Amir Atapour Abarghouei

Orcid: 0000-0002-4242-4579

According to our database1, Amir Atapour Abarghouei authored at least 45 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Disentangling Racial Phenotypes: Fine-Grained Control of Race-related Facial Phenotype Characteristics.
CoRR, 2024

HINT: High-quality INPainting Transformer with Mask-Aware Encoding and Enhanced Attention.
CoRR, 2024

2023
INCLG: Inpainting for non-cleft lip generation with a multi-task image processing network.
Softw. Impacts, September, 2023

Predicting the Performance of a Computing System with Deep Networks.
Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering, 2023

Region-based Appearance and Flow Characteristics for Anomaly Detection in Infrared Surveillance Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

FEGR: Feature Enhanced Graph Representation Method for Graph Classification.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022
Long-term Reproducibility for Neural Architecture Search.
CoRR, 2022

Detecting Melanoma Fairly: Skin Tone Detection and Debiasing for Skin Lesion Classification.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Skin Deep Unlearning: Artefact and Instrument Debiasing in the Context of Melanoma Classification.
Proceedings of the International Conference on Machine Learning, 2022

Siamese Neural Networks for Skin Cancer Classification and New Class Detection using Clinical and Dermoscopic Image Datasets.
Proceedings of the IEEE International Conference on Big Data, 2022

A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
"Just Drive": Colour Bias Mitigation for Semantic Segmentation in the Context of Urban Driving.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Transforming Fake News: Robust Generalisable News Classification Using Transformers.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Rank over Class: The Untapped Potential of Ranking in Natural Language Processing.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Leveraging Synthetic Subject Invariant EEG Signals for Zero Calibration BCI.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Not Half Bad: Exploring Half-Precision in Graph Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Resolving the cybersecurity Data Sharing Paradox to scale up cybersecurity via a co-production approach towards data sharing.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Immaculate depth perception: recovering 3D scene information via depth completion and prediction.
PhD thesis, 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

A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation.
CoRR, 2019

Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification.
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

Monocular Segment-Wise Depth: Monocular Depth Estimation Based on a Semantic Segmentation Prior.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Style Augmentation: Data Augmentation via Style Randomization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Volenti non fit injuria: Ransomware and its Victims.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

A King's Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

To Complete or to Estimate, That is the Question: A Multi-Task Approach to Depth Completion and Monocular Depth Estimation.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360° Panoramic Imagery.
CoRR, 2018

A comparative review of plausible hole filling strategies in the context of scene depth image completion.
Comput. Graph., 2018

Extended Patch Prioritization for Depth Filling Within Constrained Exemplar-Based RGB-D Image Completion.
Proceedings of the Image Analysis and Recognition - 15th International Conference, 2018

Eliminating the Blind Spot: Adapting 3D Object Detection and Monocular Depth Estimation to 360 ^\circ ∘ Panoramic Imagery.
Proceedings of the Computer Vision - ECCV 2018, 2018

Real-Time Monocular Depth Estimation Using Synthetic Data With Domain Adaptation via Image Style Transfer.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

GANomaly: Semi-supervised Anomaly Detection via Adversarial Training.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Inspiring Computer Vision System Solutions.
CoRR, 2017

DepthComp: Real-time Depth Image Completion Based on Prior Semantic Scene Segmentation.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Back to Butterworth - a Fourier basis for 3D surface relief hole filling within RGB-D imagery.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2010
A Robust Fuzzy and Cellular Learning Automata Edge Detection and Enhancement Method.
Proceedings of the 2010 International Conference on Image Processing, 2010

A Modified PSO Method Enhanced with Fuzzy Inference System for Solving the Planar Graph Coloring Problem.
Proceedings of the 2010 International Conference on Artificial Intelligence, 2010

2009
A Survey of Pattern Recognition Applications in Cancer Diagnosis.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009


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