On Friday, December 2nd, at 2:15 p.m., Laura Leal-Taixe (NVIDIA, Technical University of Munich) will give a talk on " From Handcrafted to End-to-End Learning, and Back: a Journey far Multi-Object Tracking". The event is organized as part of a cycle of seminars "GENDER UN BALANCED AI" and will be held at the Sala Eventi Tecnopolo (Building 52) of the Engineering Department "Enzo Ferrari".
Complete list of the "GENDER UN BALANCED AI" seminars here
Abstract
The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatiotemporal trajectories.This problem has been traditionally addressed with the tracking-by-detection paradigm, but recent research has focused on more recent end-to-end leaming paradigms such as tracking-by-regression or tracking-by attention. In this talk I will discuss all the paradigms shifts only to circle back right where we started, tracking-by-detection. Can this paradigm be state-of-the-art?
More information can be found at this link.
You can also attend the seminar online via Microsoft Teams through this link.