About Me

Avatar

I am an Electrical Engineering Ph.D. student at Penn State University under the supervision of Prof. Vishal Monga (iPAL). My research is focussed on developing domain enriched machine learning frameworks for image and vision applications that include image Dehazing, Super-Resolution, and Segmentation. Primary emphasis is laid on combining rich modeling capacity of deep learning with domain knowledge to address challenging problems like limited training data.

Industrial/Research Experience

Palo Alto Research Center
Research Intern

May'18 - August'18

Information Processing and Algorithm Laboratory
Research Assistant

Aug'2015 - Now

Cadence Design Systems
Senior Design Engineer

July'2013 - June'2015

Publications

Journal Publications

1. V. Cherukuri, Guo T., Steven J. Schiff, and Monga, V. "Deep MR Image Super-Resolution Using Spatio-Structural Priors", Accepted, IEEE Transactions on Image Processing. (Project Page) (arXiv)

2. V. Cherukuri et al., "Learning Based Segmentation of CT Brain Images: Application to Postoperative Hydrocephalic Scans", IEEE Transactions on Biomedical Engineering, volume 65, issue 8, pages 1871-1884, August 2018. (IEEE Xplore) (arXiv)

3. A. Kulkarni, S. J. Schiff, B. C. Warf, V. Monga, V. Cherukuri et al, "Endoscopic Treatment versus Shunting for Infant Hydrocephalus in Uganda'', New England Journal of Medicine, 337:2456-2464, December, 2017.(Impact Factor = 72)(Link)

4. V. Cherukuri, Vijay B. G., Raja. B., and Monga, V. "Deep Retinal Image Segmentation with Regularization Under Geometric Priors", Under review, IEEE Transactions on Image Processing.

Conference Publications

1. V. Cherukuri, Vijay B. G., Raja. B., and Monga, V. "Multi-Scale Regularized Deep Network for Retinal Vessel Segmentation", Accepted, IEEE International Conference on Image Processing (ICIP) 2019.

2. T. Guo, X. Li, V. Cherukuri, V. Monga, "Dense Scene Information Estimation Network for Dehazing", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. (Winner NTIRE'19 Dehazing Challenge)(Project Page) (Paper)

3. T. Guo, V. Cherukuri , V. Monga, "Dense 123 Color Enhancement Dehazing Network", IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2019. (Second place NTIRE'19 Dehazing Challenge)(Project Page) (Paper)

4. C. O. Ancuti, C. Ancuti, R. Timofte, V. Cherukuri, et al "NTIRE 2019 Challenge on image dehazing: Methods and results", 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

5. V. Cherukuri, Guo T., Steven J. Schiiff, and Monga, V. "Deep MR Image Super-Resolution Using Structural Priors." In 2018 25th IEEE International Conference on Image Processing (ICIP), pp. 410-414. IEEE, 2018.(IEEE Xplore) (arXiv)

6. V. Cherukuri, P. Ssenyonga, Benjamin C. Warf, Abhaya V. Kulkarni, V. Monga and Steven J. Schiiff, \Learning based image segmentation of post-operative CT-images: A hydrocephalus case study", in 8th IEEE/EMBS International Conference on Neural Engineering (NER), 25{28 May 2017, Shanghai, China. (Student Paper Finalist)(IEEE Xplore)

Contact Me

Address

104 Electrical Engineering East Building,

University Park, PA 16802, USA

Email

vmc5164@psu.edu

Social Media

Linkedin