27 citations · 28 across the 3 of their papers we have counts for
4 papers · 1 filter
Deep Simplex Classifier for Maximizing the Margin in Both Euclidean and Angular Spaces
Hakan Cevikalp, Hasan Saribas
The classification loss functions used in deep neural network classifiers can be grouped into two categories based on maximizing the margin in either Euclidean or angular spaces. E…
Deep Compact Polyhedral Conic Classifier for Open and Closed Set Recognition
Hakan Cevikalp, Bedirhan Uzun, Okan Köpüklü +1
In this paper, we propose a new deep neural network classifier that simultaneously maximizes the inter-class separation and minimizes the intra-class variation by using the polyhed…
TRAT: Tracking by Attention Using Spatio-Temporal Features
Hasan Saribas, Hakan Cevikalp, Okan Köpüklü +1
Robust object tracking requires knowledge of tracked objects' appearance, motion and their evolution over time. Although motion provides distinctive and complementary information e…
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Okan Köpüklü, Stefan Hörmann, Fabian Herzog +2
Convolutional Neural Networks with 3D kernels (3D-CNNs) currently achieve state-of-the-art results in video recognition tasks due to their supremacy in extracting spatiotemporal fe…