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Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
Inferring 3D structure of a generic object from a 2D image is a long-sta...
04/02/2021 ∙ by Feng Liu, et al. ∙
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On Learning Disentangled Representations for Gait Recognition
Gait, the walking pattern of individuals, is one of the important biomet...
09/05/2019 ∙ by Ziyuan Zhang, et al. ∙
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Towards High-fidelity Nonlinear 3D Face Morphable Model
Embedding 3D morphable basis functions into deep neural networks opens g...
04/09/2019 ∙ by Luan Tran, et al. ∙
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Gait Recognition via Disentangled Representation Learning
Gait, the walking pattern of individuals, is one of the most important b...
04/09/2019 ∙ by Ziyuan Zhang, et al. ∙
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On Learning 3D Face Morphable Model from In-the-wild Images
As a classic statistical model of 3D facial shape and albedo, 3D Morphab...
08/28/2018 ∙ by Luan Tran, et al. ∙
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Towards Interpretable Face Recognition
Deep CNNs have been pushing the frontier of visual recognition over past...
05/02/2018 ∙ by Bangjie Yin, et al. ∙
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Nonlinear 3D Face Morphable Model
As a classic statistical model of 3D facial shape and texture, 3D Morpha...
04/11/2018 ∙ by Luan Tran, et al. ∙
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Joint Pixel and Feature-level Domain Adaptation in the Wild
Recent developments in deep domain adaptation have allowed knowledge tra...
02/28/2018 ∙ by Luan Tran, et al. ∙
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Representation Learning by Rotating Your Faces
The large pose discrepancy between two face images is one of the fundame...
05/31/2017 ∙ by Luan Tran, et al. ∙
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