publications by categories in reversed chronological order.


  1. 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
  2. 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
  3. 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



    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
  2. 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
  3. SNCS

    First Author
    A View Independent Classification Framework for Yoga Postures
    Mustafa Chasmai, Nirjhar Das, Aman Bhardwaj, and Rahul Garg
    SN computer science 2022
  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
  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