monjurulkarim

Muhammad Monjurul Karim's repositories

vehicle_distance

Estimating distance to the nearest vehicle from the car dashboard camera

Language:Python28 1 1

DSTA

This is the implementation code for the paper, "A Dynamic Spatial-temporal Attention Network for Early Anticipation of Traffic Accidents"

Language:PythonMIT21 1 8

This is the implementation code for the paper, "An Attention-guided Multistream Feature Fusion Network for Early Localization of Risky Traffic Agents in Driving Videoss", IEEE Transaction on Intelligent Vehicles, 2023.

Language:PythonMIT1000

Tracking_manufacturing

Object detection and tracking using Mask RCNN and temporal coherence

Language:Jupyter Notebook1000

ROL_Dataset

Risky Object Localization (ROL) in a Driving Scene Dataset

800

Crash_road_function_dataset

A dataset for traffic scene classification.

5 10

simple-accident-prediction

Simple Pytorch implementation of dashcam based accident prediction model

Language:Python5 10

crack-localization

Surface crack classification and grad-cam visualization

Language:PythonCC0-1.0400

active-learning

This is the implementation code for the paper, "A semi-supervised self-training method to develop assistive intelligence for segmenting multiclass bridge elements from inspection videos"

Language:Jupyter Notebook3 10

tracking

Language:PythonApache-2.0300

xai-accident

Language:Python200

Cellular_automata

Language:Jupyter Notebook100

Detection-of-Traffic-Anomaly

This is the repo for our Detection of Traffic Anomaly (DoTA) dataset.

Language:PythonMIT100

frame_extract

Language:Python100

pix2pix

This is an implementation of an image-to-image translation method, based on pix2pix. To be more specific, here I built from scratch a GAN which can translate abstract labels into facade images.

Language:Jupyter Notebook100

raft_flow

Language:Python100

Anticipating-Accidents

Anticipating Accidents in Dashcam Videos (ACCV 2016)

000

Car-Sales-Prediction

Developed a Sequential model, implemented linear regression using Artificial Neural Network to predict the total purchase amount in dollars the customers are willing to pay given the attributes like age, salary, net worth, debt, etc.

000