Guanqun Ding

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Saliency Detection

Video Sequences

Top Venues

IET Image Process.

IEEE Trans. Image Process.

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)
Leyuan Sun, Guanqun Ding, Yue Qiu, Yusuke Yoshiyasu, Fumio Kanehiro
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation. 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)
Leyuan Sun, Guanqun Ding, Yusuke Yoshiyasu, Fumio Kanehiro
CertainOdom: Uncertainty Weighted Multi-task Learning Model for LiDAR Odometry Estimation. ROBIO (2022)
Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding. BMVC (2022)
Boyang Wan, Wenhui Jiang, Yuming Fang, Zhiyuan Luo, Guanqun Ding
Anomaly Detection in Video Sequences: A Benchmark and Computational Model. CoRR (2021)
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)
Boyang Wan, Wenhui Jiang, Yuming Fang, Zhiyuan Luo, Guanqun Ding
Anomaly detection in video sequences: A benchmark and computational model. IET Image Process. 15 (14) (2021)
Feifei Xu, Guanqun Ding, Wenkai Zhang, Shanlin Zhou
RKC-H: A Rich Knowledge Based Model for Multi-turn Dialogue Generation. TASE (2020)
Yuming Fang, Guanqun Ding, Wenying Wen, Feiniu Yuan, Yong Yang, Zhijun Fang, Weisi Lin
Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems. IEEE Trans. Ind. Electron. 67 (11) (2020)
Nevrez Imamoglu, Guanqun Ding, Y. Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura
Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task. ICASSP (2019)
Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura
Salient object detection on hyperspectral images using features learned from unsupervised segmentation task. CoRR (2019)
Yuming Fang, Guanqun Ding, Jia Li, Zhijun Fang
Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks. IEEE Trans. Image Process. 28 (5) (2019)
Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection. QoMEX (2018)
Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu
Robustness Analysis of Pedestrian Detectors for Surveillance. CoRR (2018)
Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu
Robustness Analysis of Pedestrian Detectors for Surveillance. IEEE Access 6 (2018)
Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection. CoRR (2018)
Guanqun Ding, Yuming Fang
Video Saliency Detection by 3D Convolutional Neural Networks. CoRR (2018)
Guanqun Ding, Yuming Fang
Video Saliency Detection by 3D Convolutional Neural Networks. IFTC (2017)