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Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)
This paper proposes a Recurrent Affine Transform Encoder (RATE) that can be used for image representation learning. We propose a learning architecture that enables a CNN encoder to learn the affine transform parameter of images. The proposed learning architecture decomposes an affine transform matrix into two transform matrices and learns them...
journal article 2022
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Jiang, Y. (author), Dai, R. (author), Zeng, J. (author), Butler, R.M. (author), Vijfvinkel, T.S. (author), Wang, Y. (author), van den Dobbelsteen, J.J. (author), van der Elst, M. (author), Dauwels, J.H.G. (author)
Workflow analysis is a young research field that has been gaining traction in recent years. Work in this field aims to improve the efficiency and safety in operating rooms by analysing surgical processes and providing feedback or support, where observations are made and evaluated by algorithms rather than human experts. For our study, we mount...
conference paper 2022
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Lee, Kelvin (author), Jiang, Yu (author), Ceder, Avishai (Avi) (author), Dauwels, J.H.G. (author), Su, Rong (author), Nielsen, Otto Anker (author)
With the emergence of innovations associated with public transport (PT) services, such as Mobility-as-a-Service, demand responsive transit, and autonomous vehicles, the door-to-door PT journey is achievable via multiple transfers between and within different PT modes. As such, seamless transfers between different modes of public...
journal article 2022
document
Liu, Letao (author), Jiang, Xudong (author), Saerbeck, Martin (author), Dauwels, J.H.G. (author)
This article proposes a generative adversarial network called explicit affine disentangled generative adversarial network (EAD-GAN), which explicitly disentangles affine transform in a self-supervised manner. We propose an affine transform regularizer to force the InfoGAN to have explicit properties of affine transform. To facilitate training...
journal article 2022
document
Peled, Inon (author), Lee, Kelvin (author), Jiang, Yu (author), Dauwels, J.H.G. (author), Pereira, Francisco C. (author)
As Public Transport (PT) becomes more dynamic and demand-responsive, it increasingly depends on predictions of transport demand. But how accurate need such predictions be for effective PT operation? We address this question through an experimental case study of PT trips in Metropolitan Copenhagen, Denmark, which we conduct independently of any...
journal article 2021
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