Ali Caglayan

According to our database, Ali Caglayan authored at least 15 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer.

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura

CoRR, 2023

2022

SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks.

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura

Image Vis. Comput., 2022

MMSNet: Multi-modal scene recognition using multi-scale encoded features.

Ali Caglayan, Nevrez Imamoglu, Ryosuke Nakamura

Image Vis. Comput., 2022

When CNNs meet random RNNs: Towards multi-level analysis for RGB-D object and scene recognition.

Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can, Ryosuke Nakamura

Comput. Vis. Image Underst., 2022

RGB-D SLAM Using Attention Guided Frame Association.

Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu, Ali Osman Serhatoglu, Weimin Wang, Ahmet Burak Can, Ryosuke Nakamura

CoRR, 2022

SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding.

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

FBNet: FeedBack-Recursive CNN for Saliency Detection.

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection.

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2019

RGB-D Indoor Mapping Using Deep Features.

Oguzhan Guclu, Ali Caglayan, Ahmet Burak Can

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Derin öğrenme tekniklerini kullanarak rgb-d nesne tanıma (Rgb-d object recognition using deep learning techniques)

Ali Caglayan

PhD thesis, 2018

Volumetric Object Recognition Using 3-D CNNs on Depth Data.

Ali Caglayan, Ahmet Burak Can

IEEE Access, 2018

Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition.

Ali Caglayan, Ahmet Burak Can

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

3D convolutional object recognition using volumetric representations of depth data.

Ali Caglayan, Ahmet Burak Can

Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

An Empirical Analysis of Deep Feature Learning for RGB-D Object Recognition.

Ali Caglayan, Ahmet Burak Can

Proceedings of the Image Analysis and Recognition - 14th International Conference, 2017

2013

A Plant Recognition Approach Using Shape and Color Features in Leaf Images.

Ali Caglayan, Oguzhan Guclu, Ahmet Burak Can

Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013