output
20152024
most citedFeature relevance quantification in explainable AI: A causal problem

156 citations

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Showing 2017 · cs.CVShow all

2 papers · 2 filters

cs.CV2017★ 9 cited

Joint Learning of Set Cardinality and State Distribution

S. Hamid Rezatofighi, Anton Milan, Qinfeng Shi +2

We present a novel approach for learning to predict sets using deep learning. In recent years, deep neural networks have shown remarkable results in computer vision, natural langua…

cs.CV2017★ 2 cited

3D Face Morphable Models "In-the-Wild"

James Booth, Epameinondas Antonakos, Stylianos Ploumpis +3

3D Morphable Models (3DMMs) are powerful statistical models of 3D facial shape and texture, and among the state-of-the-art methods for reconstructing facial shape from single image…