Publications

2025

  1. Hierarchical and multimodal data for daily activity understanding
    Ghazal Kaviani, Yavuz Yarici, Seulgi Kim, Mohit Prabhushankar, Ghassan AlRegib, Mashhour Solh, and Ameya Patil
    arXiv preprint arXiv:2504.17696, 2025
    PDF Code Website
  2. Subject Invariant Contrastive Learning for Human Activity Recognition
    Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, and Ghassan AlRegib
    In 2025 IEEE 35th International Workshop on Machine Learning for Signal Processing (MLSP), 2025
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2024

  1. CRACKS: Crowdsourcing Resources for Analysis and Categorization of Key Subsurface faults
    Mohit Prabhushankar, Kiran Kokilepersaud, Jorge Quesada, Yavuz Yarici, Chen Zhou, Mohammad Alotaibi, Ghassan AlRegib, Ahmad Mustafa, and Yusufjon Kumakov
    2024
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  2. Explaining Representation Learning with Perceptual Components
    Yavuz Yarici, Kiran Kokilepersaud, Mohit Prabhushankar, and AlRegib Ghassan
    In IEEE International Conference on Image Processing (ICIP), 2024
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  3. Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
    Kiran Kokilepersaud, Yavuz Yarici, Mohit Prabhushankar, Ghassan AlRegib, Enrique Corona, Kunjan Singh, and Armin Parchami
    In IEEE International Conference on Image Processing, 2024
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2023

  1. Exploiting the Distortion-Semantic Interaction in Fisheye Data
    Kiran Kokilepersaud, Mohit Prabhushankar, Yavuz Yarici, Ghassan AlRegib, and Armin Parchami
    IEEE Open Journal of Signal Processing, 2023
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