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06/06/2023
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification
Following the popularity of Unsupervised Domain Adaptation (UDA) in pers...
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04/09/2023
Towards Understanding the Benefits and Challenges of Demand Responsive Public Transit- A Case Study in the City of Charlotte, NC
Access to adequate public transportation plays a critical role in inequi...
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03/27/2023
A Novel Neural Network Approach for Predicting the Arrival Time of Buses for Smart On-Demand Public Transit
Among the major public transportation systems in cities, bus transit has...
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03/22/2023
Real-World Community-in-the-Loop Smart Video Surveillance – A Case Study at a Community College
Smart Video surveillance systems have become important recently for ensu...
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03/10/2023
A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture
Vehicle Trajectory datasets that provide multiple point-of-views (POVs) ...
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03/09/2023
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection
Pose-based anomaly detection is a video-analysis technique for detecting...
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02/08/2023
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety
Recent advancements in artificial intelligence (AI) have seen the emerge...
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01/09/2023
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things
With the advancement of vision-based artificial intelligence, the prolif...
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12/25/2022
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety
Recently, Smart Video Surveillance (SVS) systems have been receiving mor...
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12/19/2022
CHAD: Charlotte Anomaly Dataset
In recent years, we have seen a significant interest in data-driven deep...
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10/14/2022
Pishgu: Universal Path Prediction Architecture through Graph Isomorphism and Attentive Convolution
Path prediction is an essential task for several real-world real-time ap...
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06/08/2022
A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems
Anomaly detection is an important problem for complex distributed system...
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04/29/2022
A Novel Fully Annotated Thermal Infrared Face Dataset: Recorded in Various Environment Conditions and Distances From The Camera
Facial thermography is one of the most popular research areas in infrare...
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04/14/2022
Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy
Recent research is trying to leverage occupants' demand in the building'...
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02/01/2022
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation
Recent advancements in computer vision have seen a rise in the prominenc...
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01/15/2022
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Action recognition is a key algorithmic part of emerging on-the-edge sma...
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08/01/2021
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways
Vehicle trajectory prediction is an essential task for enabling many int...
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02/05/2021
Single Run Action Detector over Video Stream – A Privacy Preserving Approach
This paper takes initial strides at designing and evaluating a vision-ba...
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11/10/2020
ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge
This paper presents a scalable deep learning model called Agile Temporal...
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09/28/2020
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge
Mez is a publish-subscribe messaging system for latency sensitive multi-...
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07/18/2020
DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks
Deep Separable Convolutional Neural Networks (DSCNNs) have become the em...
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07/16/2020
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation
Recent years have brought great advancement in 2D human pose estimation....
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05/26/2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Pedestrian path prediction is an essential topic in computer vision and ...
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11/20/2019
REVAMP^2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking
This article presents REVAMP^2T, Real-time Edge Video Analytics for Mult...
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08/19/2019
Real-time Person Re-identification at the Edge: A Mixed Precision Approach
A critical part of multi-person multi-camera tracking is person re-ident...
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08/03/2019
