Mustafa Chasmai

According to our database, Mustafa Chasmai authored at least 10 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Robust Prototypical Few-Shot Organ Segmentation With Regularized Neural-ODEs.

Prashant Pandey, Mustafa Chasmai, Tanuj Sur, Brejesh Lall

IEEE Trans. Medical Imaging, September, 2023

A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation.

Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh Lall

CoRR, 2023

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments.

Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning.

Prashant Pandey, Mustafa Chasmai, Monish Natarajan, Brejesh Lall

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

2022

A View Independent Classification Framework for Yoga Postures.

Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, Rahul Garg

SN Comput. Sci., 2022

Person Re-Identification.

Mustafa Ebrahim Chasmai, Tamajit Banerjee

CoRR, 2022

Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs.

Prashant Pandey, Aleti Vardhan, Mustafa Chasmai, Tanuj Sur, Brejesh Lall

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation.

Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Ashish Suri, Subhashis Banerjee, Chetan Arora

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Shuo Zhou, Robert Turner, Peizhen Bai, Raivo E. Koot, Mustafa Chasmai, Lawrence Schobs, Hao Xu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python.

Haiping Lu, Xianyuan Liu, Robert Turner, Peizhen Bai, Raivo E. Koot, Shuo Zhou, Mustafa Chasmai, Lawrence Schobs

CoRR, 2021