3 citations · 6 across the 8 of their papers we have counts for
8 papers
A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation
Prashant Pandey, Mustafa Chasmai, Monish Natarajan +1
Increasing attention is being diverted to data-efficient problem settings like Open Vocabulary Semantic Segmentation (OVSS) which deals with segmenting an arbitrary object that may…
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…
CubeTR: Learning to Solve The Rubiks Cube Using Transformers
Mustafa Ebrahim Chasmai
Since its first appearance, transformers have been successfully used in wide ranging domains from computer vision to natural language processing. Application of transformers in Rei…
PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python
Haiping Lu, Xianyuan Liu, Robert Turner +5
Machine learning is a general-purpose technology holding promises for many interdisciplinary research problems. However, significant barriers exist in crossing disciplinary boundar…