Keval Doshi

Orcid: 0000-0002-2593-3320

According to our database1, Keval Doshi authored at least 27 papers between 2019 and 2024.

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Bibliography

2024
Real-Time Weakly Supervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Multimodal Benchmark and Improved Architecture for Zero Shot Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Towards Interpretable Video Anomaly Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Semantic Video Transformer for Robust Action Recognition.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Privacy-Preserving Video Understanding via Transformer-based Federated Learning.
Proceedings of the IEEE Conference on Dependable and Secure Computing, 2023

Dynamic Inference with Grounding Based Vision and Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Video Anomaly Detection: Practical Challenges for Learning Algorithms.
PhD thesis, 2022

Online Multivariate Anomaly Detection and Localization for High-Dimensional Settings.
Sensors, 2022

Real-Time Detection and Classification of Power Quality Disturbances.
Sensors, 2022

TiSAT: Time Series Anomaly Transformer.
CoRR, 2022

Rethinking Video Anomaly Detection - A Continual Learning Approach.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

A Modular and Unified Framework for Detecting and Localizing Video Anomalies.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Reward Once, Penalize Once: Rectifying Time Series Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Multi-Task Learning for Video Surveillance with Limited Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Federated Learning-based Driver Activity Recognition for Edge Devices.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Timely Detection and Mitigation of Stealthy DDoS Attacks Via IoT Networks.
IEEE Trans. Dependable Secur. Comput., 2021

Online anomaly detection in surveillance videos with asymptotic bound on false alarm rate.
Pattern Recognit., 2021

An Efficient Approach for Anomaly Detection in Traffic Videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate.
CoRR, 2020

Any-Shot Sequential Anomaly Detection in Surveillance Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Fast Unsupervised Anomaly Detection in Traffic Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Continual Learning for Anomaly Detection in Surveillance Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Road Damage Detection using Deep Ensemble Learning.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks.
CoRR, 2019

RAPID: Real-time Anomaly-based Preventive Intrusion Detection.
Proceedings of the ACM Workshop on Wireless Security and Machine Learning, 2019


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