Aude Oliva - RankMe

125 papers A* 25A 2B 4Journal 66Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Isaac Sanchez, Ben Wiesel, Shafiq Abedin, Amit Alfassy, Eli Schwartz, Daniel Caraballo, Yagmur Gizem Cinar, Florian Scheidegger, Steven I. Ross, Daniel Karl I. Weidele, Hang Hua, Ekaterina Arutyunova, Roei Herzig, Zexue He, Zihan Wang, Xinyue Yu, Yunfei Zhao, Sicong Jiang, Minghao Liu, Qunshu Lin, Peter W. J. Staar, Luis A. Lastras, Aude Oliva, Rogério Feris
2025	J	`jnl`	BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain. CoRR Navve Wasserman, Matias Cosarinsky, Yuval Golbari, Aude Oliva, Antonio Torralba, Tamar Rott Shaham, Michal Irani
2025	J	`jnl`	ChartGen: Scaling Chart Understanding Via Code-Guided Synthetic Chart Generation. CoRR Jovana Kondic, Pengyuan Li, Dhiraj Joshi, Zexue He, Shafiq Abedin, Jennifer Sun, Ben Wiesel, Eli Schwartz, Ahmed Nassar, Bo Wu, Assaf Arbelle, Aude Oliva, Dan Gutfreund, Leonid Karlinsky, Rogério Feris
2025	J	`jnl`	Ego4D: Around the World in 3,600 Hours of Egocentric Video. IEEE Trans. Pattern Anal. Mach. Intell. Kristen Grauman, Andrew Westbury, Eugene Byrne, Vincent Cartillier, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Devansh Kukreja, 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, 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 K. 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
2025	J	`jnl`	Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence. CoRR Leonid Karlinsky, Assaf Arbelle, Abraham Daniels, Ahmed Nassar, Amit Alfassi, Bo Wu, Eli Schwartz, Dhiraj Joshi, Jovana Kondic, Nimrod Shabtay, Pengyuan Li, Roei Herzig, Shafiq Abedin, Shaked Perek, Sivan Harary, Udi Barzelay, Adi Raz Goldfarb, Aude Oliva, Ben Wieles, Bishwaranjan Bhattacharjee, Brandon Huang, Christoph Auer, Dan Gutfreund, David Beymer, David Wood, Hilde Kuehne, Jacob A. Hansen, Joseph Shtok, Ken Wong, Luis Angel D. Bathen, Mayank Mishra, Maksym Lysak, Michele Dolfi, Mikhail Yurochkin, Nikolaos Livathinos, Nimrod Harel, Ophir Azulai, Oshri Naparstek, Rafael Teixeira de Lima, Rameswar Panda, Sivan Doveh, Shubham Gupta, Subhro Das, Syed Zawad, Yusik Kim, Zexue He, Alexander Brooks, Gabe Goodhart, Anita Govindjee, Derek Leist, Ibrahim Ibrahim, Aya Soffer, David D. Cox, Kate Soule, Luis A. Lastras, Nirmit Desai, Shila Ofek-Koifman, Sriram Raghavan, Tanveer F. Syeda-Mahmood, Peter W. J. Staar, Tal Drory, Rogério Feris
2024	—	`conf`	Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals. ECCV (26) Camilo Fosco, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie Josephs, Alex Lascelles, Aude Oliva
2024	A*	`conf`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. NeurIPS Irene Huang, Wei Lin, Muhammad Jehanzeb Mirza, Jacob A. Hansen, Sivan Doveh, Victor Butoi, Roei Herzig, Assaf Arbelle, Hilde Kuehne, Trevor Darrell, Chuang Gan, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs. CoRR 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
2024	J	`jnl`	Dense Training, Sparse Inference: Rethinking Training of Mixture-of-Experts Language Models. CoRR Bowen Pan, Yikang Shen, Haokun Liu, Mayank Mishra, Gaoyuan Zhang, Aude Oliva, Colin Raffel, Rameswar Panda
2024	A	`conf`	Improved Techniques for Quantizing Deep Networks with Adaptive Bit-Widths. WACV Ximeng Sun, Rameswar Panda, Chun-Fu Richard Chen, Naigang Wang, Bowen Pan, Aude Oliva, Rogério Feris, Kate Saenko
2024	—	`conf`	LangNav: Language as a Perceptual Representation for Navigation. NAACL-HLT (Findings) Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2024	A*	`conf`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. NeurIPS Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2024	J	`jnl`	Trans-LoRA: towards data-free Transferable Parameter Efficient Finetuning. CoRR Runqian Wang, Soumya Ghosh, David D. Cox, Diego Antognini, Aude Oliva, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	Artifact magnification on deepfake videos increases human detection and subjective confidence. CoRR Emilie Josephs, Camilo Fosco, Aude Oliva
2023	A*	`conf`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. ICCV Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	Going Beyond Nouns With Vision & Language Models Using Synthetic Data. CoRR Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky
