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Keval Doshi
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Books and Theses
- 2022
- [b1]Keval Doshi:
Video Anomaly Detection: Practical Challenges for Learning Algorithms. University of South Florida, Tampa, USA, 2022
Journal Articles
- 2022
- [j4]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Real-Time Detection and Classification of Power Quality Disturbances. Sensors 22(20): 7958 (2022) - [j3]Mahsa Mozaffari, Keval Doshi, Yasin Yilmaz:
Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings. Sensors 22(21): 8264 (2022) - 2021
- [j2]Keval Doshi, Yasin Yilmaz:
Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate. Pattern Recognit. 114: 107865 (2021) - [j1]Keval Doshi, Yasin Yilmaz, Suleyman Uludag:
Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks. IEEE Trans. Dependable Secur. Comput. 18(5): 2164-2176 (2021)
Conference and Workshop Papers
- 2024
- [c19]Keval Doshi, Amanmeet Garg, Burak Uzkent, Xiaolong Wang, Mohamed Omar:
A Multimodal Benchmark and Improved Architecture for Zero Shot Learning. WACV 2024: 2010-2019 - [c18]Hamza Karim, Keval Doshi, Yasin Yilmaz:
Real-Time Weakly Supervised Video Anomaly Detection. WACV 2024: 6834-6842 - 2023
- [c17]Burak Uzkent, Amanmeet Garg, Wentao Zhu, Keval Doshi, Jingru Yi, Xiaolong Wang, Mohamed Omar:
Dynamic Inference with Grounding Based Vision and Language Models. CVPR 2023: 2624-2633 - [c16]Keval Doshi, Yasin Yilmaz:
Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CVPR Workshops 2023: 4859-4868 - [c15]Keval Doshi, Yasin Yilmaz:
Privacy-Preserving Video Understanding via Transformer-based Federated Learning. DSC 2023: 1-8 - [c14]Keval Doshi, Yasin Yilmaz:
Semantic Video Transformer for Robust Action Recognition. DSC 2023: 1-5 - [c13]Keval Doshi, Yasin Yilmaz:
Towards Interpretable Video Anomaly Detection. WACV 2023: 2654-2663 - 2022
- [c12]Furkan Mumcu, Keval Doshi, Yasin Yilmaz:
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CVPR Workshops 2022: 205-212 - [c11]Keval Doshi, Yasin Yilmaz:
Federated Learning-based Driver Activity Recognition for Edge Devices. CVPR Workshops 2022: 3337-3345 - [c10]Keval Doshi, Yasin Yilmaz:
Multi-Task Learning for Video Surveillance with Limited Data. CVPR Workshops 2022: 3888-3898 - [c9]Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection. IJCNN 2022: 1-8 - [c8]Keval Doshi, Yasin Yilmaz:
A Modular and Unified Framework for Detecting and Localizing Video Anomalies. WACV 2022: 3007-3016 - [c7]Keval Doshi, Yasin Yilmaz:
Rethinking Video Anomaly Detection - A Continual Learning Approach. WACV 2022: 3036-3045 - 2021
- [c6]Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. CVPR Workshops 2021: 4236-4244 - 2020
- [c5]Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. IEEE BigData 2020: 5540-5544 - [c4]Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. CVPR Workshops 2020: 1025-1034 - [c3]Keval Doshi, Yasin Yilmaz:
Fast Unsupervised Anomaly Detection in Traffic Videos. CVPR Workshops 2020: 2658-2664 - [c2]Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. CVPR Workshops 2020: 4037-4042 - 2019
- [c1]Keval Doshi, Mahsa Mozaffari, Yasin Yilmaz:
RAPID: Real-time Anomaly-based Preventive Intrusion Detection. WiseML@WiSec 2019: 49-54
Informal and Other Publications
- 2022
- [i11]Keval Doshi, Yasin Yilmaz:
Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding. CoRR abs/2203.05156 (2022) - [i10]Keval Doshi, Shatha Abudalou, Yasin Yilmaz:
TiSAT: Time Series Anomaly Transformer. CoRR abs/2203.05167 (2022) - [i9]Furkan Mumcu, Keval Doshi, Yasin Yilmaz:
Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems. CoRR abs/2204.03141 (2022) - 2021
- [i8]Keval Doshi, Yasin Yilmaz:
A Modular and Unified Framework for Detecting and Localizing Video Anomalies. CoRR abs/2103.11299 (2021) - [i7]Keval Doshi, Yasin Yilmaz:
An Efficient Approach for Anomaly Detection in Traffic Videos. CoRR abs/2104.09758 (2021) - 2020
- [i6]Keval Doshi, Yasin Yilmaz:
Any-Shot Sequential Anomaly Detection in Surveillance Videos. CoRR abs/2004.02072 (2020) - [i5]Keval Doshi, Yasin Yilmaz:
Continual Learning for Anomaly Detection in Surveillance Videos. CoRR abs/2004.07941 (2020) - [i4]Keval Doshi, Yasin Yilmaz, Suleyman Uludag:
Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks. CoRR abs/2006.08064 (2020) - [i3]Keval Doshi, Yasin Yilmaz:
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate. CoRR abs/2010.07110 (2020) - [i2]Keval Doshi, Yasin Yilmaz:
Road Damage Detection using Deep Ensemble Learning. CoRR abs/2011.00728 (2020) - 2019
- [i1]Keval Doshi:
Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks. CoRR abs/1907.13576 (2019)
Coauthor Index
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