2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
LiDAR odometry estimation and 3D semantic segmentation are crucial for autonomous driving, which has achieved remarkable advances recently. However, these tasks are challenging due…
Surgical Skill Assessment via Video Semantic Aggregation
Zhenqiang Li, Lin Gu, Weimin Wang +2
Automated video-based assessment of surgical skills is a promising task in assisting young surgical trainees, especially in poor-resource areas. Existing works often resort to a CN…
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan +2
Feed-forward only convolutional neural networks (CNNs) may ignore intrinsic relationships and potential benefits of feedback connections in vision tasks such as saliency detection,…
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…