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Abrar Majeedi I'm a PhD student at the University of Wisconsin-Madison, working on computer vision and its application in Healthcare I am fortunate to be advised by Prof. Yin Li. I have previously done research internships at Amazon, Microsoft and Dell EMC. |
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ResearchI'm interested in computer vision and deep learning. I have mostly worked on video machine learning and lately I have been working on time series data. Some papers are highlighted. |
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RICA2: Rubric-Informed, Calibrated Assessment of Actions
Abrar Majeedi, Viswanatha Reddy Gajjala, Satya Sai Srinath Namburi GNVV, Yin Li, European Conference on Computer Vision (ECCV) 2024, 2024 Project page / arXiv Action quality assessment in videos by incorporating human designed scoring rubrics while providing calibrated uncertainty estimates. |
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Deep learning to quantify care manipulation activities in neonatal intensive care units
Abrar Majeedi, Ryan M. McAdams, Ravneet Kaur, Shubham Gupta, Harpreet Singh, Yin Li npj Digital Medicine, June 2024 PDF / Code Automatically quantify care manipulation activities in neonatal intensive care units (NICUs), while integrating physiological signal data to monitor neonatal stress in NICUs. |
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Full Reference Video Quality Assessment for Machine Learning-Based Video Codecs
Abrar Majeedi, Babak Naderi, Yasaman Hosseinkashi, Juhee Cho, Ruben Alvarez Martinez, Ross Cutler Preprint, 2022 Paper / Code Assess perceptual quality of videos encoded by modern machine learning-based codecs. |
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Detecting Egocentric Actions with ActionFormer
Chenlin Zhang, Lin Sui, Abrar Majeedi, Viswantha Reddy Gajjala, Yin Li EPIC @ CVPR Workshop 2022 Report / Code Assess perceptual quality of videos encoded by modern machine learning-based codecs. |