Towards real-time systems for vehicle re-identification, multi-camera tracking, and anomaly detection
N Peri, P Khorramshahi… - Proceedings of the …, 2020 - openaccess.thecvf.com
Vehicle re-identification, multi-camera vehicle tracking, and anomaly detection are essential
for city-scale intelligent transportation systems. Both vehicle re-id and multi-camera tracking …
for city-scale intelligent transportation systems. Both vehicle re-id and multi-camera tracking …
Accurate object detection system on hololens using yolo algorithm
We demonstrate in our paper, an implementation on Microsoft HoloLens, deep learning
supported in the context of object detection. The main aim of this system is to create the …
supported in the context of object detection. The main aim of this system is to create the …
Collabar: Edge-assisted collaborative image recognition for mobile augmented reality
Mobile Augmented Reality (AR), which overlays digital content on the real-world scenes
surrounding a user, is bringing immersive interactive experiences where the real and virtual …
surrounding a user, is bringing immersive interactive experiences where the real and virtual …
An improved capsule network for glioma segmentation on MRI images: A curriculum learning approach
Glioma segmentation is an essential step in tumor identification and treatment planning.
Glioma segmentation is a challenging task because it appears with blurred and irregular …
Glioma segmentation is a challenging task because it appears with blurred and irregular …
PrObeD: proactive object detection wrapper
Previous research in $2 D $ object detection focuses on various tasks, including detecting
objects in generic and camouflaged images. These works are regarded as passive works for …
objects in generic and camouflaged images. These works are regarded as passive works for …
Spatiotemporal analysis of speckle dynamics to track invisible needle in ultrasound sequences using convolutional neural networks: a phantom study
Purpose Accurate needle placement into the target point is critical for ultrasound
interventions like biopsies and epidural injections. However, aligning the needle to the thin …
interventions like biopsies and epidural injections. However, aligning the needle to the thin …
Edge-assisted collaborative image recognition for mobile augmented reality
Mobile Augmented Reality (AR), which overlays digital content on the real-world scenes
surrounding a user, is bringing immersive interactive experiences where the real and virtual …
surrounding a user, is bringing immersive interactive experiences where the real and virtual …
Occluded target recognition in SAR imagery with scattering excitation learning and channel dropout
Deep neural networks (DNNs) are widely used in synthetic aperture radar (SAR) image
classification and recognition, achieving state-of-the-art performance. But it remains a …
classification and recognition, achieving state-of-the-art performance. But it remains a …
A novel filtering method for geodetically determined ocean surface currents using deep learning
L Gibbs, RJ Bingham, A Paiement - Environmental Data Science, 2023 - cambridge.org
Determining an accurate picture of ocean currents is an important societal challenge for
oceanographers, aiding our understanding of the vital role currents play in regulating Earth's …
oceanographers, aiding our understanding of the vital role currents play in regulating Earth's …
Lightweight Delivery Detection on Doorbell Cameras
Despite recent advances in video-based action recognition and robust spatio-temporal
modeling, most of the proposed approaches rely on the abundance of computational …
modeling, most of the proposed approaches rely on the abundance of computational …