- 🔭 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
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.
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