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11/07/2022
Okapi: Generalising Better by Making Statistical Matches Match
We propose Okapi, a simple, efficient, and general method for robust sem...
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08/03/2022
Free-HeadGAN: Neural Talking Head Synthesis with Explicit Gaze Control
We present Free-HeadGAN, a person-generic neural talking head synthesis ...
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08/03/2022
RealPatch: A Statistical Matching Framework for Model Patching with Real Samples
Machine learning classifiers are typically trained to minimise the avera...
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04/07/2022
DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image
We present DAD-3DHeads, a dense and diverse large-scale dataset, and a r...
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03/24/2022
Addressing Missing Sources with Adversarial Support-Matching
When trained on diverse labeled data, machine learning models have prove...
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05/08/2021
Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study
Multi-Task Learning has emerged as a methodology in which multiple tasks...
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03/30/2021
Head2HeadFS: Video-based Head Reenactment with Few-shot Learning
Over the past years, a substantial amount of work has been done on the p...
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12/15/2020
HeadGAN: Video-and-Audio-Driven Talking Head Synthesis
Recent attempts to solve the problem of talking head synthesis using a s...
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06/17/2020
Head2Head++: Deep Facial Attributes Re-Targeting
Facial video re-targeting is a challenging problem aiming to modify the ...
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04/14/2020
Contrastive Examples for Addressing the Tyranny of the Majority
Computer vision algorithms, e.g. for face recognition, favour groups of ...
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10/15/2019
Face Behavior à la carte: Expressions, Affect and Action Units in a Single Network
Automatic facial behavior analysis has a long history of studies in the ...
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05/28/2019
Video-to-Video Translation for Visual Speech Synthesis
Despite remarkable success in image-to-image translation that celebrates...
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10/15/2018
Neural Styling for Interpretable Fair Representations
We observe a rapid increase in machine learning models for learning data...
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12/03/2014
Curriculum Learning of Multiple Tasks
Sharing information between multiple tasks enables algorithms to achieve...
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10/01/2014
Learning to Transfer Privileged Information
We introduce a learning framework called learning using privileged infor...
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07/01/2014
Mind the Nuisance: Gaussian Process Classification using Privileged Noise
The learning with privileged information setting has recently attracted ...
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09/26/2013
