research
∙
08/30/2023
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
This paper presents a new dataset and general tracker enhancement method...
share
research
∙
05/03/2023
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
Classification of gigapixel Whole Slide Images (WSIs) is an important pr...
research
∙
02/28/2023
DFR-FastMOT: Detection Failure Resistant Tracker for Fast Multi-Object Tracking Based on Sensor Fusion
Persistent multi-object tracking (MOT) allows autonomous vehicles to nav...
research
∙
02/21/2023
Higher-order Sparse Convolutions in Graph Neural Networks
Graph Neural Networks (GNNs) have been applied to many problems in compu...
research
∙
09/02/2022
Person Monitoring by Full Body Tracking in Uniform Crowd Environment
Full body trackers are utilized for surveillance and security purposes, ...
research
∙
08/22/2022
Learning Branched Fusion and Orthogonal Projection for Face-Voice Association
Recent years have seen an increased interest in establishing association...
research
∙
07/13/2022
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Moving Object Detection (MOD) is a fundamental step for many computer vi...
research
∙
05/21/2022
Robot Person Following in Uniform Crowd Environment
Person-tracking robots have many applications, such as in security, elde...
research
∙
04/19/2022
Real-Time Face Recognition System
Over the past few decades, interest in algorithms for face recognition h...
research
∙
04/19/2022
Deep learning framework for robot for person detection and tracking
Robustly tracking a person of interest in the crowd with a robotic platf...
research
∙
04/08/2022
Underwater Image Enhancement Using Pre-trained Transformer
The goal of this work is to apply a denoising image transformer to remov...
research
∙
12/17/2021
Neuromorphic Camera Denoising using Graph Neural Network-driven Transformers
Neuromorphic vision is a bio-inspired technology that has triggered a pa...
research
∙
12/06/2021
Visual Object Tracking with Discriminative Filters and Siamese Networks: A Survey and Outlook
Accurate and robust visual object tracking is one of the most challengin...
research
∙
11/13/2018
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation
Conventional neural networks show a powerful framework for background su...
research
∙
11/05/2018
Unsupervised RGBD Video Object Segmentation Using GANs
Video object segmentation is a fundamental step in many advanced vision ...
research
∙
05/21/2018
Unsupervised Deep Context Prediction for Background Foreground Separation
In many advanced video based applications background modeling is a pre-p...
research
∙
01/29/2018
Comparative Study of ECO and CFNet Trackers in Noisy Environment
Object tracking is one of the most challenging task and has secured sign...
research
∙
11/26/2017
