• 🔭 I’m currently working on my Cross-Modal Detection
• 🌱 I’m currently learning Pytorch Lightning
• 📫 How to reach me: @heitorrapela on Twitter

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.