Samet Akcay | DeepAI

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Yona Falinie A. Gaus
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∙ 02/16/2022

Anomalib: A Deep Learning Library for Anomaly Detection

This paper introduces anomalib, a novel library for unsupervised anomaly...

0 Samet Akcay, et al. ∙

∙ 01/07/2022

A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items

Screening cluttered and occluded contraband items from baggage X-ray sca...

6 Taimur Hassan, et al. ∙

∙ 08/22/2021

Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition

Automated systems designed for screening contraband items from the X-ray...

2 Taimur Hassan, et al. ∙

∙ 07/15/2021

Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition

Identifying potential threats concealed within the baggage is of prime c...

0 Taimur Hassan, et al. ∙

∙ 12/09/2020

Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation

Robust semantic scene segmentation for automotive applications is a chal...

0 Naif Alshammari, et al. ∙

∙ 12/09/2020

Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation

Automotive scene understanding under adverse weather conditions raises a...

0 Naif Alshammari, et al. ∙

∙ 09/28/2020

Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion

Detecting baggage threats is one of the most difficult tasks, even for e...

1 Taimur Hassan, et al. ∙

∙ 04/19/2020

Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation

Whilst face recognition applications are becoming increasingly prevalent...

10 Seyma Yucer, et al. ∙

∙ 04/14/2020

Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans

In the last two decades, baggage scanning has globally become one of the...

2 Taimur Hassan, et al. ∙

∙ 01/05/2020

Towards Automatic Threat Detection: A Survey of Advances of Deep Learning within X-ray Security Imaging

X-ray security screening is widely used to maintain aviation/transport s...

81 Samet Akcay, et al. ∙

∙ 12/11/2019

Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments

With the rapidly growing expansion in the use of UAVs, the ability to au...

25 Bruna G. Maciel-Pearson, et al. ∙

∙ 12/09/2019

Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs

Since the last two decades, luggage scanning has become one of the prime...

1 Taimur Hassan, et al. ∙

∙ 11/20/2019

Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery

X-ray imagery security screening is essential to maintaining transport s...

13 Yona Falinie A. Gaus, et al. ∙

∙ 11/19/2019

On the Impact of Object and Sub-component Level Segmentation Strategies for Supervised Anomaly Detection within X-ray Security Imagery

X-ray security screening is in widespread use to maintain transportation...

6 Neelanjan Bhowmik, et al. ∙

∙ 09/17/2019

Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation

Joint scene understanding and segmentation for automotive applications i...

12 Naif Alshammari, et al. ∙

∙ 07/18/2019

Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments

Increased growth in the global Unmanned Aerial Vehicles (UAV) (drone) in...

2 Bruna G. Maciel-Pearson, et al. ∙

∙ 04/10/2019

Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery

X-ray baggage security screening is widely used to maintain aviation and...

1 Yona Falinie A. Gaus, et al. ∙

∙ 01/25/2019

Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Despite inherent ill-definition, anomaly detection is a research endeavo...

0 Samet Akcay, et al. ∙

∙ 05/17/2018

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Anomaly detection is a classical problem in computer vision, namely the ...

0 Samet Akcay, et al. ∙

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