Bhakti Vilas Baheti

Postdoctoral Researcher

BVBArtificial Intelligence in Biomedical Imaging Lab (AIBIL)

Center for Biomedical Image Computing & Analytics (CBICA)
Department of Radiology
Perelman School of Medicine
University of Pennsylvania

Richards Labs, Suite 700DA
3700 Hamilton Walk
Philadelphia, PA 19104

Email  |  LinkedIn  |  ResearchGate

Educational Qualifications:

Ph.D.  from Center of Excellence in Signal & Image Processing, SGGSIET, Nanded, India

Research Summary

Bhakti completed her PhD from Center of Excellence in Signal & Image Processing, SGGSIET, Nanded, India in 2020. Her major fields of interest include Computer Vision, Machine Learning, Convolutional Neural Networks (CNN) and Medical Image Analysis. She has developed various algorithms for image classification and segmentation based on deep learning in her research. Her research also revolved around reducing computational complexity of CNN architectures for real-time applications.

Publications

Full list of publications can be found at: Google Scholar

Selected publication are listed below:

  1. Bhakti Baheti, Sanjay Talbar and Suhas Gajre, "Towards Computationally Efficient and Realtime Distracted Driver Detection with MobileVGG Network", IEEE Transactions on Intelligent Vehicles, vol. 5, Issue 4, pp. 565-574, Dec. 2020
  2. Bhakti Baheti, Shubham Innani, Suhas Gajre and Sanjay Talbar,  "Semantic scene segmentation in unstructured environment with modified DeepLabV3+", Elsevier Pattern Recognition Letters, Vol. 138, pp. 223-229, Oct. 2020  
  3. Bhakti Baheti, Suhas Gajre and Sanjay Talbar, "Eff-UNet: A Novel Architecture for Semantic Segmentation in Unstructured Environment", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2020, pp. 1473-1481
  4. Bhakti Baheti, Suhas Gajre and Sanjay Talbar, "Detection of distracted driver using convolutional neural network", In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops 2018, pp. 1145-1151, 2018

Accomplishments

1. Received second prize in India Driving Dataset Segmentation Challenge at ICVGIP, 2020

2. Selected for Women in Computer Vision travel grant to present at CVPR 2020

3. Received first prize in India Driving Dataset Lite Segmentation Challenge at NCVPRIPG, 2019

4. Received student travel grant for participation in NCVPRIPG, 2019 being top performing team in India Driving Dataset challenge

5. Received international student travel grant for presenting the research paper at TENCON 2019 from Ministry of Electronics and IT, Govt. of India

6. Selected for IEEE Region 10 student travel fund for presenting at TENCON 2019. (Didn't avail the fund as travel grant was received from MeitY as well)

7. Received international student travel grant for presenting the research paper at CVPR 2018 from Ministry of Electronics and IT, Govt. of India