Aude Oliva

According to our database, Aude Oliva authored at least 99 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs.

Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Ion Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky

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

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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

LangNav: Language as a Perceptual Representation for Navigation.

Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals.

Camilo Fosco, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie Josephs, Alex Lascelles, Aude Oliva

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Artifact magnification on deepfake videos increases human detection and subjective confidence.

Emilie Josephs, Camilo Fosco, Aude Oliva

CoRR, 2023

The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes.

Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, Aude Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy

CoRR, 2023

Learning Human Action Recognition Representations Without Real Humans.

Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Going Beyond Nouns With Vision & Language Models Using Synthetic Data.

Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Leveraging Temporal Context in Low Representational Power Regimes.

Camilo Luciano Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Cross-Modal Discrete Representation Learning.

Alexander H. Liu, SouYoung Jin, Cheng-I Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

CoRR, 2021

IA-RED²: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, 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

Memorability: An image-computable measure of information utility.

Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva

CoRR, 2021

Paint by Word.

David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba

CoRR, 2021

All at Once Network Quantization via Collaborative Knowledge Transfer.

Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko

CoRR, 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

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers.

Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 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

Proceedings of the 9th International Conference on Learning Representations, 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

Proceedings of the 9th International Conference on Learning Representations, 2021

Dynamic Network Quantization for Efficient Video Inference.

Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Proceedings of the 14th IEEE Pacific Visualization Symposium, 2021

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

Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence.

Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba

AI Mag., 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the Computer Vision - ECCV 2020, 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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Comparing the Interpretability of Deep Networks via Network Dissection.

Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba

Proceedings of the Explainable AI: Interpreting, 2019

Interpreting Deep Visual Representations via Network Dissection.

Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 2019

What Do Different Evaluation Metrics Tell Us About Saliency Models?

Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand

IEEE Trans. Pattern Anal. Mach. Intell., 2019

The Algonauts Project.

Radoslaw Martin Cichy, Gemma Roig, Aude Oliva

Nat. Mach. Intell., 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

Cross-view Semantic Segmentation for Sensing Surroundings.

Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou

CoRR, 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

Reasoning About Human-Object Interactions Through Dual Attention Networks.

Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

GANalyze: Toward Visual Definitions of Cognitive Image Properties.

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Identifying Interpretable Action Concepts in Deep Networks.

Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Places: A 10 Million Image Database for Scene Recognition.

Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba

IEEE Trans. Pattern Anal. Mach. Intell., 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

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

Temporal Relational Reasoning in Videos.

Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2018, 2018

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

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

Memorability: A stimulus-driven perceptual neural signature distinctive from memory.

Wilma A. Bainbridge, Daniel D. Dilks, Aude Oliva

NeuroImage, 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

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

Network Dissection: Quantifying Interpretability of Deep Visual Representations.

David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Asynchronous Data Aggregation for Training End to End Visual Control Networks.

Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann

Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

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

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Cognitive Society.

Aude Oliva, Santani Teng

Proceedings of the Handbook of Science and Technology Convergence, 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

SUN Database: Exploring a Large Collection of Scene Categories.

Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva

Int. J. Comput. Vis., 2016

Places: An Image Database for Deep Scene Understanding.

Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Antonio Torralba, Aude Oliva

CoRR, 2016

Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition.

Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva

CoRR, 2016

Where Should Saliency Models Look Next?

Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand

Proceedings of the Computer Vision - ECCV 2016, 2016

Learning Deep Features for Discriminative Localization.

Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions.

Wilma Alice Bainbridge, Aude Oliva

NeuroImage, 2015

Object Detectors Emerge in Deep Scene CNNs.

Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba

Proceedings of the 3rd International Conference on Learning Representations, 2015

Learning visual biases from human imagination.

Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Understanding and Predicting Image Memorability at a Large Scale.

Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva

Proceedings of the 2015 IEEE International Conference on Computer Vision, 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

Proceedings of the Eye Tracking and Visualization, 2015

A Crowdsourced Alternative to Eye-tracking for Visualization Understanding.

Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Aude Oliva, Krzysztof Z. Gajos, Hanspeter Pfister

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015

2014

What Makes a Photograph Memorable?

Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Acquiring Visual Classifiers from Human Imagination.

Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

CoRR, 2014

Learning Deep Features for Scene Recognition using Places Database.

Bolei Zhou, Àgata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Recognizing City Identity via Attribute Analysis of Geo-tagged Images.

Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba

Proceedings of the Computer Vision - ECCV 2014, 2014

Predicting Actions from Static Scenes.

Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic

Proceedings of the Computer Vision - ECCV 2014, 2014

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

Modifying the Memorability of Face Photographs.

Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva

Proceedings of the IEEE International Conference on Computer Vision, 2013

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

Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Image memorability and visual inception.

Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva

Proceedings of the SIGGRAPH Asia 2012 Technical Briefs, Singapore, November 28, 2012

Memorability of Image Regions.

Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Recognizing scene viewpoint using panoramic place representation.

Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Establishing a Database for Studying Human Face Photograph Memory.

Wilma A. Bainbridge, Phillip Isola, Idan Blank, Aude Oliva

Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011

Understanding the Intrinsic Memorability of Images.

Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

What makes an image memorable?

Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Estimating scene typicality from human ratings and image features.

Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, Aude Oliva

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

Canonical views of scenes depend on the shape of the space.

Krista A. Ehinger, Aude Oliva

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

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

Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2006

Hybrid images.

Aude Oliva, Antonio Torralba, Philippe G. Schyns

ACM Trans. Graph., 2006

Ethics in image manipulation Video presentations from this panel session are available on the citation page.

Kathryn Carlson, Brian DeLevie, Aude Oliva

Proceedings of the International Conference on Computer Graphics and Interactive Techniques, 2006

2005

Human Learning of Contextual Priors for Object Search: Where does the time go?

Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2005

2003

Top-down control of visual attention in object detection.

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

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Depth Estimation from Image Structure.

Antonio Torralba, Aude Oliva

IEEE Trans. Pattern Anal. Mach. Intell., 2002

Scene-Centered Description from Spatial Envelope Properties.

Aude Oliva, Antonio Torralba

Proceedings of the Biologically Motivated Computer Vision Second International Workshop, 2002

2001

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope.

Aude Oliva, Antonio Torralba

Int. J. Comput. Vis., 2001

2000

Classification of scene photographs from local orientations features.

Anne Guérin-Dugué, Aude Oliva

Pattern Recognit. Lett., 2000

1999

Semantic Organization of Scenes using Discriminant Structural Templates.

Antonio Torralba, Aude Oliva

Proceedings of the International Conference on Computer Vision, 1999