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Name: Heitor Rapela Medeiros

Type: User

Company: ETS Montreal

Bio: PhD Candidate. My interests rely on computer vision, unsupervised learning, representation learning, robotics.

Twitter: HeitorRapela

Location: Montreal, QC

Blog: https://www.linkedin.com/in/heitorrapela/

Hi there, I am Heitor Rapela!

🔭 I’m currently working on my Cross-Modal Detection
🌱 I’m currently learning Pytorch Lightning
📫 How to reach me: @heitorrapela on Twitter
I am 3x Kaggle Expert (with one solo first place in Kaggle TPS)
I am also third year PhD Candidate with publications in top computer vision (CV) conferences
More than 10 years experience in CV

Overview

Hi, I am Heitor Rapela, a Ph.D. student working with cross-modal detection (e.g., RGB <-> Infrared detection). My advisors are Marco Pedersoli and Eric Granger.

During my bachelor's in Computer Engineer, I cofounded the Ardurec Community and the RoboCIn. At this time, I was the computer vision manager of the RoboCIn Very Small Size team.

My undergrad project was about clustering with self-organizing maps using deep learning features. This work granted me a journal (Computer Vision and Image Understanding - CVIU) and helped me build confidence in my research.

In my undergrad and Master's, I was advised by professor Hansenclever Bassani, one of the best researchers that I know. I also worked on many side projects with professor Edna Barros, like detection and recognition projects in CETENE.

After that, I continued working with computer vision but started to learn and apply machine learning techniques in personal projects and academic projects.

I did my Master's degree in the field of unsupervised deep learning, which I developed with my coworker the deep clustering self-organizing maps with relevance learning. You can check in my google scholar papers. I also worked during my Master's with detection, semantic segmentation, and reinforcement learning.

In my spare time, I like to learn and compete @Kaggle.

Languages and Tools

Heitor Rapela Medeiros's Projects

custom-diffusion

Pytorch code for Custom Diffusion

cutmix

a Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.

da_detection_material

A Collection of Domain Adaptation for Object Detection Material

daily-studies

My daily studies :)

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

dda

Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"

ddib

Dual Diffusion Implicit Bridges for Image-to-Image Translation. ICLR 2023.

deep-hough-transform

Jittor and Pytorch code for paper "Deep Hough Transform for Semantic Line Detection" (ECCV 2020, PAMI 2021)

deepinsight

A methodology to transform a non-image data to an image for convolution neural network architecture

deepunsupervised

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

description2code

desom

:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

detfusion

This is the offical repository for "DetFusion: A Detection-driven Infrared and Visible Image Fusion Network" (ACM MM 2022).

detrex

detrex is a research platform for Transformer-based Object Detection algorithms including DETR (ECCV 2020), Deformable-DETR (ICLR 2021), Conditional-DETR (ICCV 2021), DAB-DETR (ICLR 2022), DN-DETR (CVPR 2022), DINO (arXiv 2022), H-DETR (arXiv 2022), MaskDINO (arXiv 2022), etc.

heitorrapela Goto Github PK

Hi there, I am Heitor Rapela!

Overview

Languages and Tools

Heitor Rapela Medeiros's Projects

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