research
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11/07/2021
Survey of Deep Learning Methods for Inverse Problems
In this paper we investigate a variety of deep learning strategies for s...
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06/13/2019
Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications
Observer effect in physics (/psychology) regards bias in measurement (/p...
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03/11/2019
Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering
Deep generative models are stochastic neural networks capable of learnin...
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11/11/2017
End-to-end 3D shape inverse rendering of different classes of objects from a single input image
In this paper a semi-supervised deep framework is proposed for the probl...
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08/25/2017