Oliva, Aude

42 publications

NeurIPS 2024 $\textit{Trans-LoRA}$: Towards Data-Free Transferable Parameter Efficient Finetuning Runqian Wang, Soumya Ghosh, David Cox, Diego Antognini, Aude Oliva, Rogerio Feris, Leonid Karlinsky

ICMLW 2024 A Systematic Comparison of fMRI-to-Video Reconstruction Techniques Camilo Luciano Fosco, Ben Lahner, Alex J Andonian, Bowen Pan, Aude Oliva

ECCV 2024 Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals Camilo L Fosco, Benjamin Lahner, Bowen Pan, Alex Andonian, Emilie L Josephs, Alex Lascelles, Aude Oliva

NeurIPS 2024 ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs 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, Rogerio Feris, Leonid Karlinsky

WACV 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, Rogerio Feris, Kate Saenko

ICMLW 2024 Long Context Understanding Using Self-Generated Synthetic Data Jerry Li, Subhro Das, Aude Oliva, Dmitry Krotov, Leonid Karlinsky, Rogerio Feris

ICCV 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, Gul Varol, Aude Oliva, Vicente Ordonez, Rogerio Feris, Leonid Karlinsky

NeurIPS 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, Rogerio Feris

CVPR 2023 Leveraging Temporal Context in Low Representational Power Regimes Camilo L. Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva

CVPR 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 Kolář, 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, 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 Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik

NeurIPS 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, Rogerio Feris

ICLR 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, Rogerio Feris

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

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

ICCV 2021 Dynamic Network Quantization for Efficient Video Inference Ximeng Sun, Rameswar Panda, Chun-Fu Chen, Aude Oliva, Rogerio Feris, Kate Saenko

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

CVPR 2021 Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions Mathew Monfort, SouYoung Jin, Alexander Liu, David Harwath, Rogerio Feris, James Glass, Aude Oliva

ICLR 2021 VA-RED$^2$: Video Adaptive Redundancy Reduction Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris

ECCV 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, Rogerio Feris

ECCV 2020 Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry McNamara, Aude Oliva

CVPRW 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

ECCV 2020 We Have so Much in Common: Modeling Semantic Relational Set Abstractions in Videos Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogerio Feris, Carl Vondrick, Aude Oliva

CVPRW 2019 Identifying Interpretable Action Concepts in Deep Networks Kandan Ramakrishnan, Mathew Monfort, Barry A. McNamara, Alex Lascelles, Dan Gutfreund, Rogério Schmidt Feris, Aude Oliva

ECCV 2018 Temporal Relational Reasoning in Videos Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba

CVPR 2017 Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau, Bolei Zhou, Aditya Khosla, Aude Oliva, Antonio Torralba

CVPR 2016 Learning Deep Features for Discriminative Localization Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba

ECCV 2016 Where Should Saliency Models Look Next? Zoya Bylinskii, Adrià Recasens, Ali Borji, Aude Oliva, Antonio Torralba, Frédo Durand

NeurIPS 2015 Learning Visual Biases from Human Imagination Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio Torralba

ICLR 2015 Object Detectors Emerge in Deep Scene CNNs Bolei Zhou, Aditya Khosla, Àgata Lapedriza, Aude Oliva, Antonio Torralba

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

NeurIPS 2014 Learning Deep Features for Scene Recognition Using Places Database Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, Aude Oliva

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

ECCV 2014 Recognizing City Identity via Attribute Analysis of Geo-Tagged Images Bolei Zhou, Liu Liu, Aude Oliva, Antonio Torralba

ICCV 2013 Modifying the Memorability of Face Photographs Aditya Khosla, Wilma A. Bainbridge, Antonio Torralba, Aude Oliva

NeurIPS 2012 Memorability of Image Regions Aditya Khosla, Jianxiong Xiao, Antonio Torralba, Aude Oliva

CVPR 2012 Recognizing Scene Viewpoint Using Panoramic Place Representation Jianxiong Xiao, Krista A. Ehinger, Aude Oliva, Antonio Torralba

NeurIPS 2011 Understanding the Intrinsic Memorability of Images Phillip Isola, Devi Parikh, Antonio Torralba, Aude Oliva

CVPR 2011 What Makes an Image Memorable? Phillip Isola, Jianxiong Xiao, Antonio Torralba, Aude Oliva

CVPR 2010 SUN Database: Large-Scale Scene Recognition from Abbey to Zoo Jianxiong Xiao, James Hays, Krista A. Ehinger, Aude Oliva, Antonio Torralba

CVPR 2005 Human Learning of Contextual Priors for Object Search: Where Does the Time Go? Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba

CVPRW 2005 Human Learning of Contextual Priors for Object Search: Where Does the Time Go? Barbara Hidalgo-Sotelo, Aude Oliva, Antonio Torralba

ICCV 1999 Semantic Organization of Scenes Using Discriminant Structural Templates Antonio Torralba, Aude Oliva