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2020 – today
- 2024
[j6]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): 188 (2024)- 2023
- [i8]Leyuan Sun, Guanqun Ding, Yue Qiu, Yusuke Yoshiyasu, Fumio Kanehiro:
TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation. CoRR abs/2304.07728 (2023) - [i7]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer. CoRR abs/2308.14332 (2023) - 2022
- [j5]Guanqun Ding
, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks. Image Vis. Comput. 120: 104395 (2022) - [c8]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding. BMVC 2022: 584 - [c7]Leyuan Sun, Guanqun Ding, Yusuke Yoshiyasu, Fumio Kanehiro:
CertainOdom: Uncertainty Weighted Multi-task Learning Model for LiDAR Odometry Estimation. ROBIO 2022: 121-128 - 2021
- [j4]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): 3454-3465 (2021) - [c6]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection. MLSP 2021: 1-6 - [c5]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
FBNet: FeedBack-Recursive CNN for Saliency Detection. MVA 2021: 1-5 - [i6]Boyang Wan, Wenhui Jiang, Yuming Fang, Zhiyuan Luo, Guanqun Ding:
Anomaly Detection in Video Sequences: A Benchmark and Computational Model. CoRR abs/2106.08570 (2021) - [i5]Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura:
SalFBNet: Learning Pseudo-Saliency Distribution via Feedback Convolutional Networks. CoRR abs/2112.03731 (2021) - 2020
- [j3]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): 9893-9903 (2020) - [c4]Feifei Xu, Guanqun Ding, Wenkai Zhang, Shanlin Zhou:
RKC-H: A Rich Knowledge Based Model for Multi-turn Dialogue Generation. TASE 2020: 25-32
2010 – 2019
- 2019
- [j2]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): 2305-2318 (2019) - [c3]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: 2192-2196 - [i4]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 abs/1902.10993 (2019) - 2018
- [j1]Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu:
Robustness Analysis of Pedestrian Detectors for Surveillance. IEEE Access 6: 28890-28902 (2018) - [c2]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: 1-3 - [i3]Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura:
Hyperspectral Image Dataset for Benchmarking on Salient Object Detection. CoRR abs/1806.11314 (2018) - [i2]Guanqun Ding, Yuming Fang:
Video Saliency Detection by 3D Convolutional Neural Networks. CoRR abs/1807.04514 (2018) - [i1]Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu:
Robustness Analysis of Pedestrian Detectors for Surveillance. CoRR abs/1807.04562 (2018) - 2017
- [c1]Guanqun Ding, Yuming Fang:
Video Saliency Detection by 3D Convolutional Neural Networks. IFTC 2017: 245-254
Coauthor Index
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