Rui Huang
Latest
- Exemplar-based image saliency and co-saliency detection (Neurocomputing, 2020)
- Learning multi-path CNN for mural deterioration detection (J. Ambient Intell. Humaniz. Comput., 2020)
- Image saliency and co-saliency detection by low-rank multiscale fusion (Int. J. High Perform. Syst. Archit., 2019)
- Multiscale blur detection by learning discriminative deep features (Neurocomputing, 2018)
- Color Feature Reinforcement for Cosaliency Detection Without Single Saliency Residuals (IEEE Signal Process. Lett., 2017)
- Image blur classification and blur usefulness assessment (2017 IEEE International Conference on Multimedia & Expo Workshops, 2017)
- Learning Dynamic Siamese Network for Visual Object Tracking (ICCV 2017, 2017)
- Learning to Detect Fine-Grained Change Under Variant Imaging Conditions (2017 IEEE International Conference on Computer Vision Workshops, 2017)
- Saliency and co-saliency detection by low-rank multiscale fusion (2015 IEEE International Conference on Multimedia and Expo, 2015)
- Feature selection based saliency object detection (2013 IEEE International Conference on Multimedia and Expo Workshops, 2014)