Convolutional neural networks with template-based data augmentation for functional lung image quantification
Rationale and Objectives We propose an automated segmentation pipeline based on deep
learning for proton lung MRI segmentation and ventilation-based quantification which …
learning for proton lung MRI segmentation and ventilation-based quantification which …
Btrfly net: Vertebrae labelling with energy-based adversarial learning of local spine prior
Robust localisation and identification of vertebrae is essential for automated spine analysis.
The contribution of this work to the task is two-fold:(1) Inspired by the human expert, we …
The contribution of this work to the task is two-fold:(1) Inspired by the human expert, we …
Improved deep neural network object tracking system for applications in home robotics
Robotic navigation in GPS-denied environments requires case specific approaches for
controlling a mobile robot to any desired destinations. In general, a nominal path is created …
controlling a mobile robot to any desired destinations. In general, a nominal path is created …
[HTML][HTML] A survey on deep learning in UAV imagery for precision agriculture and wild flora monitoring: Datasets, models and challenges
L Epifani, A Caruso - Smart Agricultural Technology, 2024 - Elsevier
Abstract Machine learning is the state of the art for many recurring tasks in several
heterogeneous domains. In the last decade, it has been also widely used in Precision …
heterogeneous domains. In the last decade, it has been also widely used in Precision …
Hindsight: enhancing spatial awareness by sonifying detected objects in real-time 360-degree video
Our perception of our surrounding environment is limited by the constraints of human
biology. The field of augmented perception asks how our sensory capabilities can be …
biology. The field of augmented perception asks how our sensory capabilities can be …
Highly efficient 8-bit low precision inference of convolutional neural networks with intelcaffe
J Gong, H Shen, G Zhang, X Liu, S Li, G **… - Proceedings of the 1st …, 2018 - dl.acm.org
High throughput and low latency inference of deep neural networks are critical for the
deployment of deep learning applications. This paper presents the efficient inference …
deployment of deep learning applications. This paper presents the efficient inference …
Fingerreader2. 0: Designing and evaluating a wearable finger-worn camera to assist people with visual impairments while shop**
People with Visual Impairments (PVI) experience greater difficulties with daily tasks, such as
supermarket shop**. Identifying and purchasing an item proves challenging for PVI. Using …
supermarket shop**. Identifying and purchasing an item proves challenging for PVI. Using …
Authentication for drone delivery through a novel way of using face biometrics
J Sharp, C Wu, Q Zeng - Proceedings of the 28th Annual International …, 2022 - dl.acm.org
Drone delivery, which makes use of unmanned aerial vehicles (UAVs) to deliver or pick up
packages, is an emerging service. To ensure that a package is picked up by a legitimate …
packages, is an emerging service. To ensure that a package is picked up by a legitimate …
Paracosm: A language and tool for testing autonomous driving systems
Systematic testing of autonomous vehicles operating in complex real-world scenarios is a
difficult and expensive problem. We present Paracosm, a reactive language for writing test …
difficult and expensive problem. We present Paracosm, a reactive language for writing test …
Dynamic mode decomposition and deep learning for postharvest decay prediction in apples
The damages and diseases that may occur in apples during the storage and cannot be seen
visually at early stages is a significant problem in precision agriculture leading to the loss of …
visually at early stages is a significant problem in precision agriculture leading to the loss of …