publications

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

2024

  1. Real-time weakly supervised video anomaly detection
    H Karim, K Doshi, and Y Yilmaz
    Proceedings of the IEEE/CVF winter conference on applications of computer , 2024
  2. A multimodal benchmark and improved architecture for zero shot learning
    K Doshi, A Garg, B Uzkent, and 2 more authors
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer , 2024
  3. System and method for online multivariate anomaly detection and localization
    M Mozaffari, K Doshi, and Y Yilmaz
    US Patent 12,174,689 , 2024

2023

  1. Towards interpretable video anomaly detection
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF winter conference on applications of computer , 2023
  2. Zero-shot action recognition with transformer-based video semantic embedding
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF conference on computer vision and pattern , 2023
  3. Self-supervised learning for online anomaly detection in high-dimensional data streams
    M Mozaffari, K Doshi, and Y Yilmaz
    Electronics 12 (9), 1971 , 2023
  4. Privacy-preserving video understanding via transformer-based federated learning
    K Doshi and Y Yilmaz
    2023 IEEE Conference on Dependable and Secure Computing (DSC), 1-8 , 2023
  5. Dynamic inference with grounding based vision and language models
    B Uzkent, A Garg, W Zhu, and 4 more authors
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern , 2023
  6. Semantic video Transformer for robust action recognition
    K Doshi and Y Yilmaz
    2023 IEEE Conference on Dependable and Secure Computing (DSC), 1-5 , 2023

2022

  1. Rethinking video anomaly detection-a continual learning approach
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF winter conference on applications of computer , 2022
  2. Reward once, penalize once: Rectifying time series anomaly detection
    K Doshi, S Abudalou, and Y Yilmaz
    2022 International Joint Conference on Neural Networks (IJCNN), 1-8 , 2022
  3. Federated learning-based driver activity recognition for edge devices
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF conference on computer vision and pattern , 2022
  4. Real-time detection and classification of power quality disturbances
    M Mozaffari, K Doshi, and Y Yilmaz
    Sensors 22 (20), 7958 , 2022
  5. A modular and unified framework for detecting and localizing video anomalies
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer , 2022
  6. Multi-task learning for video surveillance with limited data
    K Doshi and Y Yilmaz
    Proceedings of the IEEE/CVF conference on computer vision and pattern , 2022
  7. Online multivariate anomaly detection and localization for high-dimensional settings
    M Mozaffari, K Doshi, and Y Yilmaz
    Sensors 22 (21), 8264 , 2022
  8. Adversarial machine learning attacks against video anomaly detection systems
    F Mumcu, K Doshi, and Y Yilmaz
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern , 2022
  9. Multiscale multimodal transformer for multimodal action recognition
    W Zhu, K Doshi, J Yi, and 7 more authors
    2022
  10. Video anomaly detection: practical challenges for learning algorithms
    K Doshi
    University of South Florida , 2022
  11. End-to-end semantic video transformer for zero-shot action recognition
    K Doshi and Y Yilmaz
    arXiv preprint arXiv:2203.05156 , 2022