Akshay L Chandra bio photo

Akshay L Chandra

M.Sc. Student at
University of Freiburg
Freiburg im Breisgau, DE

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Welcome

Hi! I am an M.Sc. Computer Science student at the University of Freiburg, specializing in Artificial Intelligence. Currently, I am working as a Student Research Assistant on robot learning and manipulation, supervised by Iman Nematollahi and Prof. Dr. Wolfram Burgard at the Autonomous Intelligent Systems lab. My current interests are in the intersection of computer vision, robot and deep reinforcement learning.

Earlier, I was a research assistant at Dr. Vineeth N Balasubramanian’s Machine Learning and Vision (MLV) research group at IIT Hyderabad for nearly 3 years, mainly working on deep active learning for image data. During my time at IIT Hyderabad, I also frequently collaborated with Dr. Wei Guo at the Field Phenomics Lab (University of Tokyo) and worked on several plant phenotyping solutions.

News

[Jul 2022] Excited to join the AIS Lab as a Student Research Assistant to work on robot learning and manipulation. Grateful to my supervisors Iman Nematollahi and Prof. Dr. Wolfram Burgard for this opportunity.
[Jan 2022] Our paper, How Useful is Image-Based Active Learning for Plant Organ Segmentation? is accepted to be included on Plant Phenomics, a Science Partner Journal.
[Aug 2021] After nearly 3 years at IIT Hyderabad, I walk away with many friends that will likely stay in life for a long time and an extraordinary mentor who taught me everything I know about computer science research.
[Jul 2021] Served as a subreviewer for Neural Information Processing Systems conference (NeurIPS'21).
[Jul 2021] Our final paper with results, On Initial Pools for Deep Active Learning is accepted to be included in the Proceedings of Machine Learning Research (PMLR), a sister publication to the Journal of Machine Learning Research (JMLR). This was made possible by the NeurIPS 2020 Preregistration Workshop which encourages an alternative publication model for machine learning research.
[Jun 2021] I married the love of my life. 😊❤️
[Nov 2020] Our proposal, On Initial Pools for Deep Active Learning is accepted at Preregistration 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).
[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 - 4.993]
[Jul 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.