Video Saliency Detection by 3D Convolutional Neural Networks. - Guanqun Ding; Yuming Fang (IFTC, 2017)

Hyperspectral Image Dataset for Benchmarking on Salient Object Detection. - Nevrez Imamoglu; Yu Oishi; Xiaoqiang Zhang 007; Guanqun Ding; Yuming Fang; Toru Kouyama; Ryosuke Nakamura (QoMEX, 2018)

Robustness Analysis of Pedestrian Detectors for Surveillance. - Yuming Fang; Guanqun Ding; Yuan Yuan 029; Weisi Lin; Haiwen Liu (IEEE Access, 2018)

Salient Object Detection on Hyperspectral Images Using Features Learned from Unsupervised Segmentation Task. - Nevrez Imamoglu; Guanqun Ding; Y. Fang; Asako Kanezaki; Toru Kouyama; Ryosuke Nakamura (ICASSP, 2019)

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task. - Nevrez Imamoglu; Guanqun Ding; Yuming Fang; Asako Kanezaki; Toru Kouyama; Ryosuke Nakamura (CoRR, 2019)

Deep3DSaliency: Deep Stereoscopic Video Saliency Detection Model by 3D Convolutional Networks. - Yuming Fang; Guanqun Ding; Jia Li 003; Zhijun Fang (IEEE Trans. Image Process., 2019)

RKC-H: A Rich Knowledge Based Model for Multi-turn Dialogue Generation. - Feifei Xu; Guanqun Ding; Wenkai Zhang; Shanlin Zhou (TASE, 2020)

Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems. - Yuming Fang; Guanqun Ding; Wenying Wen; Feiniu Yuan; Yong Yang 001; Zhijun Fang; Weisi Lin (IEEE Trans. Ind. Electron., 2020)

FBR-CNN: A Feedback Recurrent Network for Video Saliency Detection. - Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura (MLSP, 2021)

FBNet: FeedBack-Recursive CNN for Saliency Detection. - Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura (MVA, 2021)

Anomaly detection in video sequences: A benchmark and computational model. - Boyang Wan; Wenhui Jiang; Yuming Fang; Zhiyuan Luo 002; Guanqun Ding (IET Image Process., 2021)

SalLiDAR: Saliency Knowledge Transfer Learning for 3D Point Cloud Understanding. - Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura (BMVC, 2022)

CertainOdom: Uncertainty Weighted Multi-task Learning Model for LiDAR Odometry Estimation. - Leyuan Sun; Guanqun Ding; Yusuke Yoshiyasu; Fumio Kanehiro (ROBIO, 2022)

SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks. - Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura (Image Vis. Comput., 2022)

TransFusionOdom: Interpretable Transformer-based LiDAR-Inertial Fusion Odometry Estimation. - Leyuan Sun; Guanqun Ding; Yue Qiu; Yusuke Yoshiyasu; Fumio Kanehiro (CoRR, 2023)

Attention-guided LiDAR segmentation and odometry using image-to-point cloud saliency transfer. - Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura (Multim. Syst., 2024)

Tumor segmentation and boundary fusion network via hierarchical cross-correlation learning. - Guanqun Ding; Kaiwen Yang; Leyuan Sun; Yuming Fang (Biomed. Signal Process. Control., 2025)

MPM-Net: Multi-task interactive network with progressive multi-granularity learning for herbal medicine recognition. - Kaiwen Yang; Guanqun Ding; Leyuan Sun; Jingzhong Chen; Guangying Du; Quan Zheng; Tao Zhang (Pattern Recognit., 2026)