Axel Davy

Orcid: 0000-0002-2143-1542

According to our database1, Axel Davy authored at least 25 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On the Importance of Large Objects in CNN Based Object Detection Algorithms.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Fixed Pattern Noise Removal For Multi-View Single-Sensor Infrared Camera.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Self-Supervised Push-Frame Super-Resolution With Detail-Preserving Control And Outlier Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Fast, Nonlocal and Neural: A Lightweight High Quality Solution to Image Denoising.
IEEE Signal Process. Lett., 2021

GPU acceleration of NL-means, BM3D and VBM3D.
J. Real Time Image Process., 2021

Video Denoising by Combining Patch Search and CNNs.
J. Math. Imaging Vis., 2021

Self-supervised training for blind multi-frame video denoising.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

PROBA-V-REF: Repurposing the PROBA-V Challenge for Reference-Aware Super Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019
Image Anomalies: A Review and Synthesis of Detection Methods.
J. Math. Imaging Vis., 2019

How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise.
Image Process. Line, 2019

Optimization of Image B-spline Interpolation for GPU Architectures.
Image Process. Line, 2019

Joint demosaicing and denoising by overfitting of bursts of raw images.
CoRR, 2019

A Novel Activity Detector Applied to Sentinel-1 for Surveillance.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

A Non-Local CNN for Video Denoising.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Detection of Small Anomalies on Moving Background.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Model-Blind Video Denoising via Frame-To-Frame Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Non-Local Video Denoising by CNN.
CoRR, 2018

Reducing Anomaly Detection in Images to Detection in Noise.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
Brain tumor segmentation with Deep Neural Networks.
Medical Image Anal., 2017

A survey of exemplar-based texture synthesis.
CoRR, 2017


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