Gautam Rajendrakumar Gare

The Robotics Institute • Carnegie Mellon University

CMU Email: ggare AT andrew DOT cmu DOT edu

NSH 1502C

5000 Forbes Avenue

Pittsburgh, Pennsylvania 15213

I am a first-year Ph.D. student in the Robotics Institute at CMU, advised by Prof. John Galeotti and Prof. Deva Ramanan.

Research Interests
My research interests are in the area of Computer Vision and Deep Learning with a focus on Video Understanding targeting both natural and medical image domains.

I obtained my master’s degree in Electrical and Computer Engineering at CMU in December 2020, wherein I carried out research under Prof. John Galeotti, Prof. Aswin C Sankaranarayanan, and Prof. Deva Ramanan. Prior to that, I got my bachelor’s degree in Electronics and Communication Engineering at B. M. S. College of Engineering, India.

I worked as a Software Engineer and Data Scientist at Sling Media subsidiary of Dish Networks, a consumer electronics company for 3 years.

News

Jul 16, 2021 Our paper The Role of Pleura and Adipose in Lung Ultrasound AI got accepted at LL-COVID19 workshop MICCAI 2021! :sparkles: :smile:
Jun 1, 2021 Started my research intern at DawnLight Inc., working on Human Action recognition in medical and assisted living setups, under manager Hadi Kiapour while being advised by Prof. Fei-Fei Li and Prof. Ehsan Adeli.

Selected publications

  1. ISBI 2021
    Dense Pixel-Labeling For Reverse-Transfer And Diagnostic Learning On Lung Ultrasound For Covid-19 And Pneumonia Detection
    Gare, Gautam Rajendrakumar, Schoenling, Andrew, Philip, Vipin, Tran, Hai V, deBoisblanc, Bennett P, Rodriguez, Ricardo Luis, and Galeotti, John Michael
    In 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI) 2021
    PDF
  2. arXiv
    Exploiting Class Similarity for Machine Learning with Confidence Labels and Projective Loss Functions
    Gare, Gautam Rajendrakumar, and Galeotti, John Michael
    2021
    PDF
  3. arXiv
    W-Net: Dense Semantic Segmentation of Subcutaneous Tissue in Ultrasound Images by Expanding U-Net to Incorporate Ultrasound RF Waveform Data
    Gare, Gautam Rajendrakumar, Li, Jiayuan, Joshi, Rohan, Vaze, Mrunal Prashant, Magar, Rishikesh, Yousefpour, Michael, Rodriguez, Ricardo Luis, and Galeotti, John Micheal
    2020
    PDF