Ali Caglayan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Salient Regions

Saliency Detection

Object Recognition

Top Venues

Image Vis. Comput.

Publications

Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
Attention-guided LiDAR segmentation and odometry using image-to-point cloud saliency transfer. Multim. Syst. 30 (4) (2024)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer. CoRR (2023)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks. Image Vis. Comput. 120 (2022)
Ali Caglayan, Nevrez Imamoglu, Oguzhan Guclu, Ali Osman Serhatoglu, Weimin Wang, Ahmet Burak Can, Ryosuke Nakamura
RGB-D SLAM Using Attention Guided Frame Association. CoRR (2022)
Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can, Ryosuke Nakamura
When CNNs meet random RNNs: Towards multi-level analysis for RGB-D object and scene recognition. Comput. Vis. Image Underst. 217 (2022)
Ali Caglayan, Nevrez Imamoglu, Ryosuke Nakamura
MMSNet: Multi-modal scene recognition using multi-scale encoded features. Image Vis. Comput. 122 (2022)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding. BMVC (2022)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection. MLSP (2021)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
FBNet: FeedBack-Recursive CNN for Saliency Detection. MVA (2021)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks. CoRR (2021)
Ali Caglayan, Nevrez Imamoglu, Ahmet Burak Can, Ryosuke Nakamura
When CNNs Meet Random RNNs: Towards Multi-Level Analysis for RGB-D Object and Scene Recognition. CoRR (2020)
Oguzhan Guclu, Ali Caglayan, Ahmet Burak Can
RGB-D Indoor Mapping Using Deep Features. CVPR Workshops (2019)
Oguzhan Guclu, Ali Caglayan, Ahmet Burak Can
RGB-D Indoor Mapping Using Deep Features. CVPR Workshops (2019)
Ali Caglayan, Ahmet Burak Can
Exploiting Multi-layer Features Using a CNN-RNN Approach for RGB-D Object Recognition. ECCV Workshops (3) (2018)
Ali Caglayan, Ahmet Burak Can
Volumetric Object Recognition Using 3-D CNNs on Depth Data. IEEE Access 6 (2018)
Ali Caglayan, Ahmet Burak Can
3D convolutional object recognition using volumetric representations of depth data. MVA (2017)
Ali Caglayan, Ahmet Burak Can
An Empirical Analysis of Deep Feature Learning for RGB-D Object Recognition. ICIAR (2017)
Ali Caglayan, Oguzhan Guclu, Ahmet Burak Can
A Plant Recognition Approach Using Shape and Color Features in Leaf Images. ICIAP (2) (2013)