Antonin Sulc

According to our database1, Antonin Sulc authored at least 15 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
PACuna: Automated Fine-Tuning of Language Models for Particle Accelerators.
CoRR, 2023

Textual Analysis of ICALEPCS and IPAC Conference Proceedings: Revealing Research Trends, Topics, and Collaborations for Future Insights and Advanced Search.
CoRR, 2023

Log Anomaly Detection on EuXFEL Nodes.
CoRR, 2023

2021
Towards Monocular Shape from Refraction.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Light Field Analysis for Non-Lambertian Scenes.
PhD thesis, 2020

2019
Depth from Spectral Defocus Blur.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

An Epipolar Volume Autoencoder With Adversarial Loss for Deep Light Field Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017
Inverse Lightfield Rendering for Shape, Reflection and Natural Illumination.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017


2016
Reflection Separation in Light Fields based on Sparse Coding and Specular Flow.
Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016

Occlusion-Aware Depth Estimation Using Sparse Light Field Coding.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

What Sparse Light Field Coding Reveals about Scene Structure.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Layered Scene Reconstruction from Multiple Light Field Camera Views.
Proceedings of the Computer Vision - ACCV 2016, 2016

2015
Variational Separation of Light Field Layers.
Proceedings of the 20th International Symposium on Vision, Modeling, and Visualization, 2015

On Linear Structure from Motion for Light Field Cameras.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


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