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ORCIDSébastien Ehrhardt
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2020 – today
- 2022
[j2]Kai Han
, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6767-6781 (2022)- 2021
- [c8]Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman:
Co-Attention for Conditioned Image Matching. CVPR 2021: 15920-15929 - [c7]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. ICCVW 2021: 1038-1046 - [i15]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. CoRR abs/2106.15252 (2021) - 2020
- [b1]Sébastien Ehrhardt:
Learning visual concepts with fewer human annotations. University of Oxford, UK, 2020 - [c6]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CVPR Workshops 2020: 3294-3302 - [c5]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. ICLR 2020 - [c4]Benjamin Biggs, David Novotný, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi:
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. NeurIPS 2020 - [c3]Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi:
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS 2020 - [i14]Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman:
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. CoRR abs/2002.05714 (2020) - [i13]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
LSD-C: Linearly Separable Deep Clusters. CoRR abs/2006.10039 (2020) - [i12]Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi:
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR abs/2007.01272 (2020) - [i11]Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman:
D2D: Learning to find good correspondences for image matching and manipulation. CoRR abs/2007.08480 (2020) - [i10]Benjamin Biggs, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotný:
3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. CoRR abs/2011.00980 (2020)
2010 – 2019
- 2019
- [j1]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Taking visual motion prediction to new heightfields. Comput. Vis. Image Underst. 181: 14-25 (2019) - [c2]João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV 2019: 4762-4771 - [i9]Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques:
Deep Industrial Espionage. CoRR abs/1904.01114 (2019) - [i8]Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman:
Semi-Supervised Learning with Scarce Annotations. CoRR abs/1905.08845 (2019) - [i7]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Unsupervised Intuitive Physics from Past Experiences. CoRR abs/1905.10793 (2019) - 2018
- [c1]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Unsupervised Intuitive Physics from Visual Observations. ACCV (3) 2018: 700-716 - [i6]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Unsupervised Intuitive Physics from Visual Observations. CoRR abs/1805.05086 (2018) - [i5]João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi:
Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR abs/1805.08095 (2018) - 2017
- [i4]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Learning A Physical Long-term Predictor. CoRR abs/1703.00247 (2017) - [i3]Samuel Albanie, Sébastien Ehrhardt, João F. Henriques:
Stopping GAN Violence: Generative Unadversarial Networks. CoRR abs/1703.02528 (2017) - [i2]Sébastien Ehrhardt, Áron Monszpart, Andrea Vedaldi, Niloy J. Mitra:
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation. CoRR abs/1706.02179 (2017) - [i1]Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi:
Taking Visual Motion Prediction To New Heightfields. CoRR abs/1712.09448 (2017)
Coauthor Index
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