Devi Parikh

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Facebook ∙ Georgia Institute of Technology ∙ Virginia Polytechnic Institute and State University

Associate Professor School of Interactive Computing at Georgia Tech and Research Scientist at Facebook AI Research (FAIR)

Featured Co-authors

Yoshua Bengio
324 publications
Jianfeng Gao
127 publications
Ruslan Salakhutdinov
123 publications
Alan Yuille
98 publications
Richard Socher
96 publications
Dhruv Batra
88 publications
Caiming Xiong
88 publications
Jitendra Malik
86 publications
Joelle Pineau
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Pushmeet Kohli
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Mohit Bansal
73 publications

Neuro-Symbolic Generative Art: A Preliminary Study

There are two classes of generative art approaches: neural, where a deep...
07/04/2020 ∙ by Gunjan Aggarwal, et al. ∙ 8 ∙ share

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Feel The Music: Automatically Generating A Dance For An Input Song

We present a general computational approach that enables a machine to ge...
06/21/2020 ∙ by Purva Tendulkar, et al. ∙ 77 ∙ share

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Exploring Crowd Co-creation Scenarios for Sketches

As a first step towards studying the ability of human crowds and machine...
05/15/2020 ∙ by Devi Parikh, et al. ∙ 2 ∙ share

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Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

Following a navigation instruction such as 'Walk down the stairs and sto...
04/30/2020 ∙ by Arjun Majumdar, et al. ∙ 10 ∙ share

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Are we pretraining it right? Digging deeper into visio-linguistic pretraining

Numerous recent works have proposed pretraining generic visio-linguistic...
04/19/2020 ∙ by Amanpreet Singh, et al. ∙ 1 ∙ share

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Predicting A Creator's Preferences In, and From, Interactive Generative Art

As a lay user creates an art piece using an interactive generative art t...
03/03/2020 ∙ by Devi Parikh, et al. ∙ 92 ∙ share

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SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions

Existing VQA datasets contain questions with varying levels of complexit...
01/20/2020 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 44 ∙ share

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Large-scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline

Prior work in visual dialog has focused on training deep neural models o...
12/05/2019 ∙ by Vishvak Murahari, et al. ∙ 16 ∙ share

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12-in-1: Multi-Task Vision and Language Representation Learning

Much of vision-and-language research focuses on a small but diverse set ...
12/05/2019 ∙ by Jiasen Lu, et al. ∙ 22 ∙ share

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Decentralized Distributed PPO: Solving PointGoal Navigation

We present Decentralized Distributed Proximal Policy Optimization (DD-PP...
11/01/2019 ∙ by Erik Wijmans, et al. ∙ 45 ∙ share

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Improving Generative Visual Dialog by Answering Diverse Questions

Prior work on training generative Visual Dialog models with reinforcemen...
09/23/2019 ∙ by Vishvak Murahari, et al. ∙ 18 ∙ share

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ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

We present ViLBERT (short for Vision-and-Language BERT), a model for lea...
08/06/2019 ∙ by Jiasen Lu, et al. ∙ 9 ∙ share

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Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning

We present a hierarchical reinforcement learning (HRL) or options framew...
07/24/2019 ∙ by Nirbhay Modhe, et al. ∙ 17 ∙ share

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Chasing Ghosts: Instruction Following as Bayesian State Tracking

A visually-grounded navigation instruction can be interpreted as a seque...
07/03/2019 ∙ by Peter Anderson, et al. ∙ 3 ∙ share

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RUBi: Reducing Unimodal Biases in Visual Question Answering

Visual Question Answering (VQA) is the task of answering questions about...
06/24/2019 ∙ by Rémi Cadene, et al. ∙ 10 ∙ share

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SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation

We propose SplitNet, a method for decoupling visual perception and polic...
05/18/2019 ∙ by Daniel Gordon, et al. ∙ 0 ∙ share

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Fashion++: Minimal Edits for Outfit Improvement

Given an outfit, what small changes would most improve its fashionabilit...
04/19/2019 ∙ by Wei-Lin Hsiao, et al. ∙ 4 ∙ share

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Emergence of Compositional Language with Deep Generational Transmission

Consider a collaborative task that requires communication. Two agents ar...
04/19/2019 ∙ by Michael Cogswell, et al. ∙ 12 ∙ share

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Towards VQA Models that can Read

Studies have shown that a dominant class of questions asked by visually ...
04/18/2019 ∙ by Amanpreet Singh, et al. ∙ 12 ∙ share

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Counterfactual Visual Explanations

A counterfactual query is typically of the form 'For situation X, why wa...
04/16/2019 ∙ by Yash Goyal, et al. ∙ 24 ∙ share

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Embodied Visual Recognition

Passive visual systems typically fail to recognize objects in the amodal...
04/09/2019 ∙ by Jianwei Yang, et al. ∙ 22 ∙ share

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Embodied Question Answering in Photorealistic Environments with Point Cloud Perception

To help bridge the gap between internet vision-style problems and the go...
04/06/2019 ∙ by Erik Wijmans, et al. ∙ 12 ∙ share

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Habitat: A Platform for Embodied AI Research

