Weijiang Xiong (熊伟江) is a second-year robotics master student at Aalto University. He is now working on his master thesis as a research intern at Nokia Technologies. His is broadly interested in Artificial Intelligence, but with a focus on the application of visual perception and machine learning.

In the Vision4Robotics Group at Tongji University, he began his academic exploration from Visual Object Tracking for UAV. He then explored Bayesian Deep Learning methods in his summer project at Aalto PML Group, and applied Normalizing Flows to model the probabilistic distribution of the aleatoric uncertainties for neural networks. During his exchange at EPFL, he completed a project at the VITA Lab, where he utilized body poses as an intermediate representation to recognize pedestrian’s actions. For his thesis, he is studying self-/semi-supervised methods for object detection in aerial images.

His academic path has made him realize the gap between academic state-of-the-art and down-to-the-ground applications, and stimulated his eager for gaining insights into reliable AI applications in the field. His latest resume could be found here, and here are the combined slides for his past research projects.