Liu; Miguel Martin; Tushar Nagarajan; et al. (CVPR, 2022)

How Transferable are Video Representations Based on Synthetic Data? - Yo-whan Kim; Samarth Mishra; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Kate Saenko; Aude Oliva; Rogério Feris (NeurIPS, 2022)

Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines. - Camilo Fosco; Emilie Josephs; Alex Andonian; Allen Lee; Xi Wang; Aude Oliva (CoRR, 2022)

Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. - Mathew Monfort; Bowen Pan; Kandan Ramakrishnan; Alex Andonian; Barry A. McNamara; Alex Lascelles; Quanfu Fan; Dan Gutfreund; Rogério Schmidt Feris; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Leveraging Temporal Context in Low Representational Power Regimes. - Camilo Luciano Fosco; SouYoung Jin; Emilie Josephs; Aude Oliva (CVPR, 2023)

Going Beyond Nouns With Vision & Language Models Using Synthetic Data. - Paola Cascante-Bonilla; Khaled Shehada; James Seale Smith; Sivan Doveh; Donghyun Kim 006; Rameswar Panda; Gül Varol; Aude Oliva; Vicente Ordonez; Rogério Feris; Leonid Karlinsky (ICCV, 2023)

Learning Human Action Recognition Representations Without Real Humans. - Howard Zhong; Samarth Mishra; Donghyun Kim 006; SouYoung Jin; Rameswar Panda; Hilde Kuehne; Leonid Karlinsky; Venkatesh Saligrama; Aude Oliva; Rogério Feris (NeurIPS, 2023)

Artifact magnification on deepfake videos increases human detection and subjective confidence. - Emilie Josephs; Camilo Fosco; Aude Oliva (CoRR, 2023)

LangNav: Language as a Perceptual Representation for Navigation. - Bowen Pan; Rameswar Panda; SouYoung Jin; Rogério Feris; Aude Oliva; Phillip Isola; Yoon Kim (NAACL-HLT (Findings), 2024)

Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. - Ximeng Sun; Rameswar Panda; Chun-Fu Richard Chen; Naigang Wang; Bowen Pan; Aude Oliva; Rogério Feris; Kate Saenko (WACV, 2024)

Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. - Bowen Pan; Yikang Shen; Haokun Liu; Mayank Mishra; Gaoyuan Zhang; Aude Oliva; Colin Raffel; Rameswar Panda (CoRR, 2024)

Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. - Runqian Wang; Soumya Ghosh; David D. Cox; Diego Antognini; Aude Oliva; Rogério Feris; Leonid Karlinsky (CoRR, 2024)

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. - Irene Huang; Wei Lin 019; Muhammad Jehanzeb Mirza; Jacob A. Hansen; Sivan Doveh; Victor Ion Butoi; Roei Herzig; Assaf Arbelle; Hilde Kuehne; Trevor Darrell; Chuang Gan; Aude Oliva; et al. (CoRR, 2024)