M. Usman Maqbool Bhutta's repositories
why-so-deep
Why-So-Deep: Towards Boosting Previously Trained Models for Visual Place Recognition (MAQBOOL)
cpp_cheatsheet
C++ quick reference / cheet sheet , the goal is to give a concise overview of basic, modern C++.
hkust-phd-mphil-thesis
HKUST PhD / MPhil Thesis Latex Template 2021 (ECE) with Signature Page
usmanmaqbool.github.io
Personal Page
leo-docker-images
Leo Docker Images
April-Tag-VR-FullBody-Tracker
Full-body tracking in VR using AprilTag markers.
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
deep-visual-geo-localization-benchmark
Official code for CVPR 2022 (Oral) paper "Deep Visual Geo-localization Benchmark"
Edge-Boxes-Python-Docker
Docker image and Test Example of Edge Boxes: Locating Object Proposals from Edges
gbplanner_ros
Graph-based Exploration Planner for Subterranean Environments
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
lidar_IMU_calib
Targetless Calibration of LiDAR-IMU System Based on Continuous-time Batch Estimation
minimal-mistakes
:triangular_ruler: Jekyll theme for building a personal site, blog, project documentation, or portfolio.
Patch-NetVLAD
Code for the CVPR2021 paper "Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition"
pytorch-Deep-Learning
Deep Learning (with PyTorch)
pytorch-NetVlad
Pytorch implementation of NetVlad including training on Pittsburgh.
pytorch-template
PyTorch deep learning projects made easy.
Reading-List
Reading list on deep learning
slambook-en
The English version of 14 lectures on visual SLAM.
tikz-graph-in-latex
https://usmanmaqbool.github.io/how-to-add-tikz-graphs-in-latex/
VINS-Fusion
An optimization-based multi-sensor state estimator