Stopping GAN Violence: Generative Unadversarial Networks. - Samuel Albanie; Sébastien Ehrhardt; João F. Henriques (CoRR, 2017)

Learning A Physical Long-term Predictor. - Sébastien Ehrhardt; Áron Monszpart; Niloy J. Mitra; Andrea Vedaldi (CoRR, 2017)

Learning to Represent Mechanics via Long-term Extrapolation and Interpolation. - Sébastien Ehrhardt; Áron Monszpart; Andrea Vedaldi; Niloy J. Mitra (CoRR, 2017)

Unsupervised Intuitive Physics from Visual Observations. - Sébastien Ehrhardt; Áron Monszpart; Niloy J. Mitra; Andrea Vedaldi (ACCV (3), 2018)

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning. - João F. Henriques; Sébastien Ehrhardt; Samuel Albanie; Andrea Vedaldi (ICCV, 2019)

Deep Industrial Espionage. - Samuel Albanie; James Thewlis; Sébastien Ehrhardt; João F. Henriques (CoRR, 2019)

Unsupervised Intuitive Physics from Past Experiences. - Sébastien Ehrhardt; Áron Monszpart; Niloy J. Mitra; Andrea Vedaldi (CoRR, 2019)

Taking visual motion prediction to new heightfields. - Sébastien Ehrhardt; Áron Monszpart; Niloy J. Mitra; Andrea Vedaldi (Comput. Vis. Image Underst., 2019)

Semi-Supervised Learning with Scarce Annotations. - Sylvestre-Alvise Rebuffi; Sébastien Ehrhardt; Kai Han 001; Andrea Vedaldi; Andrew Zisserman (CVPR Workshops, 2020)

Automatically Discovering and Learning New Visual Categories with Ranking Statistics. - Kai Han 001; Sylvestre-Alvise Rebuffi; Sébastien Ehrhardt; Andrea Vedaldi; Andrew Zisserman (ICLR, 2020)

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data. - Benjamin Biggs; David Novotný; Sébastien Ehrhardt; Hanbyul Joo; Benjamin Graham; Andrea Vedaldi (NeurIPS, 2020)

RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces. - Sébastien Ehrhardt; Oliver Groth; Áron Monszpart; Martin Engelcke; Ingmar Posner; Niloy J. Mitra; Andrea Vedaldi (NeurIPS, 2020)

D2D: Learning to find good correspondences for image matching and manipulation. - Olivia Wiles; Sébastien Ehrhardt; Andrew Zisserman (CoRR, 2020)

Learning visual concepts with fewer human annotations. - Sébastien Ehrhardt (2020)

Co-Attention for Conditioned Image Matching. - Olivia Wiles; Sébastien Ehrhardt; Andrew Zisserman (CVPR, 2021)

LSD-C: Linearly Separable Deep Clusters. - Sylvestre-Alvise Rebuffi; Sébastien Ehrhardt; Kai Han 001; Andrea Vedaldi; Andrew Zisserman (ICCVW, 2021)

AutoNovel: Automatically Discovering and Learning Novel Visual Categories. - Kai Han 001; Sylvestre-Alvise Rebuffi; Sébastien Ehrhardt; Andrea Vedaldi; Andrew Zisserman (IEEE Trans. Pattern Anal. Mach. Intell., 2022)