1 code implementation • 28 Jan 2019 • Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll
In this paper, we propose a CNN architecture, Layer Reuse Network (LruNet), where the convolutional layers are used repeatedly without the need of introducing new layers to get a better performance.
no code implementations • 9 Nov 2018 • Maryam Babaee, Ali Athar, Gerhard Rigoll
To this end, tracklet re-identification is performed by utilizing a novel multi-stage deep network that can jointly reason about the visual appearance and spatio-temporal properties of a pair of tracklets, thereby providing a robust measure of affinity.
no code implementations • 23 Apr 2018 • Maryam Babaee, Linwei Li, Gerhard Rigoll
In gait recognition, normally, gait feature such as Gait Energy Image (GEI) is extracted from one full gait cycle.