Aude Oliva

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 87

Top Venues

CoRR

CVPR

ICCV

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR (2024)
Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV (2024)
Irene Huang, Wei Lin, M. 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
ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR (2024)
Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR (2024)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. CoRR (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV (2023)
Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR (2023)
Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
Learning Human Action Recognition Representations Without Real Humans. NeurIPS (2023)
Camilo Luciano Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva
Leveraging Temporal Context in Low Representational Power Regimes. CVPR (2023)
Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
LangNav: Language as a Perceptual Representation for Navigation. CoRR (2023)
Emilie Josephs, Camilo Fosco, Aude Oliva
Artifact magnification on deepfake videos increases human detection and subjective confidence. CoRR (2023)
Camilo Fosco, Emilie Josephs, Alex Andonian, Allen Lee, Xi Wang, Aude Oliva
Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines. CoRR (2022)
Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
How Transferable are Video Representations Based on Synthetic Data? NeurIPS (2022)
Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
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
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR (2022)
Alexander H. Liu, SouYoung Jin, Cheng-I Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass
Cross-Modal Discrete Representation Learning. ACL (1) (2022)
Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
VA-RED2: Video Adaptive Redundancy Reduction. ICLR (2021)
Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS (2021)
Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR (2021)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR (2021)
Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis (2021)
Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR (2021)
Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV (2021)
Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR (2021)
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR (2021)
David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba
Paint by Word. CoRR (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. ICCV (2021)
Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
: Interpretability-Aware Redundancy Reduction for Vision Transformers. CoRR (2021)
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 Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, 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 Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik
Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR (2021)
Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
Dynamic Network Quantization for Efficient Video Inference. CoRR (2021)
Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR (2021)
Radoslaw Martin Cichy, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, P. Iamshchinina, M. Graumann, Alex Andonian, N. A. R. Murty, K. Kay, Gemma Roig, Aude Oliva
The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR (2021)
Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva
Memorability: An image-computable measure of information utility. CoRR (2021)
Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
: Video Adaptive Redundancy Reduction. CoRR (2021)
Alexander H. Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass
Cross-Modal Discrete Representation Learning. CoRR (2021)
Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba
Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Mag. 41 (1) (2020)
Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii
How Much Time Do You Have? Modeling Multi-Duration Saliency. CVPR (2020)
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR (2020)
Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR (2020)
Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. ECCV (16) (2020)
Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) (2020)
Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. CoRR (2020)
Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) (2020)
Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris
Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops (2020)
Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR (2020)
Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
GANalyze: Toward Visual Definitions of Cognitive Image Properties. ICCV (2019)
Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou
Cross-view Semantic Segmentation for Sensing Surroundings. CoRR (2019)
Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR (2019)
Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. 41 (3) (2019)
Radoslaw Martin Cichy, Gemma Roig, Aude Oliva
The Algonauts Project. Nat. Mach. Intell. 1 (12) (2019)
Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR (2019)
Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR (2019)
Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba
Interpreting Deep Visual Representations via Network Dissection. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. CoRR (2019)
Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops (2019)
Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV (2019)
Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba
Places: A 10 Million Image Database for Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 40 (6) (2018)
Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
Moments in Time Dataset: one million videos for event understanding. CoRR (2018)
Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba
Temporal Relational Reasoning in Videos. ECCV (1) (2018)
Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
Tracking the Spatiotemporal Neural Dynamics of Real-world Object Size and Animacy in the Human Brain. J. Cogn. Neurosci. 30 (11) (2018)
Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand
Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR (2018)
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
BubbleView: an alternative to eye-tracking for crowdsourcing image importance. CoRR (2017)
David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CoRR (2017)
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Trans. Comput. Hum. Interact. 24 (5) (2017)
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Aude Oliva
Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. NeuroImage 153 (2017)
Wilma A. Bainbridge, Daniel D. Dilks, Aude Oliva
Memorability: A stimulus-driven perceptual neural signature distinctive from memory. NeuroImage 149 (2017)
Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva
Understanding Infographics through Textual and Visual Tag Prediction. CoRR (2017)
Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba
Interpreting Deep Visual Representations via Network Dissection. CoRR (2017)
David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba
Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR (2017)
Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann
Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS (2017)
Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size. AAAI Spring Symposia (2017)
Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
Learning Deep Features for Discriminative Localization. CVPR (2016)
Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Antonio Torralba, Aude Oliva
Places: An Image Database for Deep Scene Understanding. CoRR (2016)
Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva
Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. CoRR (2016)
Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
What do different evaluation metrics tell us about saliency models? CoRR (2016)
Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand
Where Should Saliency Models Look Next? ECCV (5) (2016)
Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva
SUN Database: Exploring a Large Collection of Scene Categories. Int. J. Comput. Vis. 119 (1) (2016)
Michelle A. Borkin, Zoya Bylinskii, Nam Wook Kim, Constance May Bainbridge, Chelsea S. Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva
Beyond Memorability: Visualization Recognition and Recall. IEEE Trans. Vis. Comput. Graph. 22 (1) (2016)
Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva
Understanding and Predicting Image Memorability at a Large Scale. ICCV (2015)
Zoya Bylinskii, Michelle A. Borkin, Nam Wook Kim, Hanspeter Pfister, Aude Oliva
Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations. ETVIS (2015)
Wilma Alice Bainbridge, Aude Oliva
Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. NeuroImage 122 (2015)
Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Aude Oliva, Krzysztof Z. Gajos, Hanspeter Pfister
A Crowdsourced Alternative to Eye-tracking for Visualization Understanding. CHI Extended Abstracts (2015)
Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
Learning Deep Features for Discriminative Localization. CoRR (2015)
Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
Object Detectors Emerge in Deep Scene CNNs. ICLR (2015)
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Learning visual biases from human imagination. NIPS (2015)
Bolei Zhou, Àgata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva
Learning Deep Features for Scene Recognition using Places Database. NIPS (2014)
Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva
What Makes a Photograph Memorable? IEEE Trans. Pattern Anal. Mach. Intell. 36 (7) (2014)
Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic
Predicting Actions from Static Scenes. ECCV (5) (2014)
Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba
Recognizing City Identity via Attribute Analysis of Geo-tagged Images. ECCV (3) (2014)
Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
Acquiring Visual Classifiers from Human Imagination. CoRR (2014)
Michelle Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister
What Makes a Visualization Memorable? IEEE Trans. Vis. Comput. Graph. 19 (12) (2013)
Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva
Modifying the Memorability of Face Photographs. ICCV (2013)
Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva
Image memorability and visual inception. SIGGRAPH Asia Technical Briefs (2012)
Wilma A. Bainbridge, Phillip Isola, Idan Blank, Aude Oliva
Establishing a Database for Studying Human Face Photograph Memory. CogSci (2012)
Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba
Recognizing scene viewpoint using panoramic place representation. CVPR (2012)
Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva
Memorability of Image Regions. NIPS (2012)
Jianxiong Xiao, Bryan C. Russell, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba
Basic level scene understanding: from labels to structure and beyond. SIGGRAPH Asia Technical Briefs (2012)
Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, Aude Oliva
Estimating scene typicality from human ratings and image features. CogSci (2011)

Aude Oliva.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Aude Oliva