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 students: please read this note before emailing me.

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


I received the Army Research Office (ARO) Young Investigator Program (YIP) award!
2 papers accepted at CVPR14. 1 paper accepted at AISTATS14.
Received an equipment gift (Tesla K40) as part of the NVIDIA Academic Hardware Donation Program. Thanks NVIDIA!
Recieved Windows Azure for Research Award for CloudCV.
Spring 13:
Teaching ECE 6504: Advanced Machine Learning: Probabilistic Graphical Models.
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 ]
My work with Chris Dyer, Kevin Gimpel and Greg Shakhnarovich, won the Google Faculty Research Award.
Fall 2013:
Teaching ECE 4984/5984: Introduction to Machine Learning & Perception. From now on, this class will be offered only in Fall.
We are starting a Computer Vision and Machine Learning Reading Group. Please sign up if interested in participating.
1 paper accepted at ICCV 2013. 1 paper accepted at EMNLP 2013.
I taught a tutorial on Beyond MAP: Making Multiple Predictions from Probabilistic Models: Diversity, DPPs and more at CVPR13, with Alex Kulesza, Dennis Park and Deva Ramanan. Slides and videos are now online.
I am serving as a Co-Guest-Editor of the TPAMI Special Issue on Higher Order Graphical Models in Computer Vision: Modelling, Inference & Learning.
Spring 13:
Taught ECE 4984/5984: Introduction to Machine Learning & Perception. Student poster/demo session featured in ECE News. Some demo videos available here.
2 papers accepted at CVPR13 (1 poster, 1 oral). 1 paper accepted at AISTATS13 (oral).
Moved to VT: 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 recieved my Ph.D. in 2010 from Carnegie Mellon University.

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.



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

Current Graduate Students


Current Interns & Collaborators

Former Interns & Advisees


On the web

All Talks