Sébastien Ehrhardt

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 25

Top Topics

Supervised Learning

Past Experience

Automatically Discovering

Physically Plausible

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

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) (2022)
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
AutoNovel: Automatically Discovering and Learning Novel Visual Categories. CoRR (2021)
Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman
Co-Attention for Conditioned Image Matching. CVPR (2021)
Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
LSD-C: Linearly Separable Deep Clusters. ICCVW (2021)
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. ICLR (2020)
Sébastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS (2020)
Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
LSD-C: Linearly Separable Deep Clusters. CoRR (2020)
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 (2020)
Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman
D2D: Learning to find good correspondences for image matching and manipulation. CoRR (2020)
Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
Semi-Supervised Learning with Scarce Annotations. CVPR Workshops (2020)
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
Automatically Discovering and Learning New Visual Categories with Ranking Statistics. CoRR (2020)
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)
Sébastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR (2020)
Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques
Deep Industrial Espionage. CoRR (2019)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Taking visual motion prediction to new heightfields. Comput. Vis. Image Underst. 181 (2019)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Unsupervised Intuitive Physics from Past Experiences. CoRR (2019)
João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV (2019)
Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
Semi-Supervised Learning with Scarce Annotations. CoRR (2019)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Unsupervised Intuitive Physics from Visual Observations. ACCV (3) (2018)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Unsupervised Intuitive Physics from Visual Observations. CoRR (2018)
João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR (2018)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Learning A Physical Long-term Predictor. CoRR (2017)
Sébastien Ehrhardt, Aron Monszpart, Andrea Vedaldi, Niloy J. Mitra
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation. CoRR (2017)
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Taking Visual Motion Prediction To New Heightfields. CoRR (2017)
Samuel Albanie, Sébastien Ehrhardt, João F. Henriques
Stopping GAN Violence: Generative Unadversarial Networks. CoRR (2017)