5 citations · 7 across the 3 of their papers we have counts for
4 papers · 1 filter
Blind Inpainting of Large-scale Masks of Thin Structures with Adversarial and Reinforcement Learning
Hao Chen, Mario Valerio Giuffrida, Peter Doerner +1
Several imaging applications (vessels, retina, plant roots, road networks from satellites) require the accurate segmentation of thin structures for subsequent analysis. Discontinui…
Leveraging multiple datasets for deep leaf counting
Andrei Dobrescu, Mario Valerio Giuffrida, Sotirios A Tsaftaris
The number of leaves a plant has is one of the key traits (phenotypes) describing its development and growth. Here, we propose an automated, deep learning based approach for counti…
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
Mario Valerio Giuffrida, Hanno Scharr, Sotirios A Tsaftaris
In recent years, there has been an increasing interest in image-based plant phenotyping, applying state-of-the-art machine learning approaches to tackle challenging problems, such…
Theta-RBM: Unfactored Gated Restricted Boltzmann Machine for Rotation-Invariant Representations
Mario Valerio Giuffrida, Sotirios A. Tsaftaris
Learning invariant representations is a critical task in computer vision. In this paper, we propose the Theta-Restricted Boltzmann Machine (θ-RBM in short), which builds upon the o…