Hi! I am a research assistant at Prof. Vineeth N Balasubramanian’s research group Lab1055 at IIT Hyderabad, mainly working on deep active learning for image data. My interests are in the intersection of computer vision and learning with limited labeled data. I am also frequently collaborating with Prof. Wei Guo at Field Phenomics Lab (UTokyo) while working on plant phenotyping solutions.
Before joining Dr. Vineeth’s group in December 2018, I spent 16 months working on machine learning and data science projects at GGK Technologies, a service-based company in Hyderabad. At GGK Technologies, I spent most of my time learning, implementing, and optimizing various machine learning/deep learning pipelines for clients in US health care and retail domains.
I completed my undergraduate from Department of Computer Science and Engineering, Jawaharlal Nehru Technological Univeristy affiliated college Keshav Memorial Institute Of Technology in 2017. I also got myself a PG Diploma in Applied Statistics from open university IGNOU in 2018.
|[Nov. 2020]||Our work, On Initial Pools for Deep Active Learning is accepted at Pre-registration Workshop at Neural Information Processing Systems conference (NeurIPS'20).|
|[Aug. 2020]||Our toolkit, EasyRFP: An Easy-to-Use Edge Computing Toolkit for Real-Time Field Phenotyping is accepted as an extended abstract at Computer Vision Problems in Plant Phenotyping Workshop (CVPPPW-ECCV) and as an academic demostration at European Conference on Computer Vision, 2020 (ECCV'20).|
|[Jul. 2020]||Served as a subreviewer for Neural Information Processing Systems conference (NeurIPS'20) and as a reviewer for Computer Vision Problems in Plant Phenotyping Workshop (CVPPPW-ECCV).|
|[May. 2020]||Served as a subreviewer for European Conference on Computer Vision, 2020 (ECCV'20).|
|[Mar. 2020]||Our survey article, Computer Vision with Deep Learning for Plant Phenotyping in Agriculture is now available on Advanced Computing & Communications (ACC), a quarterly publication of ACCS, India.|
|[Feb. 2020]||Our paper, Active Learning with Point Supervision for Cost-Effective Panicle Detection in Cereal Crops, has been accepted to BMC Plant Methods journal. [Impact Factor: 4.5]|
|[Dec. 2018]||Delighted to have received the Intel® Edge AI Scholarship at Udacity.|
|[Oct. 2019]||Served as a subreviewer for SIAM International Conference on Data Mining, 2020 (SDM'20).|
|[Sep. 2019]||Completed writing a tutorial series (6 articles) on how neural networks "learn". Check out Learning Parameters series on Medium.|
|[July 2019]||Our paper, An Adaptive Supervision for Active Learning in Object Detection, has been accepted to British Machine Vision Conference (BMVC'19) as a poster presentation|
|[Apr. 2019]||Released an easy-to-use python library, Image Bounding Box Slicer that slices images and their bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts.|
|[Dec. 2018]||Joined Dr. Vineeth N Balasubramanian's research group at IIT-Hyderabad.|
|[Dec. 2019]||Delighted to have received the PyTorch Scholarship from Facebook at Udacity.|
|[Oct. 2018]||Released code for the HCI application Mouse Cursor Control With Facial Movements on Github.|
|[Aug. 2018]||Received Employee-Of-The-Month award at GGK Technologies for building a Computer Vision application that detects product pickups in a retail store and provides other customer behaviour metrics, from just the CCTV footage.|
|[June 2018]||Received PG Diploma in Applied Statistics from the open university IGNOU with 85% score.|
|JNTU Hyderabad (KMIT)
|Udacity Computer Vision Reviewer
|PGD in Applied Statistics