12 citations · 28 across the 28 of their papers we have counts for
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cs.CV2018★ 12 cited
Geometry meets semantics for semi-supervised monocular depth estimation
Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi +2
Depth estimation from a single image represents a very exciting challenge in computer vision. While other image-based depth sensing techniques leverage on the geometry between diff…
cs.CV2018
Exploiting Semantics in Adversarial Training for Image-Level Domain Adaptation
Pierluigi Zama Ramirez, Alessio Tonioni, Luigi Di Stefano
Performance achievable by modern deep learning approaches are directly related to the amount of data used at training time. Unfortunately, the annotation process is notoriously ted…