Sébastien Ehrhardt

26 papers A* 5Journal 17Unranked 3

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	AutoNovel: Automatically Discovering and Learning Novel Visual Categories. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
2021	J	`jnl`	AutoNovel: Automatically Discovering and Learning Novel Visual Categories. CoRR Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
2021	A*	`conf`	Co-Attention for Conditioned Image Matching. CVPR Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman
2021	—	`conf`	LSD-C: Linearly Separable Deep Clusters. ICCVW Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
2020	A*	`conf`	3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. NeurIPS Benjamin Biggs, David Novotný, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi
2020	J	`jnl`	3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. CoRR Benjamin Biggs, Sébastien Ehrhardt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotný
2020	A*	`conf`	Automatically Discovering and Learning New Visual Categories with Ranking Statistics. ICLR Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
2020	J	`jnl`	Automatically Discovering and Learning New Visual Categories with Ranking Statistics. CoRR Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
2020	J	`jnl`	D2D: Learning to find good correspondences for image matching and manipulation. CoRR Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman
2020	J	`jnl`	LSD-C: Linearly Separable Deep Clusters. CoRR Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
2020	—	`—`	Learning visual concepts with fewer human annotations. Sébastien Ehrhardt
2020	A*	`conf`	RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. NeurIPS Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
2020	J	`jnl`	RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. CoRR Sébastien Ehrhardt, Oliver Groth, Áron Monszpart, Martin Engelcke, Ingmar Posner, Niloy J. Mitra, Andrea Vedaldi
2020	—	`conf`	Semi-Supervised Learning with Scarce Annotations. CVPR Workshops Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
2019	J	`jnl`	Deep Industrial Espionage. CoRR Samuel Albanie, James Thewlis, Sébastien Ehrhardt, João F. Henriques
2019	J	`jnl`	Semi-Supervised Learning with Scarce Annotations. CoRR Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman
2019	A*	`conf`	Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. ICCV João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
2019	J	`jnl`	Taking visual motion prediction to new heightfields. Comput. Vis. Image Underst. Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi
2019	J	`jnl`	Unsupervised Intuitive Physics from Past Experiences. CoRR Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi
2018	J	`jnl`	Small steps and giant leaps: Minimal Newton solvers for Deep Learning. CoRR João F. Henriques, Sébastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
2018	—	`conf`	Unsupervised Intuitive Physics from Visual Observations. ACCV (3) Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi
2018	J	`jnl`	Unsupervised Intuitive Physics from Visual Observations. CoRR Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi
2017	J	`jnl`	Learning A Physical Long-term Predictor. CoRR Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi
2017	J	`jnl`	Learning to Represent Mechanics via Long-term Extrapolation and Interpolation. CoRR Sébastien Ehrhardt, Áron Monszpart, Andrea Vedaldi, Niloy J. Mitra
2017	J	`jnl`	Stopping GAN Violence: Generative Unadversarial Networks. CoRR Samuel Albanie, Sébastien Ehrhardt, João F. Henriques
2017	J	`jnl`	Taking Visual Motion Prediction To New Heightfields. CoRR Sébastien Ehrhardt, Áron Monszpart, Niloy J. Mitra, Andrea Vedaldi