5 citations · 5 across the 4 of their papers we have counts for
4 papers · 1 filter
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu +3
Attention models have recently emerged as a powerful approach, demonstrating significant progress in various fields. Visualization techniques, such as class activation mapping, pro…
Exploring Object-Aware Attention Guided Frame Association for RGB-D SLAM
Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu +4
Deep learning models as an emerging topic have shown great progress in various fields. Especially, visualization tools such as class activation mapping methods provided visual expl…
ADNet: Temporal Anomaly Detection in Surveillance Videos
Halil İbrahim Öztürk, Ahmet Burak Can
Anomaly detection in surveillance videos is an important research problem in computer vision. In this paper, we propose ADNet, an anomaly detection network, which utilizes temporal…
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition
Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can +1
Recognizing objects and scenes are two challenging but essential tasks in image understanding. In particular, the use of RGB-D sensors in handling these tasks has emerged as an imp…