From Image Understanding to Medical Image Analysis

Abstract

In recent years, we have witnessed technological breakthroughs in the fields of deep learning and image understanding. In this talk, I share a few examples of my recent work on image understanding and medical image analysis. In the first part on image understanding, I present projects on fine-grained image classification based on either transfer learning or weakly supervised learning, salient object detection in images or videos, language-guided object identification in images, RGB-D scene labeling as well as weakly supervised learning for object detection and semantic segmentation. In the second part on medical image analysis, I present projects on 3D medical volume segmentation based on global guidance and progressive fusion as well as automated chest X-ray interpretation using mixed supervised learning.