We present Habitat, a new platform for research in embodied artificial i...
04/02/2019 ∙ by Manolis Savva, et al. ∙ 58 ∙ share

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Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment

We address the problem of grounding free-form textual phrases by using w...
03/27/2019 ∙ by Samyak Datta, et al. ∙ 0 ∙ share

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Trick or TReAT: Thematic Reinforcement for Artistic Typography

An approach to make text visually appealing and memorable is semantic re...
03/19/2019 ∙ by Purva Tendulkar, et al. ∙ 23 ∙ share

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Lemotif: Abstract Visual Depictions of your Emotional States in Life

We present Lemotif. Lemotif generates a motif for your emotional life. Y...
03/18/2019 ∙ by Devi Parikh, et al. ∙ 20 ∙ share

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CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog

Visual Dialog is a multimodal task of answering a sequence of questions ...
03/07/2019 ∙ by Satwik Kottur, et al. ∙ 18 ∙ share

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Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future

In model-based reinforcement learning, the agent interleaves between mod...
03/05/2019 ∙ by Nan Rosemary Ke, et al. ∙ 14 ∙ share

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Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering

We propose a new class of probabilistic neural-symbolic models, that hav...
02/21/2019 ∙ by Ramakrishna Vedantam, et al. ∙ 24 ∙ share

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Cycle-Consistency for Robust Visual Question Answering

Despite significant progress in Visual Question Answering over the years...
02/15/2019 ∙ by Meet Shah, et al. ∙ 14 ∙ share

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Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded

Many vision and language models suffer from poor visual grounding - ofte...
02/11/2019 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 26 ∙ share

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Embodied Multimodal Multitask Learning

Recent efforts on training visual navigation agents conditioned on langu...
02/04/2019 ∙ by Devendra Singh Chaplot, et al. ∙ 36 ∙ share

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Audio-Visual Scene-Aware Dialog

We introduce the task of scene-aware dialog. Given a follow-up question ...
01/25/2019 ∙ by Huda Alamri, et al. ∙ 48 ∙ share

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Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018)

In a recent workshop paper, Massiceti et al. presented a baseline model ...
01/16/2019 ∙ by Abhishek Das, et al. ∙ 12 ∙ share

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Dialog System Technology Challenge 7

This paper introduces the Seventh Dialog System Technology Challenges (D...
01/11/2019 ∙ by Koichiro Yoshino, et al. ∙ 0 ∙ share

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nocaps: novel object captioning at scale

Image captioning models have achieved impressive results on datasets con...
12/20/2018 ∙ by Harsh Agrawal, et al. ∙ 46 ∙ share

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Do Explanations make VQA Models more Predictable to a Human?

A rich line of research attempts to make deep neural networks more trans...
10/29/2018 ∙ by Arjun Chandrasekaran, et al. ∙ 13 ∙ share

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TarMAC: Targeted Multi-Agent Communication

We explore a collaborative multi-agent reinforcement learning setting wh...
10/26/2018 ∙ by Abhishek Das, et al. ∙ 22 ∙ share

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Neural Modular Control for Embodied Question Answering

We present a modular approach for learning policies for navigation over ...
10/26/2018 ∙ by Abhishek Das, et al. ∙ 6 ∙ share

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Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition

In an open-world setting, it is inevitable that an intelligent agent (e....
10/01/2018 ∙ by Jianwei Yang, et al. ∙ 20 ∙ share

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Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Visual dialog entails answering a series of questions grounded in an ima...
09/06/2018 ∙ by Satwik Kottur, et al. ∙ 0 ∙ share

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Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...
08/08/2018 ∙ by Ramprasaath R. Selvaraju, et al. ∙ 16 ∙ share

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Graph R-CNN for Scene Graph Generation

We propose a novel scene graph generation model called Graph R-CNN, that...
08/01/2018 ∙ by Jianwei Yang, et al. ∙ 6 ∙ share

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Pythia v0.1: the Winning Entry to the VQA Challenge 2018

This document describes Pythia v0.1, the winning entry from Facebook AI ...
07/26/2018 ∙ by Yu Jiang, et al. ∙ 12 ∙ share

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Talk the Walk: Navigating New York City through Grounded Dialogue

We introduce "Talk The Walk", the first large-scale dialogue dataset gro...
07/09/2018 ∙ by Harm de Vries, et al. ∙ 14 ∙ share

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End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video Features

Dialog systems need to understand dynamic visual scenes in order to have...
06/21/2018 ∙ by Chiori Hori, et al. ∙ 0 ∙ share

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Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7

Scene-aware dialog systems will be able to have conversations with users...
06/01/2018 ∙ by Huda Alamri, et al. ∙ 0 ∙ share

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Neural Baby Talk

We introduce a novel framework for image captioning that can produce nat...
03/27/2018 ∙ by Jiasen Lu, et al. ∙ 0 ∙ share

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CoDraw: Visual Dialog for Collaborative Drawing

In this work, we propose a goal-driven collaborative task that contains ...
12/15/2017 ∙ by Jin-Hwa Kim, et al. ∙ 0 ∙ share

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Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

A number of studies have found that today's Visual Question Answering (V...
12/01/2017 ∙ by Aishwarya Agrawal, et al. ∙ 0 ∙ share

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