Publications

2024

1. NeurIPS
   
   

   The iNaturalist Sounds Dataset

   Mustafa Chasmai, Alexander Shepard, Subhransu Maji, and Grant Van Horn

   In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track 2024

   Bib HTML Code

   @inproceedings{chasmai2024inaturalist,
     preview = {inatsounds.jpg},
     title = {The iNaturalist Sounds Dataset},
     author = {Chasmai, Mustafa and Shepard, Alexander and Maji, Subhransu and Van Horn, Grant},
     booktitle = {The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track},
     year = {2024},
   }

2023

1. ICME
   
   

   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}
   }

2. TMI
   
   

   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}
   }

3. WACV
   
   

   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}
   }

2022

1. MICCAI
   
   

   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}
   }

2. CoRL-W
   
   

   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}
   }

3. SNCS
   
   

   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}
   }

4. 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},
   }

5. 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},
   }