Samet Akcay
Orcid: 0000-0003-3334-7118
According to our database1,
Samet Akcay
authored at least 36 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance.
CoRR, 2024
Divide and Conquer: High-Resolution Industrial Anomaly Detection via Memory Efficient Tiled Ensemble.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
2023
Neural Comput. Appl., May, 2023
J. Ambient Intell. Humaniz. Comput., March, 2023
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2023
2022
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging.
Pattern Recognit., 2022
Tensor pooling-driven instance segmentation framework for baggage threat recognition.
Neural Comput. Appl., 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
Multi-Modal Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Competitive Simplicity for Multi-Task Learning for Real-Time Foggy Scene Understanding via Domain Adaptation.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Towards real-time anomaly detection within X-ray security imagery: self-supervised adversarial training approach.
PhD thesis, 2020
Meta-Transfer Learning Driven Tensor-Shot Detector for the Autonomous Localization and Recognition of Concealed Baggage Threats.
Sensors, 2020
Multi-Model Learning for Real-Time Automotive Semantic Foggy Scene Understanding via Domain Adaptation.
CoRR, 2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion.
CoRR, 2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans.
CoRR, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Multi-Task Regression-based Learning for Autonomous Unmanned Aerial Vehicle Flight Control within Unstructured Outdoor Environments [dataset].
Dataset, July, 2019
Multi-Task Regression-Based Learning for Autonomous Unmanned Aerial Vehicle Flight Control Within Unstructured Outdoor Environments.
IEEE Robotics Autom. Lett., 2019
Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer.
Pattern Recognit., 2019
Online Deep Reinforcement Learning for Autonomous UAV Navigation and Exploration of Outdoor Environments.
CoRR, 2019
Deep CMST Framework for the Autonomous Recognition of Heavily Occluded and Cluttered Baggage Items from Multivendor Security Radiographs.
CoRR, 2019
Multi-Task Learning for Automotive Foggy Scene Understanding via Domain Adaptation to an Illumination-Invariant Representation.
CoRR, 2019
Evaluation of a Dual Convolutional Neural Network Architecture for Object-wise Anomaly Detection in Cluttered X-ray Security Imagery.
Proceedings of the International Joint Conference on Neural Networks, 2019
Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019
Evaluating the Transferability and Adversarial Discrimination of Convolutional Neural Networks for Threat Object Detection and Classification within X-Ray Security Imagery.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
On the Impact of Object and Sub-Component Level Segmentation Strategies for Supervised Anomaly Detection within X-Ray Security Imagery.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
2018
Using Deep Convolutional Neural Network Architectures for Object Classification and Detection Within X-Ray Baggage Security Imagery.
IEEE Trans. Inf. Forensics Secur., 2018
On the Impact of Illumination-Invariant Image Pre-transformation for Contemporary Automotive Semantic Scene Understanding.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018
On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018
Proceedings of the Computer Vision - ACCV 2018, 2018
2017
An evaluation of region based object detection strategies within X-ray baggage security imagery.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
On using feature descriptors as visual words for object detection within X-ray baggage security screening.
Proceedings of the 7th International Conference on Imaging for Crime Detection and Prevention, 2016