Email:
balakg@mit.edu
guha@rice.edu
Address:
32-D466 Vassar St.
Cambridge, MA
02139
|
|
Email: balakg@mit.edu guha@rice.edu Address: 32-D466 Vassar St. Cambridge, MA 02139 |
|
Welcome! I am now an assistant professor in the Electrical and Computer Engineering Department department at Rice University. 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. |
Image/Video Synthesis |
|
 |
Towards causal benchmarking of bias in face analysis algorithms. G. Balakrishnan, Y. Xiong, W. Xia, P. Perona ECCV 2020 paper |
 |
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 |
 |
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 |
 |
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 |
 |
Video diff: highlighting differences between similar actions in videos. G. Balakrishnan, F. Durand, J. Guttag. Siggraph Asia, 2015 (oral) project page |
Medical Image Analysis
|
|
 |
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 |
 |
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 |
|
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 |
 |
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 |
 |
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
|
|
 |
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 |
 |
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 |
 |
Scalable personalization of long-term physiological monitoring: Active
learning methodologies for epileptic seizure onset detection. G. Balakrishnan, Z. Syed. AISTATS, 2012. paper |