2023	J	`jnl`	LangNav: Language as a Perceptual Representation for Navigation. CoRR Bowen Pan, Rameswar Panda, SouYoung Jin, Rogério Feris, Aude Oliva, Phillip Isola, Yoon Kim
2023	A*	`conf`	Learning Human Action Recognition Representations Without Real Humans. NeurIPS Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	J	`jnl`	Learning Human Action Recognition Representations Without Real Humans. CoRR Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Aude Oliva, Rogério Feris
2023	A*	`conf`	Leveraging Temporal Context in Low Representational Power Regimes. CVPR Camilo Luciano Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva
2023	J	`jnl`	The Algonauts Project 2023 Challenge: How the Human Brain Makes Sense of Natural Scenes. CoRR Alessandro T. Gifford, Benjamin Lahner, Sari Saba-Sadiya, Martina G. Vilas, Alex Lascelles, Aude Oliva, K. Kay, Gemma Roig, Radoslaw Martin Cichy
2022	—	`conf`	Cross-Modal Discrete Representation Learning. ACL (1) Alexander H. Liu, SouYoung Jin, Cheng-I Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass
2022	J	`jnl`	Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines. CoRR Camilo Fosco, Emilie Josephs, Alex Andonian, Allen Lee, Xi Wang, Aude Oliva
2022	A*	`conf`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CVPR 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 K. 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
2022	A*	`conf`	How Transferable are Video Representations Based on Synthetic Data? NeurIPS Yo-whan Kim, Samarth Mishra, SouYoung Jin, Rameswar Panda, Hilde Kuehne, Leonid Karlinsky, Venkatesh Saligrama, Kate Saenko, Aude Oliva, Rogério Feris
2022	J	`jnl`	Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Mathew Monfort, Bowen Pan, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2021	A*	`conf`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. ICLR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition. CoRR Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. ICCV Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. CoRR Rameswar Panda, Chun-Fu Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris
2021	J	`jnl`	All at Once Network Quantization via Collaborative Knowledge Transfer. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Naigang Wang, Bowen Pan, Kailash Gopalakrishnan, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Cross-Modal Discrete Representation Learning. CoRR Alexander H. Liu, SouYoung Jin, Cheng-I Jeff Lai, Andrew Rouditchenko, Aude Oliva, James R. Glass
2021	A*	`conf`	Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. CVPR Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2021	A*	`conf`	Dynamic Network Quantization for Efficient Video Inference. ICCV Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Dynamic Network Quantization for Efficient Video Inference. CoRR Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogério Feris, Kate Saenko
2021	J	`jnl`	Ego4D: Around the World in 3, 000 Hours of Egocentric Video. CoRR 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 K. 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
2021	J	`jnl`	IA-RED CoRR Bowen Pan, Yifan Jiang, Rameswar Panda, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	A*	`conf`	IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers. NeurIPS Bowen Pan, Rameswar Panda, Yifan Jiang, Zhangyang Wang, Rogério Feris, Aude Oliva
2021	J	`jnl`	Memorability: An image-computable measure of information utility. CoRR Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, Aude Oliva
2021	J	`jnl`	Paint by Word. CoRR David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba
2021	B	`conf`	Parsing and Summarizing Infographics with Synthetically Trained Icon Detection. PacificVis Spandan Madan, Zoya Bylinskii, Carolina Nobre, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Aude Oliva, Frédo Durand, Hanspeter Pfister
2021	A*	`conf`	Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. CVPR Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
2021	J	`jnl`	Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions. CoRR Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva
2021	J	`jnl`	The Algonauts Project 2021 Challenge: How the Human Brain Makes Sense of a World in Motion. CoRR 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
