Repository for "Deformable 3D Convolution for Video Super-Resolution", SPL, 2020

Some ipython notebooks implementing AI algorithms

Don't feel pain to use Deformable Convolution

A collection of loss functions for medical image segmentation

PyTorch & Keras implementation for BraTs (Brain Tumor Segmentation)

Exploring Domain-Driven Design in Golang

Face Transformer for Recognition

Implementations of recent research prototypes/demonstrations using MONAI.

A collection of papers about Transformer in the field of medical image analysis.

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

A lightweight 3D Morphable Face Model library in modern C++

List of Computer Science courses with video lectures.

Roadmap to become a Visual-SLAM developer in 2023

🤘 awesome-semantic-segmentation

A resource for learning about Machine learning & Deep Learning

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

An Intelligent Modular Real-Time Vision-Based System for Environment Perception (NeurIPS 2022 Workshop)

Questions to ask the company during your interview

High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀

Full coverage path planning provides a move_base_flex plugin that can plan a path that will fully cover a given area

A list of engineering manager resource links.

Empirical laws of software development

Face Recognition using pre-trained model built-on Arcface was implemented on Pytorch.

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs