Antonio Torralba

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Assistant Professor of Electrical Engineering and Computer Science at Massachusetts Institute of Technology

Energy-Based Models for Continual Learning

We motivate Energy-Based Models (EBMs) as a promising model class for co...
11/24/2020 ∙ by Shuang Li, et al. ∙ 1 ∙ share

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

In this paper, we introduce Watch-And-Help (WAH), a challenge for testin...
10/19/2020 ∙ by Xavier Puig, et al. ∙ 15 ∙ share

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

Differentiable rendering has paved the way to training neural networks t...
10/18/2020 ∙ by Yuxuan Zhang, et al. ∙ 10 ∙ share

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LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...
10/17/2020 ∙ by Yunchao Wei, et al. ∙ 4 ∙ share

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Improving Inversion and Generation Diversity in StyleGAN using a Gaussianized Latent Space

Modern Generative Adversarial Networks are capable of creating artificia...
09/14/2020 ∙ by Jonas Wulff, et al. ∙ 0 ∙ share

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Understanding the Role of Individual Units in a Deep Neural Network

Deep neural networks excel at finding hierarchical representations that ...
09/10/2020 ∙ by David Bau, et al. ∙ 11 ∙ share

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The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

Existing disentanglement methods for deep generative models rely on hand...
08/24/2020 ∙ by William Peebles, et al. ∙ 9 ∙ share

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Detecting natural disasters, damage, and incidents in the wild

Responding to natural disasters, such as earthquakes, floods, and wildfi...
08/20/2020 ∙ by Ethan Weber, et al. ∙ 4 ∙ share

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Rewriting a Deep Generative Model

A deep generative model such as a GAN learns to model a rich set of sema...
07/30/2020 ∙ by David Bau, et al. ∙ 12 ∙ share

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Noisy Agents: Self-supervised Exploration by Predicting Auditory Events

Humans integrate multiple sensory modalities (e.g. visual and audio) to ...
07/27/2020 ∙ by Chuang Gan, et al. ∙ 1 ∙ share

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Foley Music: Learning to Generate Music from Videos

In this paper, we introduce Foley Music, a system that can synthesize pl...
07/21/2020 ∙ by Chuang Gan, et al. ∙ 0 ∙ share

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Estimating Generalization under Distribution Shifts via Domain-Invariant Representations

When machine learning models are deployed on a test distribution differe...
07/06/2020 ∙ by Ching-Yao Chuang, et al. ∙ 0 ∙ share

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Causal Discovery in Physical Systems from Videos

Causal discovery is at the core of human cognition. It enables us to rea...
07/01/2020 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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Debiased Contrastive Learning

A prominent technique for self-supervised representation learning has be...
07/01/2020 ∙ by Ching-Yao Chuang, et al. ∙ 0 ∙ share

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Diverse Image Generation via Self-Conditioned GANs

We introduce a simple but effective unsupervised method for generating r...
06/18/2020 ∙ by Steven Liu, et al. ∙ 12 ∙ share

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AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Current methods for learning visually grounded language from videos ofte...
06/16/2020 ∙ by Andrew Rouditchenko, et al. ∙ 14 ∙ share

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Learning to Simulate Dynamic Environments with GameGAN

Simulation is a crucial component of any robotic system. In order to sim...
05/25/2020 ∙ by Seung Wook Kim, et al. ∙ 19 ∙ share

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Semantic Photo Manipulation with a Generative Image Prior

Despite the recent success of GANs in synthesizing images conditioned on...
05/15/2020 ∙ by David Bau, et al. ∙ 21 ∙ share

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Visual Grounding of Learned Physical Models

Humans intuitively recognize objects' physical properties and predict th...
04/28/2020 ∙ by Yunzhu Li, et al. ∙ 2 ∙ share

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Music Gesture for Visual Sound Separation

Recent deep learning approaches have achieved impressive performance on ...
04/20/2020 ∙ by Chuang Gan, et al. ∙ 2 ∙ share

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Self-supervised Moving Vehicle Tracking with Stereo Sound

Humans are able to localize objects in the environment using both visual...
10/25/2019 ∙ by Chuang Gan, et al. ∙ 10 ∙ share

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Seeing What a GAN Cannot Generate

Despite the success of Generative Adversarial Networks (GANs), mode coll...
10/24/2019 ∙ by David Bau, et al. ∙ 53 ∙ share

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Gaze360: Physically Unconstrained Gaze Estimation in the Wild

Understanding where people are looking is an informative social cue. In ...
10/22/2019 ∙ by Petr Kellnhofer, et al. ∙ 18 ∙ share

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Learning Compositional Koopman Operators for Model-Based Control

Finding an embedding space for a linear approximation of a nonlinear dyn...
10/18/2019 ∙ by Yunzhu Li, et al. ∙ 0 ∙ share

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The Role of Embedding Complexity in Domain-invariant Representations

Unsupervised domain adaptation aims to generalize the hypothesis trained...
10/13/2019 ∙ by Ching-Yao Chuang, et al. ∙ 0 ∙ share

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CLEVRER: CoLlision Events for Video REpresentation and Reasoning