2021	J	`jnl`	VA-RED CoRR Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2021	A*	`conf`	VA-RED2: Video Adaptive Redundancy Reduction. ICLR Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris
2020	—	`conf`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. ECCV (7) Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	AR-Net: Adaptive Frame Resolution for Efficient Action Recognition. CoRR Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky, Aude Oliva, Kate Saenko, Rogério Feris
2020	J	`jnl`	Deep Analysis of CNN-based Spatio-temporal Representations for Action Recognition. CoRR Chun-Fu Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan
2020	J	`jnl`	Experiences and Insights for Collaborative Industry-Academic Research in Artificial Intelligence. AI Mag. Lisa Amini, Ching-Hua Chen, David D. Cox, Aude Oliva, Antonio Torralba
2020	A*	`conf`	How Much Time Do You Have? Modeling Multi-Duration Saliency. CVPR Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii
2020	J	`jnl`	Moments in Time Dataset: One Million Videos for Event Understanding. IEEE Trans. Pattern Anal. Mach. Intell. Mathew Monfort, Carl Vondrick, Aude Oliva, Alex Andonian, Bolei Zhou, Kandan Ramakrishnan, Sarah Adel Bargal, Tom Yan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund
2020	—	`conf`	Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. ECCV (16) Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
2020	J	`jnl`	Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability. CoRR Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva
2020	—	`conf`	Relationship Matters: Relation Guided Knowledge Transfer for Incremental Learning of Object Detectors. CVPR Workshops Kandan Ramakrishnan, Rameswar Panda, Quanfu Fan, John Henning, Aude Oliva, Rogério Feris
2020	J	`jnl`	We Have So Much In Common: Modeling Semantic Relational Set Abstractions in Videos. CoRR Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
2020	—	`conf`	We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos. ECCV (18) Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva
2019	—	`ch.`	Comparing the Interpretability of Deep Networks via Network Dissection. Explainable AI Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba
2019	J	`jnl`	Cross-view Semantic Segmentation for Sensing Surroundings. CoRR Bowen Pan, Jiankai Sun, Alex Andonian, Aude Oliva, Bolei Zhou
2019	A*	`conf`	GANalyze: Toward Visual Definitions of Cognitive Image Properties. ICCV Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
2019	—	`conf`	Identifying Interpretable Action Concepts in Deep Networks. CVPR Workshops Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019	J	`jnl`	Interpreting Deep Visual Representations via Network Dissection. IEEE Trans. Pattern Anal. Mach. Intell. Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba
2019	J	`jnl`	Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola: GANalyze: Toward Visual Definitions of Cognitive Image Properties. CoRR Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola
2019	J	`jnl`	Multi-Moments in Time: Learning and Interpreting Models for Multi-Action Video Understanding. CoRR Mathew Monfort, Kandan Ramakrishnan, Alex Andonian, Barry A. McNamara, Alex Lascelles, Bowen Pan, Quanfu Fan, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva
2019	A*	`conf`	Reasoning About Human-Object Interactions Through Dual Attention Networks. ICCV Tete Xiao, Quanfu Fan, Danny Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
2019	J	`jnl`	Reasoning About Human-Object Interactions Through Dual Attention Networks. CoRR Tete Xiao, Quanfu Fan, Dan Gutfreund, Mathew Monfort, Aude Oliva, Bolei Zhou
2019	J	`jnl`	The Algonauts Project. Nat. Mach. Intell. Radoslaw Martin Cichy, Gemma Roig, Aude Oliva
2019	J	`jnl`	The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence. CoRR Radoslaw Martin Cichy, Gemma Roig, Alex Andonian, Kshitij Dwivedi, Benjamin Lahner, Alex Lascelles, Yalda Mohsenzadeh, Kandan Ramakrishnan, Aude Oliva
2019	J	`jnl`	What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
2018	J	`jnl`	Moments in Time Dataset: one million videos for event understanding. CoRR Mathew Monfort, Bolei Zhou, Sarah Adel Bargal, Alex Andonian, Tom Yan, Kandan Ramakrishnan, Lisa M. Brown, Quanfu Fan, Dan Gutfreund, Carl Vondrick, Aude Oliva
