Computer Science PhD Student
Georgia Tech
abhshkdz at gatech dot edu



I am a 3rd year Computer Science PhD student at Georgia Tech, advised by Dhruv Batra, and working closely with Devi Parikh. My research focuses on deep learning and its applications in building agents that can see (computer vision), think (reasoning/interpretability), talk (language modeling), and act (reinforcement learning). My CV is available here.

IIT Roorkee
2011 - 2015
Queensland Brain Institute
Summer 2015
Virginia Tech
2015 - 2016
Georgia Tech
2017 - Present
Facebook AI Research
S2017, W2018, S2018

I’ve spent three wonderful semesters as an intern at Facebook AI Research — Summer 2017 and Spring 2018 at Menlo Park, working with Georgia Gkioxari, Devi Parikh and Dhruv Batra on training embodied agents for navigation and question-answering in simulated environments (see, and Summer 2018 at Montréal, working with Mike Rabbat and Joelle Pineau on emergent communication protocols in large-scale multi-agent reinforcement learning.

Prior to joining grad school, I worked on neural coding in zebrafish tectum as an intern under Prof. Geoffrey Goodhill and Lilach Avitan at the Goodhill Lab, Queensland Brain Institute.

I graduated from Indian Institute of Technology Roorkee in 2015. During my undergrad years, I’ve been selected twice for Google Summer of Code (2013 and 2014), won several hackathons and security contests (Yahoo! HackU!, Microsoft Code.Fun.Do., Deloitte CCTC 2013 and 2014), and been an active member of SDSLabs.

On the side, I built neural-vqa, an efficient Torch implementation for visual question answering (and its extension neural-vqa-attention), and maintain (countdowns to a bunch of CV/NLP/ML/AI conference deadlines), and several other side projects (HackFlowy, graf, etc). I also help maintain Erdős, a competitive math learning platform I created during my undergrad. I often tweet, and post pictures from my travels on Instagram and Tumblr.

Blog posts from a previous life.


TarMAC: Targeted Multi-Agent Communication

Abhishek Das, Théophile Gervet, Joshua Romoff, Dhruv Batra, Devi Parikh, Michael Rabbat, Joelle Pineau

Neural Modular Control for Embodied Question Answering

Abhishek Das, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
CoRL 2018 (Spotlight)
Paper Presentation video

Embodied Question Answering

Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, Dhruv Batra
CVPR 2018 (Oral)
Paper Code Presentation video

Evaluating Visual Conversational Agents via Cooperative Human-AI Games

Prithvijit Chattopadhyay*, Deshraj Yadav*, Viraj Prabhu, Arjun Chandrasekaran, Abhishek Das, Stefan Lee, Dhruv Batra, Devi Parikh
HCOMP 2017
Paper Code

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Abhishek Das*, Satwik Kottur*, Stefan Lee, José M.F. Moura, Dhruv Batra
ICCV 2017 (Oral)
Paper Presentation video

Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization

Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, Dhruv Batra
ICCV 2017, NIPS 2016 Interpretable ML for Complex Systems Workshop
Paper Code Demo

Visual Dialog

Abhishek Das, Satwik Kottur, Khushi Gupta, Avi Singh, Deshraj Yadav, José M.F. Moura, Devi Parikh, Dhruv Batra
PAMI 2018, CVPR 2017 (Spotlight)
Paper Code AMT chat interface Demo Presentation video

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?

Abhishek Das*, Harsh Agrawal*, C. Lawrence Zitnick, Devi Parikh, Dhruv Batra
CVIU 2017, EMNLP 2016, ICML 2016 Workshop on Visualization for Deep Learning
Paper Project+Dataset neural-vqa-attention


Side projects


Torch implementation of an attention-based visual question answering model (Yang et al., CVPR16). The model looks at an image, reads a question, and comes up with an answer to the question and a heatmap of where it looked in the image to answer it. Some results here. is a webpage to keep track of CV/NLP/ML/AI conference deadlines. It's hosted on GitHub, and countdowns are automatically updated via changes to the data file in the repo.


neural-vqa is an efficient, GPU-based Torch implementation of the visual question answering model from the NIPS 2015 paper 'Exploring Models and Data for Image Question Answering' by Ren et al.


Erdős by SDSLabs is a competitive math learning platform, similar in spirit to Project Euler, albeit more feature-packed (support for holding competitions, has a social layer) and prettier.


graf plots pretty git contribution bar graphs in the terminal. gem install graf to install.


Clone of, a beautiful, list-based note-taking website that has a 500-item monthly limit on the free tier :-(. This project is an open-source clone of WorkFlowy. "Make lists. Not war." :-)


AirMaps was a fun hackathon project that lets users navigate through Google Earth with gestures and speech commands using a Kinect sensor. It was the winning entry in Microsoft Code.Fun.Do.


Another fun hackathon-winning project built during Yahoo! HackU! 2012 that involves webRTC-based P2P video chat, and was faster than any other video chat provider (at the time, before Google launched Hangouts).


Ugly-looking, but super-effective bash script for downloading entire playlists from 8tracks. (Still works as of 10/2016).