Towards learning food portion from monocular images with cross-domain feature adaptation

Z Shao, S Fang, R Mao, J He, JL Wright… - 2021 IEEE 23rd …, 2021 - ieeexplore.ieee.org
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 …

Learning nanoscale motion patterns of vesicles in living cells

AA Sekh, IS Opstad, AB Birgisdottir… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

Interactivity proposals for surveillance videos

S Chen, P Mettes, T Hu, CGM Snoek - Proceedings of the 2020 …, 2020 - dl.acm.org
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 …

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 …

UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV

M Rahmun, T Deb, SA Bijoy, MH Raha - arXiv preprint arXiv:2208.06702, 2022 - arxiv.org
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 …

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 …