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Antonio Torralba

Dynamic Modeling of Hand-Object Interactions via Tactile Sensing


Sep 09, 2021
Qiang Zhang, Yunzhu Li, Yiyue Luo, Wan Shou, Michael Foshey, Junchi Yan, Joshua B. Tenenbaum, Wojciech Matusik, Antonio Torralba

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* IROS 2021. First two authors contributed equally. Project page: http://phystouch.csail.mit.edu/ 
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What You Can Learn by Staring at a Blank Wall


Aug 30, 2021
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Fredo Durand

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3D Neural Scene Representations for Visuomotor Control


Jul 08, 2021
Yunzhu Li, Shuang Li, Vincent Sitzmann, Pulkit Agrawal, Antonio Torralba

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* First two authors contributed equally. Project Page: https://3d-representation-learning.github.io/nerf-dy/ 
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Learning to See by Looking at Noise


Jun 10, 2021
Manel Baradad, Jonas Wulff, Tongzhou Wang, Phillip Isola, Antonio Torralba

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Measuring Generalization with Optimal Transport


Jun 07, 2021
Ching-Yao Chuang, Youssef Mroueh, Kristjan Greenewald, Antonio Torralba, Stefanie Jegelka

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DriveGAN: Towards a Controllable High-Quality Neural Simulation


Apr 30, 2021
Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler

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* CVPR 2021 Oral 
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DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort


Apr 20, 2021
Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler

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* Accepted to CVPR 2021 as an Oral paper. Webpage: https://nv-tlabs.github.io/datasetGAN/ 
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Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales


Apr 17, 2021
Jacob Andreas, GaΕ‘per BeguΕ‘, Michael M. Bronstein, Roee Diamant, Denley Delaney, Shane Gero, Shafi Goldwasser, David F. Gruber, Sarah de Haas, Peter Malkin, Roger Payne, Giovanni Petri, Daniela Rus, Pratyusha Sharma, Dan Tchernov, Pernille TΓΈnnesen, Antonio Torralba, Daniel Vogt, Robert J. Wood

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BARF: Bundle-Adjusting Neural Radiance Fields


Apr 13, 2021
Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey

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Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization


Apr 12, 2021
Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler

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* CVPR2021 
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The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI


Mar 25, 2021
Chuang Gan, Siyuan Zhou, Jeremy Schwartz, Seth Alter, Abhishek Bhandwaldar, Dan Gutfreund, Daniel L. K. Yamins, James J DiCarlo, Josh McDermott, Antonio Torralba, Joshua B. Tenenbaum

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* Project page: http://tdw-transport.csail.mit.edu/ 
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Paint by Word


Mar 24, 2021
David Bau, Alex Andonian, Audrey Cui, YeonHwan Park, Ali Jahanian, Aude Oliva, Antonio Torralba

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* 10 pages, 9 figures 
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Deep Feedback Inverse Problem Solver


Jan 19, 2021
Wei-Chiu Ma, Shenlong Wang, Jiayuan Gu, Sivabalan Manivasagam, Antonio Torralba, Raquel Urtasun

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* ECCV 2020 Spotlight 
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Energy-Based Models for Continual Learning


Nov 24, 2020
Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch

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Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration


Oct 19, 2020
Xavier Puig, Tianmin Shu, Shuang Li, Zilin Wang, Joshua B. Tenenbaum, Sanja Fidler, Antonio Torralba

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Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering


Oct 18, 2020
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler

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LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

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* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 
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Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space


Sep 14, 2020
Jonas Wulff, Antonio Torralba

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Understanding the Role of Individual Units in a Deep Neural Network


Sep 12, 2020
David Bau, Jun-Yan Zhu, Hendrik Strobelt, Agata Lapedriza, Bolei Zhou, Antonio Torralba

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* Proceedings of the National Academy of Sciences 2020. Code at https://github.com/davidbau/dissect/ and website at https://dissect.csail.mit.edu/ 
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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement


Aug 24, 2020
William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

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* ECCV 2020 (Spotlight). Code available at https://github.com/wpeebles/hessian_penalty . Project page and videos available at https://www.wpeebles.com/hessian-penalty 
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Detecting natural disasters, damage, and incidents in the wild


Aug 20, 2020
Ethan Weber, Nuria Marzo, Dim P. Papadopoulos, Aritro Biswas, Agata Lapedriza, Ferda Ofli, Muhammad Imran, Antonio Torralba

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* ECCV 2020 
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Rewriting a Deep Generative Model


Jul 30, 2020
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba

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* ECCV 2020 (oral). Code at https://github.com/davidbau/rewriting. For videos and demos see https://rewriting.csail.mit.edu/ 
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Noisy Agents: Self-supervised Exploration by Predicting Auditory Events


Jul 27, 2020
Chuang Gan, Xiaoyu Chen, Phillip Isola, Antonio Torralba, Joshua B. Tenenbaum

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* Project page: http://noisy-agent.csail.mit.edu 
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Foley Music: Learning to Generate Music from Videos


Jul 21, 2020
Chuang Gan, Deng Huang, Peihao Chen, Joshua B. Tenenbaum, Antonio Torralba

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* ECCV 2020. Project page: http://foley-music.csail.mit.edu 
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Estimating Generalization under Distribution Shifts via Domain-Invariant Representations


Jul 06, 2020
Ching-Yao Chuang, Antonio Torralba, Stefanie Jegelka

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* International Conference on Machine Learning, 2020 
 * arXiv admin note: text overlap with arXiv:1910.05804 
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Debiased Contrastive Learning


Jul 05, 2020
Ching-Yao Chuang, Joshua Robinson, Lin Yen-Chen, Antonio Torralba, Stefanie Jegelka

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Causal Discovery in Physical Systems from Videos


Jul 02, 2020
Yunzhu Li, Antonio Torralba, Animashree Anandkumar, Dieter Fox, Animesh Garg

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* Project page: https://yunzhuli.github.io/V-CDN/ 
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Diverse Image Generation via Self-Conditioned GANs


Jun 18, 2020
Steven Liu, Tongzhou Wang, David Bau, Jun-Yan Zhu, Antonio Torralba

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* CVPR 2020. Code: https://github.com/stevliu/self-conditioned-gan. Webpage: http://selfcondgan.csail.mit.edu/ 
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AVLnet: Learning Audio-Visual Language Representations from Instructional Videos


Jun 16, 2020
Andrew Rouditchenko, Angie Boggust, David Harwath, Dhiraj Joshi, Samuel Thomas, Kartik Audhkhasi, Rogerio Feris, Brian Kingsbury, Michael Picheny, Antonio Torralba, James Glass

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