Mustafa Chasmai

I am a Ph.D. student majoring in Computer Science from UMass Amherst, supervised by Prof. Subhransu Maji, and working broadly in Computer Vision. Prior to this, I completed my Bachelors degree in Computer Science from IIT Delhi.

Selected Publications

ICME

Joint First Author

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

Prashant Pandey*, Mustafa Chasmai*, Monish Natarajan, and Brejesh Lall

In 2023 IEEE International Conference on Multimedia and Expo (ICME) 2023

Bib HTML Code

@inproceedings{pandey2023weakly,
  preview = {miapnet.jpg},
  title = {Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning},
  author = {Pandey*, Prashant and Chasmai*, Mustafa and Natarajan, Monish and Lall, Brejesh},
  booktitle = {2023 IEEE International Conference on Multimedia and Expo (ICME)},
  pages = {1--6},
  year = {2023},
  organization = {IEEE},
  fau = {Joint First Author}
}

TMI

Joint First Author

Core A* Journal

Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs

Prashant Pandey*, Mustafa Chasmai*, Tanuj Sur, and Brejesh Lall

IEEE Transactions on Medical Imaging 2023

arXiv Bib HTML Code

@article{pandey2022robust,
  title = {Robust Prototypical Few-Shot Organ Segmentation with Regularized Neural-ODEs},
  author = {Pandey*, Prashant and Chasmai*, Mustafa and Sur, Tanuj and Lall, Brejesh},
  journal = {IEEE Transactions on Medical Imaging},
  year = {2023},
  preview = {RPNODE.jpg},
  fau = {Joint First Author},
  core = {Core A* Journal}
}

WACV

Core A Conference

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, and Chetan Arora

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

arXiv Bib Code Website

@inproceedings{baby2023from,
  title = {From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments},
  author = {Baby, Britty and Thapar, Daksh and Chasmai, Mustafa and Banerjee, Tamajit and Dargan, Kunal and Suri, Ashish and Banerjee, Subhashis and Arora, Chetan},
  booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  year = {2023},
  organization = {IEEE},
  preview = {S3Net.jpg},
  core = {Core A Conference}
}

MICCAI

Core A Conference

Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs

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

In International Conference on Medical Image Computing and Computer-Assisted Intervention 2022

arXiv Bib HTML Code Website

@inproceedings{pandey2022adversarially,
  title = {Adversarially Robust Prototypical Few-Shot Segmentation with Neural-ODEs},
  author = {Pandey*, Prashant and Vardhan*, Aleti and Chasmai*, Mustafa and Sur, Tanuj and Lall, Brejesh},
  booktitle = {International Conference on Medical Image Computing and Computer-Assisted Intervention},
  pages = {77--87},
  year = {2022},
  organization = {Springer},
  preview = {PNODE.jpg},
  core = {Core A Conference}
}

CoRL-W

First Author

Learning Generalizable Task Policies for Embodied Agents in Domains with Rich Inter-object Interactions

Mustafa Chasmai, Shreshth Tuli, Mausam, and Rohan Paul

In CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning 2022

Bib HTML

@inproceedings{chasmai2022learning,
  title = {Learning Generalizable Task Policies for Embodied Agents in Domains with Rich Inter-object Interactions},
  author = {Chasmai, Mustafa and Tuli, Shreshth and Mausam and Paul, Rohan},
  booktitle = {CoRL 2022 Workshop on Learning, Perception, and Abstraction for Long-Horizon Planning},
  year = {2022},
  preview = {tango.png},
  fau = {First Author}
}

SNCS

First Author

A View Independent Classification Framework for Yoga Postures

Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, and Rahul Garg

SN computer science 2022

arXiv Bib HTML Code

@article{chasmai2022view,
  title = {A View Independent Classification Framework for Yoga Postures},
  author = {Chasmai, Mustafa and Das, Nirjhar and Bhardwaj, Aman and Garg, Rahul},
  journal = {SN computer science},
  volume = {3},
  number = {6},
  pages = {1--15},
  year = {2022},
  publisher = {Springer},
  preview = {yoga.jpg},
  fau = {First Author}
}

ICIP

Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation

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

In 2022 IEEE International Conference on Image Processing (ICIP) 2022

Bib HTML Code Website

@inproceedings{baby2022representation,
  title = {Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation},
  author = {Baby, Britty and Chasmai, Mustafa and Banerjee, Tamajit and Suri, Ashish and Banerjee, Subhashis and Arora, Chetan},
  booktitle = {2022 IEEE International Conference on Image Processing (ICIP)},
  pages = {4048--4052},
  year = {2022},
  organization = {IEEE},
  preview = {NETS.jpg},
}

CIKM

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, and Hao Xu

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

arXiv Bib HTML Code

@inproceedings{lu2022pykale,
  title = {PyKale: Knowledge-Aware Machine Learning from Multiple Sources in Python},
  author = {Lu, Haiping and Liu, Xianyuan and Zhou, Shuo and Turner, Robert and Bai, Peizhen and Koot, Raivo E and Chasmai, Mustafa and Schobs, Lawrence and Xu, Hao},
  booktitle = {Proceedings of the 31st ACM International Conference on Information \& Knowledge Management},
  pages = {4274--4278},
  year = {2022},
  preview = {pykale.jpg},
}