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10/05/2022
Variational prompt tuning improves generalization of vision-language models
Prompt tuning provides an efficient mechanism to adapt large vision-lang...
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09/29/2022
REST: REtrieve Self-Train for generative action recognition
This work is on training a generative action/video recognition model who...
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05/31/2022
From Keypoints to Object Landmarks via Self-Training Correspondence: A novel approach to Unsupervised Landmark Discovery
This paper proposes a novel paradigm for the unsupervised learning of ob...
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11/03/2021
Subpixel Heatmap Regression for Facial Landmark Localization
Deep Learning models based on heatmap regression have revolutionized the...
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03/30/2021
Pre-training strategies and datasets for facial representation learning
What is the best way to learn a universal face representation? Recent wo...
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03/24/2021
Affective Processes: stochastic modelling of temporal context for emotion and facial expression recognition
Temporal context is key to the recognition of expressions of emotion. Ex...
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11/03/2020
Semi-supervised Facial Action Unit Intensity Estimation with Contrastive Learning
This paper tackles the challenging problem of estimating the intensity o...
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04/14/2020
A recurrent cycle consistency loss for progressive face-to-face synthesis
This paper addresses a major flaw of the cycle consistency loss when use...
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04/14/2020
A Transfer Learning approach to Heatmap Regression for Action Unit intensity estimation
Action Units (AUs) are geometrically-based atomic facial muscle movement...
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10/21/2019
Object landmark discovery through unsupervised adaptation
This paper proposes a method to ease the unsupervised learning of object...
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11/08/2018
Triple consistency loss for pairing distributions in GAN-based face synthesis
Generative Adversarial Networks have shown impressive results for the ta...
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05/09/2018
