Behzad Bozorgtabar

About Me
I am a Research Scientist at EPFL, in the Signal Processing Laboratory 5 (LTS5). I am also affiliated with the University Hospital Center (CHUV) and the Center of Biomedical Imaging (CIBM). My research interests lie in the general area of machine learning and computer vision, particularly in deep representation learning, as well as their applications in domain adaptation, self-supervised learning and in the context of 3D vision and medical imaging analysis. The ultimate goal of my research is to develop robust deep image and video representations that capture and understand the world as well as our human eye and mind do. Those representations will form the basic building block of many downstream applications. Please check my homepage at (behzadbozorgtabar.com) to view my up-to-date publications and projects.
Fields of expertise
⇨ Machine Learning (generative adversarial networks, self-supervised learning, meta-learning, domain-adaptation)
⇨ Computer Vision (object detection, object tracking, multi-target tracking, action recognition, event detection, scene geometry, depth and ego-motion estimation from video)
⇨ Affective Computing (real-time facial expression recognition )
⇨ Image Processing (semantic image segmentation, medical image analysis)
⇨ Computer Vision (object detection, object tracking, multi-target tracking, action recognition, event detection, scene geometry, depth and ego-motion estimation from video)
⇨ Affective Computing (real-time facial expression recognition )
⇨ Image Processing (semantic image segmentation, medical image analysis)
Teaching & PhD
Teaching
Electrical and Electronics Engineering