Dhruv Batra

me Dhruv Batra
Assistant Professor
Bradley Department of Electrical and Computer Engineering
Virginia Tech

Lead: Machine Learning & Perception Group @ VT
Core Faculty: Virginia Center for Autonomous Systems
Member: Discovery Analytic Center

Email: username -at- domain.edu
(where username = dbatra, domain = vt)
Prospective and VT students: please read my FAQ before emailing me.

Office: 468 Whittemore
Lab: 415 Whittemore
Phone: 540-231-7561

Highlights and News

2 papers accepted at ICCV15. 1 paper accepted at NIPS15.
Devi Parikh and I received a Google Faculty Research Award for Visual Question Answering (VQA)!
I am serving as an Area Chair for CVPR 2016.
Fall 2015:
Teaching ECE 6504: Deep Learning for Perception.
New arxiv paper on VQA: Visual Question Answering.
Check out the dataset at visualqa.org!
2 papers accepted at CVPR15 (1 poster, 1 oral).
I received the Outstanding New Assistant Professor award from the College of Engineering, VT.
Spring 15:
I will be serving as the Doctoral Consortium Chair at ICCV 2015.
Spring 15:
Teaching ECE 5984: Intro to Machine Learning. All video lectures now available.
I received the National Science Foundation (NSF) CAREER award!
I received the Army Research Office (ARO) Young Investigator Program (YIP) award!
Received Windows Azure for Research Award for CloudCV.
Our CloudCV project was awarded an Amazon Web Services (AWS) in Education: Machine Learning Research Grant.
Recognized as the VT Teacher of the Week by the Center for Instructional Development and Educational Research (CIDER), for developing new, innovative curriculum.
[ CIDER News Release | Fall 2013 class | Spring 2013 class ]
My work in Diverse Structured Prediction was awarded an NSF Grant. [Project Page]
We are starting a Computer Vision and Machine Learning Reading Group. Please sign up if interested in participating.
My work with Chris Dyer, Kevin Gimpel and Greg Shakhnarovich, won the Google Faculty Research Award.
I am serving as a Co-Guest-Editor of the TPAMI Special Issue on Higher Order Graphical Models in Computer Vision: Modelling, Inference & Learning.
My group (Machine Learning & Perception @ VT) has an opening for a post-doc. Please email me for details.
Older items.

About Me

I am an Assistant Professor at the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where I lead the VT Machine Learning & Perception group.

From Sep 2010 - Dec 2012, I was a Research Assistant Professor at Toyota Technological Institute at Chicago (TTIC), a philanthropically endowed academic computer science institute located in the campus of University of Chicago.

I received my Ph.D. in 2010 from Carnegie Mellon University, advised by Tsuhan Chen. I had the pleasure of spending the last 1.5 years of my grad school life at Cornell, following my advisor's move.

In past, I have held visiting positions at:

As a student, I have spent time at: Official Bio.


My research interests lie at the intersection of machine learning and computer vision, with a focus on developing efficient probabilistic models that learn from large quantities of data and make progress on difficult perception problems.

On the machine learning front, I develop tools such as

On the computer vision front, I focus on My Google Scholar profile.

Press Coverage

The research performed by my group has been covered here:

Quoted in coverage not directly about my work:


My group is supported by the following:

Research Grants

Gifts, Equipment and Organizational Grants



I lead the VT Machine Learning & Perception Group. Here are the current and past members:

Current Students


Visiting Students

MLP Group Alumni (Graduated Students & Former Interns)

Former Student Collaborators


On the web

All Talks