2018	J	`jnl`	Places: A 10 Million Image Database for Scene Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Bolei Zhou, Àgata Lapedriza, Aditya Khosla, Aude Oliva, Antonio Torralba
2018	J	`jnl`	Synthetically Trained Icon Proposals for Parsing and Summarizing Infographics. CoRR Spandan Madan, Zoya Bylinskii, Matthew Tancik, Adrià Recasens, Kimberli Zhong, Sami Alsheikh, Hanspeter Pfister, Aude Oliva, Frédo Durand
2018	—	`conf`	Temporal Relational Reasoning in Videos. ECCV (1) Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba
2018	J	`jnl`	Tracking the Spatiotemporal Neural Dynamics of Real-world Object Size and Animacy in the Human Brain. J. Cogn. Neurosci. Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
2017	A	`conf`	Asynchronous Data Aggregation for Training End to End Visual Control Networks. AAMAS Mathew Monfort, Matthew Johnson, Aude Oliva, Katja Hofmann
2017	J	`jnl`	BubbleView: An Interface for Crowdsourcing Image Importance Maps and Tracking Visual Attention. ACM Trans. Comput. Hum. Interact. Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
2017	J	`jnl`	BubbleView: an alternative to eye-tracking for crowdsourcing image importance. CoRR Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Krzysztof Z. Gajos, Aude Oliva, Frédo Durand, Hanspeter Pfister
2017	—	`conf`	Content-Dependent Fusion: Combining Human MEG and FMRI Data to Reveal Spatiotemporal Dynamics of Animacy and Real-world Object Size. AAAI Spring Symposia Seyed-Mahdi Khaligh-Razavi, Radoslaw Martin Cichy, Dimitrios Pantazis, Aude Oliva
2017	J	`jnl`	Dynamics of scene representations in the human brain revealed by magnetoencephalography and deep neural networks. NeuroImage Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Aude Oliva
2017	J	`jnl`	Interpreting Deep Visual Representations via Network Dissection. CoRR Bolei Zhou, David Bau, Aude Oliva, Antonio Torralba
2017	J	`jnl`	Memorability: A stimulus-driven perceptual neural signature distinctive from memory. NeuroImage Wilma A. Bainbridge, Daniel D. Dilks, Aude Oliva
2017	A*	`conf`	Network Dissection: Quantifying Interpretability of Deep Visual Representations. CVPR David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba
2017	J	`jnl`	Network Dissection: Quantifying Interpretability of Deep Visual Representations. CoRR David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba
2017	J	`jnl`	Understanding Infographics through Textual and Visual Tag Prediction. CoRR Zoya Bylinskii, Sami Alsheikh, Spandan Madan, Adrià Recasens, Kimberli Zhong, Hanspeter Pfister, Frédo Durand, Aude Oliva
2016	J	`jnl`	Beyond Memorability: Visualization Recognition and Recall. IEEE Trans. Vis. Comput. Graph. Michelle A. Borkin, Zoya Bylinskii, Nam Wook Kim, Constance May Bainbridge, Chelsea S. Yeh, Daniel Borkin, Hanspeter Pfister, Aude Oliva
2016	—	`ch.`	Cognitive Society. Handbook of Science and Technology Convergence Aude Oliva, Santani Teng
2016	J	`jnl`	Deep Neural Networks predict Hierarchical Spatio-temporal Cortical Dynamics of Human Visual Object Recognition. CoRR Radoslaw Martin Cichy, Aditya Khosla, Dimitrios Pantazis, Antonio Torralba, Aude Oliva
2016	A*	`conf`	Learning Deep Features for Discriminative Localization. CVPR Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
2016	J	`jnl`	Places: An Image Database for Deep Scene Understanding. CoRR Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Antonio Torralba, Aude Oliva
2016	J	`jnl`	SUN Database: Exploring a Large Collection of Scene Categories. Int. J. Comput. Vis. Jianxiong Xiao, Krista A. Ehinger, James Hays, Antonio Torralba, Aude Oliva
2016	J	`jnl`	What do different evaluation metrics tell us about saliency models? CoRR Zoya Bylinskii, Tilke Judd, Aude Oliva, Antonio Torralba, Frédo Durand
2016	—	`conf`	Where Should Saliency Models Look Next? ECCV (5) Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand
2015	—	`conf`	A Crowdsourced Alternative to Eye-tracking for Visualization Understanding. CHI Extended Abstracts Nam Wook Kim, Zoya Bylinskii, Michelle A. Borkin, Aude Oliva, Krzysztof Z. Gajos, Hanspeter Pfister
2015	—	`conf`	Eye Fixation Metrics for Large Scale Evaluation and Comparison of Information Visualizations. ETVIS Zoya Bylinskii, Michelle A. Borkin, Nam Wook Kim, Hanspeter Pfister, Aude Oliva
