|
Abrar Majeedi I'm a PhD student at the University of Wisconsin-Madison, working on computer vision, focusing on video machine learning and sequential data. I am fortunate to be advised by Prof. Yin Li. I have previously done research internships at Amazon, Microsoft and Dell EMC. |
|
ResearchI'm interested in computer vision and deep learning. I have mostly worked on video machine learning and lately I have been working on multimodal sequential data. |
|
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 Project page / arXiv Action quality assessment in videos by incorporating human designed scoring rubrics while providing calibrated uncertainty estimates. |
|
Glottic Opening Detection using Deep Learning for Neonatal Intubation with Video Laryngoscopy
Abrar Majeedi, Patrick Peebles, Yin Li, Ryan McAdams, Nature - Journal of Perinatology 2024 Auotmatically detect the glottic opening during neonatal intubation using video laryngoscopy to improve intubation outcomes. |
|
Deep learning to quantify care manipulation activities in neonatal intensive care units
Abrar Majeedi, Ryan 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. |
|
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 Machine Learning-based Video Codecs. |
|
|
Detecting Egocentric Actions with ActionFormer
Chenlin Zhang, Lin Sui, Abrar Majeedi, Viswantha Reddy Gajjala, Yin Li EPIC @ CVPR Workshop 2022 Report / Code Placed 2nd in the Egocentric action detection challenge |
