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Hi! I'm Sérgio and I'm a:

  • 🚗 Random guy working on LiDAR perception for Autonomous Vehicles.
  • 📉 PhD student in correspondence-based pose estimation and geometric deep learning.
  • 🤖 Huge fan of home automation and the self-hosted lifestyle
  • ☁️ Ex-Point Cloud Library maintainer.
  • 🎹 Music enthusiast.

You need to reach out or are just interested in what I'm up to, just check https://sergioagostinho.com/ for the latest updates.

Sérgio Agostinho's Projects

pydub icon pydub

Manipulate audio with a simple and easy high level interface

pytorch icon pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-lightning icon pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

rpmnet icon rpmnet

RPM-Net: Robust Point Matching using Learned Features (CVPR2020)

semantic-kitti-api icon semantic-kitti-api

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

sfml icon sfml

Simple and Fast Multimedia Library

singleshotpose icon singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

ssd6d icon ssd6d

Inference code and trained networks for SSD-6D

tinyply icon tinyply

:earth_africa: C++11 ply 3d mesh format importer & exporter

usip icon usip

USIP: Unsupervised Stable Interest Point Detection from 3D Point Clouds

visp icon visp

Open Source Visual Servoing Platform

vorta icon vorta

Desktop Backup Client for Borg

zhou-accv-2018 icon zhou-accv-2018

A Python 3 implementation of "A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences." by Zhou et al. ACCV 2018

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