TeCSAR-UNCC/S-RAD-ActionLocalizationClassification

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Python
Created almost 5 years ago
Updated over 3 years ago

TeCSAR-UNCC/S-RAD-ActionLocalizationClassification

TeCSAR-UNCC

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Single run action detector on video stream data

gem5-SALAM

EfficientHRNet

Pishgu

This repository contains implementation of "Pishgu: A Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems".

person-reid

A mixed precision approach for person-reid

CHAD

Edge-Video-Analytic

Infrastructure for Real-Time Edge Object Re-Identification and Tracking

UNCC-ThermalFace

AWARE-DNN-ACCEL

Project for Automatic Workflow for Application-aware Real-time Edge DNN accelerators

Carolinas_Dataset

This repo is created for Carolinas Dataset.

ADG-Pose

CARPe_Posterum

Code for "CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction"

ATCN

ATCN: Resource-Efficient Processing of Time Series on Edge

Jupyter Notebook

PishguVe

This repo contains the work for PishguVe.

Deep_RACE

Using LSTM and GRU to predict Delta R

OpenCL-FPGA-LLVM

PHEVA

This repository contains PHEVA anomaly detection dataset.

DeepTrack_TrajectoryPrediction

Welcome to the DeepTrack GitHub repository, a cutting-edge solution for vehicle trajectory prediction in the realm of intelligent transportation systems (ITS). As the dynamics of transportation evolve, accurate and real-time trajectory prediction becomes paramount, especially when executed on IoT devices.

TSGAD

This repository contains the implementation of the paper "An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction" accepted to be published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2024. This repository will be updated soon.

key-track

This is the main respository for Key-Track system

OpenCL-Pipes

Implementing OpenCL Pipes for Rodinia applications on Xilinx FPGAs

RW-GCN

Real-World Graph Convolution Networks

VDoT-AssetDetecClassification

Jupyter Notebook

DeepDive