publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. tir.png
    Test-time Prompt Refinement for Text-to-Image Models
    Mohammed Abdul Hafeez Khan, Yash Jain, Siddhartha Bhattacharyya, and Vibhav Vineet
    In Workshop on Multimodal Reasoning and Slow Thinking in Large Model Era at ICCV, 2025
    PDF
  2. nora.png
    NORA: A Nephrology-Oriented Representation Learning Approach Towards Chronic Kidney Disease Classification
    Mohammed Abdul Hafeez Khan, Twisha Bhattacharyya, Omar Khan, Noorah Khan, Alina Khan, Mohammed Qutub Khan, and Sujoy Hajra
    In Under Submission at International Conference in Machine Learning and Applications (ICMLA), 2025
  3. adapt.png
    Adapt, But Don’t Forget: Modular Fine-Tuning and Contrastive Routing for Lane Detection Under Distribution Shift
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Sarah M. Lehman, Siddhartha Bhattacharyya, Amy Alvarez, and Natasha Neogi
    In Workshop on Out Of Label Hazard Detection in Autonomous Driving at ICCV, 2025
    PDF
  4. few_shot.jpg
    Few-Shot Classification and Anatomical Localization of Tissues in SPECT Imaging
    Mohammed Abdul Hafeez Khan, Samuel M. Boddepalli, Siddhartha Bhattacharyya, and Debasis Mitra
    In Medical Imaging Conference (MIC), 2025
    PDF
  5. lvad.png
    LVADNet3D: A Deep Autoencoder for Reconstructing 3D Intraventricular Flow from Sparse Hemodynamic Data
    Mohammed Abdul Hafeez Khan, Marcello Mattei, Ben Diaz, Ruth White, Siddhartha Bhattacharyya, and Venkat Keshav Chivukula
    In Under Submission at International Conference on Machine Learning and Applications (ICMLA), 2025
    PDF
  6. mtir.png
    Modular Test-time Input-Space Refinement for Few-Shot Segmentation
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Amy Alvarez, and Siddhartha Bhattacharyya
    In Under submission in Neural Information Processing Systems (NeurIPS), 2025
    PDF
  7. iot.png
    A Hybrid BiLSTM-CNN Approach for Intrusion Detection for IoT Applications
    Mohammed Abdul Hafeez Khan, Sapna Sadhwani, Raja Muthalagu, Pranav Pawar, and K. Suresh
    Scientific Reports, 2025
    PDF
  8. runway.png
    Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches
    Parth Ganeriwala, Amy Alvarez, Abdullah AlQahtani, Siddhartha Bhattacharyya, Mohammed Abdul Hafeez Khan, and Natasha Neogi
    In IEEE International Systems Conference (SysCon), 2025
    PDF

2024

  1. alina.png
    ALINA: Advanced Line Identification and Notation Algorithm
    Mohammed Abdul Hafeez Khan, Parth Ganeriwala, Siddhartha Bhattacharyya, Natasha Neogi, and Raja Muthalagu
    In Workshop on Vision Datasets Understanding at CVPR, 2024
    PDF

2023

  1. assist.png
    AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations
    Parth Ganeriwala, Siddhartha Bhattacharyya, S. Gunther, Brian Kish, Mohammed Abdul Hafeez Khan, Aknur Dhadoti, and Natasha Neogi
    In International Conference on Machine Learning and Applications (ICMLA), 2023
    PDF

2022

  1. micro.png
    Classification of Microstructure Images of Metals Using Transfer Learning
    Mohammed Abdul Hafeez Khan, Hrishikesh Sabnis, J. Angel Arul Jothi, J. Kanishkha, and A.D. Prasad
    In International Conference on Modelling and Development of Intelligent Systems (MDIS), 2022
    PDF
  2. dental.png
    Detection of Cavities from Oral Images using Convolutional Neural Networks
    Mohammed Abdul Hafeez Khan, Giri Prasad S., and J. Angel Arul Jothi
    In IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022
    Best Paper Award
    PDF
  3. myoware.png
    Detection of Bicep Form Using Myoware and Machine Learning
    Mohammed Abdul Hafeez Khan, Rohan V. Rudraraju, and R. Swarnalatha
    In International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS), 2022
    PDF