2015	J	`jnl`	Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. NeuroImage Wilma Alice Bainbridge, Aude Oliva
2015	J	`jnl`	Learning Deep Features for Discriminative Localization. CoRR Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
2015	—	`conf`	Learning visual biases from human imagination. NIPS Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
2015	—	`conf`	Object Detectors Emerge in Deep Scene CNNs. ICLR Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba
2015	A*	`conf`	Understanding and Predicting Image Memorability at a Large Scale. ICCV Aditya Khosla, Akhil S. Raju, Antonio Torralba, Aude Oliva
2014	J	`jnl`	Acquiring Visual Classifiers from Human Imagination. CoRR Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba
2014	—	`conf`	Learning Deep Features for Scene Recognition using Places Database. NIPS Bolei Zhou, Àgata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva
2014	—	`conf`	Predicting Actions from Static Scenes. ECCV (5) Tuan-Hung Vu, Catherine Olsson, Ivan Laptev, Aude Oliva, Josef Sivic
2014	—	`conf`	Recognizing City Identity via Attribute Analysis of Geo-tagged Images. ECCV (3) Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba
2014	J	`jnl`	What Makes a Photograph Memorable? IEEE Trans. Pattern Anal. Mach. Intell. Phillip Isola, Jianxiong Xiao, Devi Parikh, Antonio Torralba, Aude Oliva
2013	A*	`conf`	Modifying the Memorability of Face Photographs. ICCV Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva
2013	J	`jnl`	What Makes a Visualization Memorable? IEEE Trans. Vis. Comput. Graph. Michelle Borkin, Azalea A. Vo, Zoya Bylinskii, Phillip Isola, Shashank Sunkavalli, Aude Oliva, Hanspeter Pfister
2012	—	`conf`	Basic level scene understanding: from labels to structure and beyond. SIGGRAPH Asia Technical Briefs Jianxiong Xiao, Bryan C. Russell, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba
2012	B	`conf`	Establishing a Database for Studying Human Face Photograph Memory. CogSci Wilma A. Bainbridge, Phillip Isola, Idan A. Blank, Aude Oliva
2012	—	`conf`	Image memorability and visual inception. SIGGRAPH Asia Technical Briefs Aditya Khosla, Jianxiong Xiao, Phillip Isola, Antonio Torralba, Aude Oliva
2012	—	`conf`	Memorability of Image Regions. NIPS Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva
2012	A*	`conf`	Recognizing scene viewpoint using panoramic place representation. CVPR Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba
2011	B	`conf`	Canonical views of scenes depend on the shape of the space. CogSci Krista A. Ehinger, Aude Oliva
2011	B	`conf`	Estimating scene typicality from human ratings and image features. CogSci Krista A. Ehinger, Jianxiong Xiao, Antonio Torralba, Aude Oliva
2011	—	`conf`	Understanding the Intrinsic Memorability of Images. NIPS Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva
2011	A*	`conf`	What makes an image memorable? CVPR Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva
2010	A*	`conf`	SUN database: Large-scale scene recognition from abbey to zoo. CVPR Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba
2006	—	`conf`	Ethics in image manipulation Video presentations from this panel session are available on the citation page. SIGGRAPH Panels Kathryn Carlson, Brian DeLevie, Aude Oliva
2006	J	`jnl`	Hybrid images. ACM Trans. Graph. Aude Oliva, Antonio Torralba, Philippe G. Schyns
2005	—	`conf`	Human Learning of Contextual Priors for Object Search: Where does the time go? CVPR Workshops Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba
2003	—	`conf`	Top-down control of visual attention in object detection. ICIP (1) Aude Oliva, Antonio Torralba, Monica S. Castelhano, John M. Henderson
2002	J	`jnl`	Depth Estimation from Image Structure. IEEE Trans. Pattern Anal. Mach. Intell. Antonio Torralba, Aude Oliva
2002	—	`conf`	Scene-Centered Description from Spatial Envelope Properties. Biologically Motivated Computer Vision Aude Oliva, Antonio Torralba
2001	J	`jnl`	Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope. Int. J. Comput. Vis. Aude Oliva, Antonio Torralba
2000	J	`jnl`	Classification of scene photographs from local orientations features. Pattern Recognit. Lett. Anne Guérin-Dugué, Aude Oliva
1999	A*	`conf`	Semantic Organization of Scenes using Discriminant Structural Templates. ICCV Antonio Torralba, Aude Oliva