Jeová Farias
About
Dr. Jeová Farias is an Assistant Professor of Computer Science at Bowdoin College, specializing in Computer Vision and Machine Learning. His research primarily focuses on unsupervised learning problems, specifically utilizing discrete optimization, statistics, and deep learning to advance image segmentation and data clustering. He has a significant background in developing interpretable models and has applied his expertise to complex imaging challenges, including Biomedical imagery and Synthetic Aperture Radar (SAR) for remote sensing. Dr. Farias earned his PhD from Brown University, an MSc from the Université de Nice Sophia Antipolis, and his undergraduate degree from the Universidade Federal do Ceará. In the classroom, he bridges theory and practice through courses like Deep Learning for Computer Vision, where he guides students in using frameworks like PyTorch to solve real-world visual recognition problems.
Research Performance Summary
First Recorded Paper
SAR image segmentation with Renyi's entropy
Year: 2016
Citations: 42
Venue: IEEE Signal Processing Letters 23 (11)
Latest Recorded Paper
Appearance Estimation and Image Segmentation via Tensor Factorization
Year: 2025
Citations: 0
Venue: IEEE Open Journal of Signal Processing
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.