2024
- 09 Oct NLP - Getting started [Part 3]
- 05 Oct NLP - Getting started [Part 2]
- 19 Sep NLP - Getting started [Part 1]
- 11 Sep Point Cloud?
- 09 Sep Paper note - [Week 7]
- 30 Mar Paper note - [Week 6]
- 17 Mar Paper note - [Week 5]
- 24 Feb Paper note - [Week 4]
- 16 Feb 3D Deep Learning with Pytorch3D [Part 3 - State-of-the-art 3D Deep Learning Using PyTorch3D]
- 16 Feb 3D Deep Learning with Pytorch3D [Part 2 - 3D Deep Learning using PyTorch3D]
- 16 Feb 3D Deep Learning with Pytorch3D [Part 1 - Introduction]
- 15 Feb Paper note - [Week 3]
- 03 Feb Deformable Convolutional Networks
- 02 Feb Spatial Transformer Networks [Part 2]
- 02 Feb Spatial Transformer Networks [Part 1]
- 30 Jan Bird Eye View Generation Using IPM (Inverse Perspective Mapping)
- 09 Jan Paper note - [Week 2]
- 06 Jan Paper note 10 - NeRF - Representing Scenes as Neural Radiance Fields for View Synthesis Review
- 01 Jan XAI 6 - Human-Friendly Explanations with TCAV
2023
- 30 Dec XAI 5 - Model Interpretability Using SHAP
- 30 Dec XAI 4 - LIME for Model Interpretability
- 29 Dec Docker Note - [1 to ?]
- 29 Dec Paper note - [Week 1]
- 29 Dec XAI 3 - Data-Centric Approaches
- 23 Dec XAI 2 - Model Explainability Methods
- 23 Dec XAI 1 - Foundational Concepts of Explainability Techniques
- 23 Dec Applied Computational Thinking Problems
- 23 Dec Using Computational Thinking in Simple Challenges
- 23 Dec Identifying Challenges within Solutions
- 23 Dec Designing Solutions and Solution Processes
- 22 Dec Exploring Problem Analysis
- 20 Dec Logical Reasoning
- 20 Dec Algorithms and Algorithmic Thinking
- 20 Dec Computational Thinking
- 19 Dec Fundamentals of Computer Science
- 15 Dec Homography Estimation
- 01 Dec Amazon DocumentDB
- 30 Nov Amazon DynamoDB
- 19 Nov Paper note 9 - BEVFusion - Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
- 18 Nov Lightweight deep learning model
- 29 Sep Paper note 8 - Virtual Sparse Convolution for Multimodal 3D Object Detection
- 29 Sep Github workflow
- 29 Sep Paper note 7 - PointRCNN - 3D Object Proposal Generation and Detection from Point Cloud
- 19 Sep 3D Object Detection for Autonomous Driving - A Comprehensive Survey [Paper Lists]
- 17 Sep Common Model Evaluation Metrics for Machine Learning
- 16 Sep 3D Object Detection for Autonomous Driving - A Comprehensive Survey
- 13 Sep Paper note 6 - PointPillars - Fast Encoders for Object Detection from Point Clouds
- 13 Sep Paper note 5 - SECOND - Sparsely Embedded Convolutional Detection
- 13 Sep Paper note 4 - VoxelNet - End-to-End Learning for Point Cloud Based 3D Object Detection
- 11 Sep Paper note 3 - PointNets Series
- 09 Sep Paper note 2 - Multi-View 3D Object Detection Network for Autonomous Driving
- 09 Sep Paper note 1 - Multi-Sensor Fusion and Cooperative Perception for Autonomous Driving
- 20 Jul Visual Odometry and Visual Algorithms [Part 17] - Application questions
- 15 Jul Visual Odometry and Visual Algorithms [Part 16] - Event based vision
- 11 Jul Visual Odometry and Visual Algorithms [Part 15] - Visual inertial fusion
- 10 Jul Visual Odometry and Visual Algorithms [Part 14] - Place Recognition
- 05 Jul Visual Odometry and Visual Algorithms [Part 13] - Dense 3D Reconstruction
- 04 Jul Visual Odometry and Visual Algorithms [Part 12] - Point / Feature Tracking
- 03 Jul Visual Odometry and Visual Algorithms [Part 11] - Visual Odometry / Visual SLAM
- 02 Jul Visual Odometry and Visual Algorithms [Part 10] - RANSAC & Bundle Adjustment
- 01 Jul Visual Odometry and Visual Algorithms [Part 9] - Structure from Motion
- 22 Jun Visual Odometry and Visual Algorithms [Part 8] - Stereovision, Trinagulation, Feature Correspondance, Disparity Map
- 20 Jun Visual Odometry and Visual Algorithms [Part 7] - Point Feature Description & Matching (FAST, SIFT, SURF)
- 12 Jun Visual Odometry and Visual Algorithms [Part 6] - Point Feature Detection
- 10 Jun Visual Odometry and Visual Algorithms [Part 5] - Image Filtering
- 07 Jun Visual Odometry and Visual Algorithms [Part 4] - Camera Calibration
