3 citations · 6 across the 8 of their papers we have counts for
5 papers · 2 filters
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments
Britty Baby, Daksh Thapar, Mustafa Chasmai +5
Minimally invasive surgeries and related applications demand surgical tool classification and segmentation at the instance level. Surgical tools are similar in appearance and are l…
Adversarially Robust Prototypical Few-shot Segmentation with Neural-ODEs
Prashant Pandey, Aleti Vardhan, Mustafa Chasmai +2
Few-shot Learning (FSL) methods are being adopted in settings where data is not abundantly available. This is especially seen in medical domains where the annotations are expensive…
Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs
Prashant Pandey, Mustafa Chasmai, Tanuj Sur +1
Despite the tremendous progress made by deep learning models in image semantic segmentation, they typically require large annotated examples, and increasing attention is being dive…
A View Independent Classification Framework for Yoga Postures
Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj +1
Yoga is a globally acclaimed and widely recommended practice for a healthy living. Maintaining correct posture while performing a Yogasana is of utmost importance. In this work, we…
Person Re-Identification
Mustafa Ebrahim Chasmai, Tamajit Banerjee
Person Re-Identification (Re-ID) is an important problem in computer vision-based surveillance applications, in which one aims to identify a person across different surveillance ph…