no code implementations • 28 Aug 2023 • Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
To address these challenges, we propose a saliency-guided approach that leverages attention information to improve the performance of LiDAR odometry estimation and semantic segmentation models.
1 code implementation • 16 Apr 2023 • Leyuan Sun, Guanqun Ding, Yue Qiu, Yusuke Yoshiyasu, Fumio Kanehiro
A synthetic multi-modal dataset is made public to validate the generalization ability of the proposed fusion strategy, which also works for other combinations of different modalities.
1 code implementation • 7 Dec 2021 • Guanqun Ding, Nevrez Imamoglu, Ali Caglayan, Masahiro Murakawa, Ryosuke Nakamura
We first use the proposed feedback model to learn saliency distribution from pseudo-ground-truth.
1 code implementation • 16 Jun 2021 • Boyang Wan, Wenhui Jiang, Yuming Fang, Zhiyuan Luo, Guanqun Ding
2) It provides the annotation data, including video-level labels (abnormal/normal video, anomaly type) and frame-level labels (abnormal/normal video frame) to facilitate anomaly detection.
1 code implementation • 28 Feb 2019 • Nevrez Imamoglu, Guanqun Ding, Yuming Fang, Asako Kanezaki, Toru Kouyama, Ryosuke Nakamura
Various saliency detection algorithms from color images have been proposed to mimic eye fixation or attentive object detection response of human observers for the same scenes.
1 code implementation • 12 Jul 2018 • Yuming Fang, Guanqun Ding, Yuan Yuan, Weisi Lin, Haiwen Liu
In this study, we conduct the research on the robustness of pedestrian detection algorithms to video quality degradation.
no code implementations • 12 Jul 2018 • Guanqun Ding, Yuming Fang
Different from salient object detection methods for still images, a key challenging for video saliency detection is how to extract and combine spatial and temporal features.
2 code implementations • 29 Jun 2018 • Nevrez Imamoglu, Yu Oishi, Xiaoqiang Zhang, Guanqun Ding, Yuming Fang, Toru Kouyama, Ryosuke Nakamura
Many works have been done on salient object detection using supervised or unsupervised approaches on colour images.