- 04 Jun Visual Odometry and Visual Algorithms [Part 3] - Camera Projection
- 01 Jun Visual Odometry and Visual Algorithms [Part 2] - Optics
- 30 May Visual Odometry and Visual Algorithms [Part 1] - Overview
- 14 Apr ZED2 with ORB-SLAM3 (Stereo-IMU mode) step-by-step
- 03 Jan Designing Callbacks in C++
2022
- 11 Dec ML for 3D Geometry - Note
- 09 Dec ML for 3D Geometry - Part 10
- 08 Dec ML for 3D Geometry - Part 9
- 07 Dec ML for 3D Geometry - Part 8
- 06 Dec ML for 3D Geometry - Part 7
- 05 Dec ML for 3D Geometry - Part 6
- 04 Dec ML for 3D Geometry - Part 5
- 03 Dec ML for 3D Geometry - Part 4
- 02 Dec ML for 3D Geometry - Part 3
- 01 Dec ML for 3D Geometry - Part 2
- 01 Dec ML for 3D Geometry - Part 1
- 17 Jun Computer Vision Fundamental - [Part 10]
- 17 Jun Computer Vision Fundamental - [Part 9]
- 17 Jun Computer Vision Fundamental - [Part 8]
- 16 Jun Computer Vision Fundamental - [Part 7]
- 15 Jun Computer Vision Fundamental - [Part 6]
- 14 Jun Computer Vision Fundamental - [Part 5]
- 13 Jun Computer Vision Fundamental - [Part 4]
- 12 Jun Computer Vision Fundamental - [Part 3]
- 11 Jun Computer Vision Fundamental - [Part 2]
- 10 Jun Computer Vision Fundamental - [Part 1]
- 31 May Learning How to learn -summary
- 22 May Learn LaTEX - [Part 2]
- 21 May Learn LaTEX - [Part 1]
- 21 Mar Setup FTP Server with VSFTPD on Ubuntu 20.04
- 24 Feb NVDLA Primer
- 13 Feb Qt Framework - Qt Quick Scene Graph
- 09 Feb DevOps - The Future of DevOps
- 09 Feb DevOps - Signs of Dysfunctional Processes in DevOps
- 08 Feb DevOps - Adopting DevOps
- 07 Feb DevOps - DevOps Tools
- 06 Feb DevOps - DevOps Practices
- 05 Feb DevOps - The DevOps Lifecycle and Workflow
- 04 Feb DevOps - What Is DevOps?
- 03 Feb Project Management Handbook - DEVOPS
- 02 Feb Project Management Handbook - SCRUM
- 01 Feb Project Management Handbook - AGILE
- 31 Jan Project Management Handbook - Project Management Life Cycle
- 30 Jan Project Management Handbook - Popular Project Management Terms
- 29 Jan Project Management Handbook - Introductioin
- 28 Jan Machine Learning is Fun! - How to Intentionally Trick Neural Networks
- 27 Jan Machine Learning is Fun! - Abusing Generative Adversarial Networks to Make 8-bit Pixel Art
- 26 Jan Machine Learning is Fun! - How to do Speech Recognition with Deep Learning
- 25 Jan Machine Learning is Fun! - Language Translation with Deep Learning and the Magic of Sequences
- 24 Jan Machine Learning is Fun! - Modern Face Recognition with Deep Learning
- 23 Jan Machine Learning is Fun! - Deep Learning and Convolutional Neural Networks
- 22 Jan Machine Learning is Fun! - Using Machine Learning to generate Super Mario Maker levels
- 21 Jan Machine Learning is Fun! - Predicting housing prices
- 19 Jan Crop yield prediction using machine learning - A systematic literature review
- 19 Jan Comvolutional Neural Networks
- 18 Jan Templates in C++
- 15 Jan Smart Pointers in C++
- 12 Jan Yocto Project
- 12 Jan Setting Up Environment for Building Boot to Qt (Raspberri Pi 4)
- 11 Jan Vision Transformers (ViT) in Image Recognition
- 03 Jan Void pointers in CPP
- 02 Jan Pointers in C/C++ with Examples
- 01 Jan Kalman Filtering A Simple Introduction
2021
- 31 Dec Object Oriented Programming Keywords
- 30 Dec Object Oriented Programming
- 27 Dec The way objects are created in C++
- 26 Dec Function Pointers in C and C++
- 24 Dec Lambda Functions in C++11
- 15 Dec Microservices A Microservice Is More Than Just an API
- 09 Oct Semantic segmentation tutorial Part 1 Image Segmentaion
- 01 Oct Main Challenges of Machine Learning
- 22 Sep Google C++ Style Note
- 21 Sep Shell Script
- 21 Sep The Linux Booting Process
- 20 Sep Process and Job Control
- 19 Sep Viewing Files and Editor
- 18 Sep Input Output and Redirection
- 18 Sep File and Directory Permissions
- 17 Sep Links and Shortcuts in Linux
- 16 Sep Working with Directory
- 15 Sep Basic Linux Command
- 14 Sep The Shell Theory
- 13 Sep Linux Directory Structure
- 09 Jun OpenCV 4.2.0 with CUDA 10.2 and Qt support
- 09 Jun Debug technique in C++ programming