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Achievement: Arctic Code Vault ContributorAchievement: StarstruckAchievement: Pull Sharkx2

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heitorrapela/README.md

Hi there, I am Heitor Rapela!

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  • 📫 How to reach me: @heitorrapela on Twitter
  • I am 3x Kaggle Expert (with one solo first place in Kaggle TPS)
  • I am also fourth-year PhD Candidate with publications in top computer vision (CV) conferences
  • More than 10 years experience in CV

Overview

I am a fourth-year PhD Candidate at ÉTS Montreal, where I work in the Distech Controls Industrial Research Chair project with an MITACS scholarship. I am advised by Professors Marco Pedersoli and Eric Granger. My primary research focus is computer vision and machine learning, especially in the areas of object detection and domain adaptation. I am also a member of the International Laboratory on Learning Systems (ILLS).

I did my Masters degree at CIn-UFPE, advised by Professor Hansenclever Bassani . In parallel, I worked as a researcher in LINCS/CETENE with Professor Edna Barros and Antonyus Pyetro in the field of object detection and face recognition. By the end of my Masters, I worked as a junior data engineer at Neurotech for eight months, where I did ETL, data ingestion and implemented deep learning solutions.

Regarding my undergraduate studies, I accomplished my bachelor's in computer engineering at CIn-UFPE, where I had the opportunity to work in robotics with Professors Edna Barros and Hansenclever Bassani and in computer vision with Professor Carlos Alexandre. During my Bachelor's, I did an internship as a software engineer at Motorola/CIn, where I developed a parser solution for 4G wireless communication, and I co-founded RoboCIn, the best robot competition team in Latin America. Over the course of my academic career, I have been awarded several scholarships and have won hackathons and robotics competitions.

I am a volunteer reviewer for WACV, ICLR, and LXAI, where I currently serve as co-chair for the LXAI NeurIPS 2024 workshop. In my free time, I enjoy participating in Kaggle competitions, playing guitar, watching anime, and drinking a good cappuccino.

I am currently seeking internship positions for 2025. Upon completing my PhD, I will explore options for the next stage of my career, whether in a postdoctoral position or in the industry. Please feel free to contact me if you have any opportunities.

Languages and Tools

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  1. ModTr ModTr Public

    [ECCV2024] ModTr: Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge

    Python 9

  2. HalluciDet HalluciDet Public

    [WACV2024] HalluciDet: Hallucinating RGB Modality for Person Detection Through Privileged Information (Accepted at WACV 2024 and LatinX@CVPR2024 Extended Abstract)

    Python 18

  3. MiPa MiPa Public

    [WACV2025] MiPa: Mixed Patch Infrared-Visible Modality Agnostic Object Detection

    7

  4. xdog xdog Public

    Extended Difference of Gaussians (xDoG) implementation

    Python 62 8

  5. fashion-mnist-mlp fashion-mnist-mlp Public

    fashion-mnist-mlp in Keras

    Python 15 2

  6. awesome-phd-internships awesome-phd-internships Public

    This is a public list of PhD internship positions. Feel free to add pull-requests to the positions.

    2