Guha Balakrishnan

Face




Email:
balakg@mit.edu
guha@rice.edu

Address:
32-D466 Vassar St.
Cambridge, MA
02139

About Me

Welcome! I am currently a research scientist at Amazon Web Services (AWS). I will join the Electrical and Computer Engineering Department at Rice University as an assistant professor in July 2021.

I have a broad range of research interests in computer vision and graphics. I am particularly interested nowadays in generative image models and their applications, mid-level vision/perception, algorithmic fairness, and medical applications.

I completed my PhD (2018) and Master's (2013) degrees in CSAIL at MIT, under the supervision of John Guttag and Frédo Durand. I was also a postdoctoral researcher in Bill Freeman's group at MIT from 2018-2020. I received my undergraduate degrees in Computer Science and Computer Engineering from the University of Michigan, Ann Arbor in 2011.

Some Projects By Category

Image/Video Synthesis


Counterfactual faces

Towards causal benchmarking of bias in face analysis algorithms.
G. Balakrishnan, Y. Xiong, W. Xia, P. Perona
ECCV 2020
paper
Art

Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings.
A. Zhao, G. Balakrishnan, K.M. Lewis, F. Durand, J. Guttag, A. V. Dalca
CVPR 2020
paper
vdp-teaser
Visual Deprojection: Probabilistic Recovery of Collapsed Dimensions in Images and Videos.
G. Balakrishnan, A. V. Dalca, A. Zhao, J. Guttag, F. Durand,
W.T. Freeman.
ICCV 2019
paper

Press:
mit news, engadget, petapixel, science daily, techspot

pose teaser

Synthesizing Images of Humans in Unseen Poses.
G. Balakrishnan, A. Zhao, A. V. Dalca, F. Durand, J. Guttag.
CVPR, 2018 (oral)
paper, code

Press:
csail news
videodiff-teaser

Video diff: highlighting differences between similar actions in videos.
G. Balakrishnan,  F. Durand, J. Guttag.
Siggraph Asia, 2015 (oral)
project page

Medical Image Analysis


voxelmorph

An Unsupervised Learning Model for Deformable Medical Image Registration.
G. Balakrishnan, A. Zhao, M. R. Sabuncu, J. Guttag, A. V. Dalca.
CVPR, 2018
paper, code

Press:
mit news, nvidia, innovatorsmag, extremetech, semiengineering, physicsworld, electronics360, radiologybusiness, futurelab3d, techexplorist, healthimaging, acceleratingbiz, bionengineeringtoday
tmi-teaser
VoxelMorph: A Learning Framework for Deformable Medical Image Registration.
G. Balakrishnan, A. Zhao, M.R. Sabuncu, J. Guttag, A. V. Dalca.
IEEE TMI: Transactions in Medical Imaging, 2019
paper
augmentation

Data augmentation using learned transforms for one-shot medical image segmentation.
A. Zhao, G. Balakrishnan, F. Durand, J. Guttag, A. V. Dalca.
CVPR, 2019 (oral)
paper, code
miccai

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration.
A. V. Dalca, G. Balakrishnan, J. Guttag, and M. R. Sabuncu.
MICCAI, 2018 (oral, best paper runner-up)
paper, code
media-gm

Unsupervised Learning of Probabilistic Diffeomorphic Registration for Images and Surfaces.
A.V. Dalca, G. Balakrishnan, J. Guttag, M.R. Sabuncu.
Medical Image Analysis (MedIA), 2019
paper

Healthcare


pulse teaser
Detecting Pulse from Head Motions in Video.
G. Balakrishnan,  F. Durand, J. Guttag.
CVPR, 2013.
project page

Press:
mit news, phys.org, newscientist, cnet, fox news, sciencenews, kurzweilai
ataxia

A Video-Based Method for Objectively Rating Ataxia.
R. Jaroensri, A. Zhao, G. Balakrishnan, D. Lo, J. Schmahmann, J. Guttag, F. Durand.
MLHC, 2017.
paper
eeg
Scalable personalization of long-term physiological monitoring: Active learning methodologies for epileptic seizure onset detection.
G. Balakrishnan, Z. Syed.
AISTATS, 2012.
paper