tarekbouamer Goto Github PK

meshrcnn

code for Mesh R-CNN, an academic publication, presented at ICCV 2019

meshroom

3D Reconstruction Software

mib

Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718

mirror

Matchable Image Retrieval by Learning from Surface Reconstruction

mots_tools

Tools for evaluating and visualizing results for the Multi Object Tracking and Segmentation (MOTS) task

nerf-pytorch

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

nerf_pl

NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning

neural_renderer

A PyTorch port of the Neural 3D Mesh Renderer

npbg

Neural Point-Based Graphics

oanet

Implementation of ICCV19 Paper "Learning Two-View Correspondences and Geometry Using Order-Aware Network"

obj_detection

ol_tarekbouamer.github.io

optimal-control-and-planning-for-autonomous-driving

plane_merge

popsift

PopSift is an implementation of the SIFT algorithm in CUDA.

pyvo

rgbd2normal

Code for Deep Surface Normal Estimation with Hierarchical RGB-D Fusion (CVPR2019)

ros-projects

scannet

seamseg

Seamless Scene Segmentation

slam_course

superpoint

Efficient neural feature detector and descriptor

superspartybros

This game is a simple platofrmer game made as part of the Game Development for Modern Platforms course. the game contain 10 levels. each level contains enemies and obstacles and you objective is to move and jump until you collect the win item (Red Rose).

talr

Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"

tarekbouamer

tarekbouamer.github.io

tests

trackr-cnn

TrackR-CNN baseline method for Multi-Object Tracking and Segmentation (MOTS)

universal-computation

Official codebase for Pretrained Transformers as Universal Computation Engines.

vision-algorithms-for-mobile-robotics

I have been follwing this course as reference to build a strong background in Computer vision fro Autonomous sytems such as feature extraction, multiple view geometry, dense reconstruction, tracking, image retrieval, event-based vision, and visual-inertial odometry.