Samuel Albanie

Sort by:

Object detection and instance segmentation are dominated by region-based methods such as Mask RCNN. However, there is a growing interest in reducing these problems to pixel labeling tasks, as the… (More)

Learning Grimaces by Watching TV

Differently from computer vision systems which require explicit supervision, humans can learn facial expressions by observing people in their environment. In this paper, we look at how similar… (More)

Stopping GAN Violence: Generative Unadversarial Networks

Samuel Albanie, Sébastien Ehrhardt, João F. Henriques
ArXiv
2017

While the costs of human violence have attracted a great deal of attention from the research community, the effects of the network-on-network (NoN) violence popularised by Generative Adversarial… (More)

Learnable PINs: Cross-modal Embeddings for Person Identity

Arsha Nagrani, Samuel Albanie, Andrew Zisserman
ECCV
2018

We propose and investigate an identity sensitive joint embedding of face and voice. Such an embedding enables cross-modal retrieval from voice to face and from face to voice. We make the following… (More)

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild

Samuel Albanie, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman
ACM Multimedia
2018

Obtaining large, human labelled speech datasets to train models for emotion recognition is a notoriously challenging task, hindered by annotation cost and label ambiguity. In this work, we consider… (More)

Unknowable Manipulators: Social Network Curator Algorithms

Samuel Albanie, Hillary Shakespeare, Tom Gunter
ArXiv
2017

For a social networking service to acquire and retain users, it must find ways to keep them engaged. By accurately gauging their preferences, it is able to serve them with the subset of available… (More)

Sarcasm Detection on Twitter : bolstering lexical features with contextual clues

Samuel Albanie
2013

Substitute Teacher Networks: Learning with Almost No Supervision

Samuel Albanie, James Thewlis, João F. Henriques
ArXiv
2018

Learning through experience is time-consuming, inefficient and often bad for your cortisol levels. To address this problem, a number of recently proposed teacherstudent methods have demonstrated the… (More)

Filter Results:

Publication Year

Publication Type

Co-author

Journals and Conferences