Keval Doshi | DeepAI

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Featured Co-authors

Yasin Yilmaz
22 publications
Suleyman Uludag
1 publication
Furkan Mumcu
1 publication
Shatha Abudalou
1 publication

∙ 04/07/2022

Adversarial Machine Learning Attacks Against Video Anomaly Detection Systems

Anomaly detection in videos is an important computer vision problem with...

0 Furkan Mumcu, et al. ∙

∙ 03/10/2022

TiSAT: Time Series Anomaly Transformer

While anomaly detection in time series has been an active area of resear...

0 Keval Doshi, et al. ∙

∙ 03/10/2022

Zero-Shot Action Recognition with Transformer-based Video Semantic Embedding

While video action recognition has been an active area of research for s...

0 Keval Doshi, et al. ∙

∙ 04/20/2021

An Efficient Approach for Anomaly Detection in Traffic Videos

Due to its relevance in intelligent transportation systems, anomaly dete...

0 Keval Doshi, et al. ∙

∙ 03/21/2021

A Modular and Unified Framework for Detecting and Localizing Video Anomalies

Anomaly detection in videos has been attracting an increasing amount of ...

0 Keval Doshi, et al. ∙

∙ 10/30/2020

Road Damage Detection using Deep Ensemble Learning

Road damage detection is critical for the maintenance of a road, which t...

0 Keval Doshi, et al. ∙

∙ 10/10/2020

Online Anomaly Detection in Surveillance Videos with Asymptotic Bounds on False Alarm Rate

Anomaly detection in surveillance videos is attracting an increasing amo...

0 Keval Doshi, et al. ∙

∙ 06/15/2020

Timely Detection and Mitigation of Stealthy DDoS Attacks via IoT Networks

Internet of Things (IoT) networks consist of sensors, actuators, mobile ...

0 Keval Doshi, et al. ∙

∙ 04/15/2020

Continual Learning for Anomaly Detection in Surveillance Videos

Anomaly detection in surveillance videos has been recently gaining atten...

0 Keval Doshi, et al. ∙

∙ 04/05/2020

Any-Shot Sequential Anomaly Detection in Surveillance Videos

Anomaly detection in surveillance videos has been recently gaining atten...

0 Keval Doshi, et al. ∙

∙ 07/31/2019

Synthetic Image Augmentation for Improved Classification using Generative Adversarial Networks

Object detection and recognition has been an ongoing research topic for ...

0 Keval Doshi, et al. ∙

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