The ability to reason about temporal and causal events from videos lies ...
10/03/2019 ∙ by Kexin Yi, et al. ∙ 12 ∙ share

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Connecting Touch and Vision via Cross-Modal Prediction

Humans perceive the world using multi-modal sensory inputs such as visio...
06/14/2019 ∙ by Yunzhu Li, et al. ∙ 4 ∙ share

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How to make a pizza: Learning a compositional layer-based GAN model

A food recipe is an ordered set of instructions for preparing a particul...
06/06/2019 ∙ by Dim P. Papadopoulos, et al. ∙ 0 ∙ share

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Meta-Sim: Learning to Generate Synthetic Datasets

Training models to high-end performance requires availability of large l...
04/25/2019 ∙ by Amlan Kar, et al. ∙ 12 ∙ share

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Self-Supervised Audio-Visual Co-Segmentation

Segmenting objects in images and separating sound sources in audio are c...
04/18/2019 ∙ by Andrew Rouditchenko, et al. ∙ 0 ∙ share

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The Sound of Motions

Sounds originate from object motions and vibrations of surrounding air. ...
04/11/2019 ∙ by Hang Zhao, et al. ∙ 0 ∙ share

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Visualizing and Understanding Generative Adversarial Networks (Extended Abstract)

Generative Adversarial Networks (GANs) have achieved impressive results ...
01/29/2019 ∙ by David Bau, et al. ∙ 22 ∙ share

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Visual Object Networks: Image Generation with Disentangled 3D Representation

Recent progress in deep generative models has led to tremendous breakthr...
12/06/2018 ∙ by Jun-Yan Zhu, et al. ∙ 8 ∙ share

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Dataset Distillation

Model distillation aims to distill the knowledge of a complex model into...
11/27/2018 ∙ by Tongzhou Wang, et al. ∙ 3 ∙ share

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GAN Dissection: Visualizing and Understanding Generative Adversarial Networks

Generative Adversarial Networks (GANs) have recently achieved impressive...
11/26/2018 ∙ by David Bau, et al. ∙ 10 ∙ share

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Recipe1M: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

In this paper, we introduce Recipe1M, a new large-scale, structured corp...
10/14/2018 ∙ by Javier Marin, et al. ∙ 0 ∙ share

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Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

We marry two powerful ideas: deep representation learning for visual rec...
10/04/2018 ∙ by Kexin Yi, et al. ∙ 0 ∙ share

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Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids

Real-life control tasks involve matter of various substances---rigid or ...
10/03/2018 ∙ by Yunzhu Li, et al. ∙ 2 ∙ share

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Propagation Networks for Model-Based Control Under Partial Observation

There has been an increasing interest in learning dynamics simulators fo...
09/28/2018 ∙ by Yunzhu Li, et al. ∙ 4 ∙ share

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Learning to Zoom: a Saliency-Based Sampling Layer for Neural Networks

We introduce a saliency-based distortion layer for convolutional neural ...
09/10/2018 ∙ by Adria Recasens, et al. ∙ 8 ∙ share

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3D-Aware Scene Manipulation via Inverse Graphics

We aim to obtain an interpretable, expressive and disentangled scene rep...
08/28/2018 ∙ by Shunyu Yao, et al. ∙ 0 ∙ share

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Real-Time Object Pose Estimation with Pose Interpreter Networks

In this work, we introduce pose interpreter networks for 6-DoF object po...
08/03/2018 ∙ by Jimmy Wu, et al. ∙ 4 ∙ share

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VirtualHome: Simulating Household Activities via Programs

In this paper, we are interested in modeling complex activities that occ...
06/19/2018 ∙ by Xavier Puig, et al. ∙ 0 ∙ share

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Revisiting the Importance of Individual Units in CNNs via Ablation

We revisit the importance of the individual units in Convolutional Neura...
06/07/2018 ∙ by Bolei Zhou, et al. ∙ 0 ∙ share

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The Sound of Pixels

We introduce PixelPlayer, a system that, by leveraging large amounts of ...
04/09/2018 ∙ by Hang Zhao, et al. ∙ 0 ∙ share

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Jointly Discovering Visual Objects and Spoken Words from Raw Sensory Input

In this paper, we explore neural network models that learn to associate ...
04/04/2018 ∙ by David Harwath, et al. ∙ 2 ∙ share

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3D Interpreter Networks for Viewer-Centered Wireframe Modeling

Understanding 3D object structure from a single image is an important bu...
04/03/2018 ∙ by Jiajun Wu, et al. ∙ 0 ∙ share

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Revealing hidden scenes by photon-efficient occlusion-based opportunistic active imaging

The ability to see around corners, i.e., recover details of a hidden sce...
02/10/2018 ∙ by Feihu Xu, et al. ∙ 0 ∙ share

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SLAC: A Sparsely Labeled Dataset for Action Classification and Localization

This paper describes a procedure for the creation of large-scale video d...
12/26/2017 ∙ by Hang Zhao, et al. ∙ 0 ∙ share

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Learning to Act Properly: Predicting and Explaining Affordances from Images

We address the problem of affordance reasoning in diverse scenes that ap...
12/20/2017 ∙ by Ching-Yao Chuang, et al. ∙ 0 ∙ share

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Antonio Torralba

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