Anay Majee

PhD Candidate in Computer Science

photo_Anay_Majee.jpg

Located at Dallas, TX

I am a PhD Candidate at the Department of Computer Science at The University of Texas at Dallas where I am advised by Prof.Rishabh Iyer at the CARAML lab.

Prior to this, I was a Data and Applied Scientist II at Microsoft, BingAds team, where I worked on Dense Information Retrieval technique from short phrases (queries). I have also worked as an Applied Research Scientist at Intel India, where I was advised by Dr.Anbumani Subramanian to develop perception learning models for autonomous navigation tasks to make self-driving cars safer and more reliable in unconstrained, heterogeneous traffic environments like India (realized through the India Driving Dataset).

Even Earlier, I worked as an Undergraduate Researcher at the Smart Grid Laboratory of Vellore Institute of Technology where I was advised by Dr. Gnana Swathika O.V. Here, my research realized a large-scale electrical grid through a dynamic computation graph to identify and rectify critical faults without any human intervention.

Check out my list of publications and projects for more details on my research !

news

Jul, 2024 Our paper titled “SMILe: Leveraging Submodular Mutual Information For Robust Few-Shot Object Detection” has been accepted at ECCV 2024, main track. A big shout out to Ryan Sharp who I mentored towards his MS thesis through this project.
May, 2024 Our paper titled “SCoRe : Submodular Combinatorial Representation Learning” has been accepted at ICML 2024, main track.
Nov, 2023 Our Patent on “IoT Based Industrial Energy Monitoring and Control System” has been granted at the Indian Patent Office.
Aug, 2022 Started as a PhD Student at UT Dallas at the CARAML lab.
Jan, 2022 Paper titled “Attention Guided Cosine Margin to Overcome Class-Imbalance in Few-Shot Road Object Detection” accepted at WACV 2022, DNOW workshop.