Sébastien Ehrhardt

Orcid: 0000-0002-6948-079X

According to our database1, Sébastien Ehrhardt authored at least 17 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
AutoNovel: Automatically Discovering and Learning Novel Visual Categories.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
LSD-C: Linearly Separable Deep Clusters.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Co-Attention for Conditioned Image Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Learning visual concepts with fewer human annotations.
PhD thesis, 2020

D2D: Learning to find good correspondences for image matching and manipulation.
CoRR, 2020

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Automatically Discovering and Learning New Visual Categories with Ranking Statistics.
Proceedings of the 8th International Conference on Learning Representations, 2020

Semi-Supervised Learning with Scarce Annotations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Taking visual motion prediction to new heightfields.
Comput. Vis. Image Underst., 2019

Unsupervised Intuitive Physics from Past Experiences.
CoRR, 2019

Deep Industrial Espionage.
CoRR, 2019

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Unsupervised Intuitive Physics from Visual Observations.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation.
CoRR, 2017

Learning A Physical Long-term Predictor.
CoRR, 2017

Stopping GAN Violence: Generative Unadversarial Networks.
CoRR, 2017


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