Research in our Smart Vision Lab (SVL) focuses on Computer Vision and Machine Learning problems. Instead of pure data-driven philosophy, we aspire to combine the geometrical rules into our physical world and the learning-based approaches in computer vision. In such a way, we hope to design more reliable and controllable algorithm in real-world applications.
Specifically, we are developing visual perception tools including but not limited to object recognition, visual object tracking, semantic scene segmentation, facial reconstruction and recognition, etc.
We are looking for
PhD/Master Students, RAs and postdocs. Please send your CV to firstname.lastname@example.org.