Towards learning food portion from monocular images with cross-domain feature adaptation
We aim to estimate food portion size, a property that is strongly related to the presence of
food object in 3D space, from single monocular images under real life setting. Specifically …
food object in 3D space, from single monocular images under real life setting. Specifically …
Learning nanoscale motion patterns of vesicles in living cells
Detecting and analyzing nanoscale motion patterns of vesicles, smaller than the microscope
resolution (250 nm), inside living biological cells is a challenging problem. State-of-the-art …
resolution (250 nm), inside living biological cells is a challenging problem. State-of-the-art …
Interactivity proposals for surveillance videos
This paper introduces spatio-temporal interactivity proposals for video surveillance. Rather
than focusing solely on actions performed by subjects, we explicitly include the objects that …
than focusing solely on actions performed by subjects, we explicitly include the objects that …
Simulation of near infrared sensor in unity for plant-weed segmentation classification
C Carlos, C Potena, D Nardi - 10th International Conference on …, 2020 - iris.uniroma1.it
Weed spotting through image classification is one of the methods applied in precision
agriculture to increase efficiency in crop damage reduction. These classifications are …
agriculture to increase efficiency in crop damage reduction. These classifications are …
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV
Unmanned Aerial Vehicle (UAV) has gained significant traction in the recent years,
particularly the context of surveillance. However, video datasets that capture violent and non …
particularly the context of surveillance. However, video datasets that capture violent and non …
Augmentation of sunflower-weed segmentation classification with Unity generated imagery including near infrared sensor data
C Carbone, C Potena, D Nardi - … 2020 Lieusaint-Paris, France, July 8-10 …, 2022 - Springer
This paper presents a solution to create synthetic datasets for deep learning training of
convolutional neural networks (CNNs) for plant-weed classification. We use the Unity game …
convolutional neural networks (CNNs) for plant-weed classification. We use the Unity game …