Search
Search Results
-
Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion
Aligning 2D ultrasound images with 3D CT scans of the liver holds significant clinical value in enhancing diagnostic precision, surgical planning,...
-
ViSA: Visual and Semantic Alignment for Robust Scene Text Recognition
Unsupervised domain adaptation is studied to meet the challenge of scene text recognition in diverse scenarios. Existing methods try to align source...
-
Deep learning algorithms for person re-identification: sate-of-the-art and research challenges
Person re-identification has received a lot of attention from the research community in recent times. Due to its vital role in security based...
-
Supervised Learning of Hierarchical Image Segmentation
We study the problem of predicting hierarchical image segmentations using supervised deep learning. While deep learning methods are now widely used...
-
Group Fairness in Case-Based Reasoning
There has been a significant recent interest in algorithmic fairness within data-driven systems. In this paper, we consider group fairness within...
-
Visible-Infrared Person Re-Identification Using Privileged Intermediate Information
Visible-infrared person re-identification (ReID) aims to recognize a same person of interest across a network of RGB and IR cameras. Some deep...
-
Adversarial Sample Generation Method Based on Global Convolution Noise Reduction Model
AbstractResidual network is a deep learning model widely used in various applications of computer vision, such as image processing, semantic...
-
From Business Process Textual Description to BPEL Models
Creating BPEL model based on a Textual Description (TD) is crucial to its consistent analysis particularly by making information accessible to...
-
A Longitudinal Driving Experience Study with a Novel and Retrofit Intelligent Speed Assistant System
Speeding is the primary cause of traffic accidents. To improve road safety, the European Union started implementing a new regulation mandating that...
-
Master of All: Simultaneous Generalization of Urban-Scene Segmentation to All Adverse Weather Conditions
Computer vision systems for autonomous navigation must generalize well in adverse weather and illumination conditions expected in the real world....
-
Progressive learning with multi-scale attention network for cross-domain vehicle re-identification
Vehicle re-identification (reID) aims to identify vehicles across different cameras that have non-overlap** views. Most existing vehicle reID...
-
Strategic Alignment of Knowledge Management Systems
Managing company knowledge and using it effectively is more than ever a strong competitive advantage in the business world. The scientific area of...
-
Video driven adaptive grasp planning of virtual hand using deep reinforcement learning
Data-driven grasp planning can generate anthropopathic grasps, providing controllers with robust and natural responses to environmental changes or...
-
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method
Joint 2D cardiac segmentation and 3D volume reconstruction are fundamental in building statistical cardiac anatomy models and understanding...
-
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network
Automatic and accurate segmentation of the ventricles and myocardium from multi-sequence cardiac MRI (CMR) is crucial for the diagnosis and treatment...
-
Meet JEANIE: A Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment
Video sequences exhibit significant nuisance variations (undesired effects) of speed of actions, temporal locations, and subjects’ poses, leading to...
-
Research on Side-Channel Attack Method Based on LSTM
Side channel attacks recover keys or other sensitive information by using the time, power consumption, electromagnetic radiation and fault output...
-
Unsupervised Domain Adaptive Point Cloud Semantic Segmentation
Domain adaptation for point cloud semantic segmentation is important since manually labeling point cloud datasets for each domain are expensive and...
-
Scale-Aware Domain Adaptive Faster R-CNN
Object detection typically assumes that training and test samples are drawn from an identical distribution, which, however, does not always hold in...
-
Vendor Selection and Partnership
Selecting the right vendor for your Microsoft Dynamics 365 Business Central implementation is a pivotal decision that can significantly impact the...