Jifeng Shen
Orcid: 0000-0002-4356-1831
According to our database1,
Jifeng Shen
authored at least 34 papers
between 2010 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition.
Pattern Recognit., April, 2024
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection.
Pattern Recognit., January, 2024
2023
EfficientFace: an efficient deep network with feature enhancement for accurate face detection.
Multim. Syst., October, 2023
Improving multispectral pedestrian detection with scale-aware permutation attention and adjacent feature aggregation.
IET Comput. Vis., October, 2023
LGADet: Light-weight Anchor-free Multispectral Pedestrian Detection with Mixed Local and Global Attention.
Neural Process. Lett., June, 2023
Segmentation and recognition of filed sweet pepper based on improved self-attention convolutional neural networks.
Multim. Syst., 2023
2022
Beet seedling and weed recognition based on convolutional neural network and multi-modality images.
Multim. Tools Appl., 2022
Comput. Electr. Eng., 2022
Wheat head counting in the wild by an augmented feature pyramid networks-based convolutional neural network.
Comput. Electron. Agric., 2022
2021
Apple Leaf Disease Recognition and Sub-Class Categorization Based on Improved Multi-Scale Feature Fusion Network.
IEEE Access, 2021
2020
Detection of tomato organs based on convolutional neural network under the overlap and occlusion backgrounds.
Mach. Vis. Appl., 2020
IET Comput. Vis., 2020
2019
IEEE Trans. Intell. Transp. Syst., 2019
IEEE Trans. Intell. Transp. Syst., 2019
Proceedings of the Intelligence Science and Big Data Engineering. Visual Data Engineering, 2019
2018
Neural Process. Lett., 2018
Mob. Networks Appl., 2018
Neurocomputing, 2018
2017
A novel pixel neighborhood differential statistic feature for pedestrian and face detection.
Pattern Recognit., 2017
Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection.
Neural Process. Lett., 2017
Using LFDA to Learn Subset-Haar-Like Intermediate Feature Weights for Pedestrian Detection.
Proceedings of the Intelligence Science and Big Data Engineering, 2017
2016
ODOC-ELM: Optimal decision outputs compensation-based extreme learning machine for classifying imbalanced data.
Knowl. Based Syst., 2016
Learning discriminative shape statistics distribution features for pedestrian detection.
Neurocomputing, 2016
Understanding software reengineering requirements for cloud-oriented service architecture.
Proceedings of the 22nd International Conference on Automation and Computing, 2016
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016
2015
Proceedings of the Advances in Neural Networks - ISNN 2015, 2015
2014
Proceedings of the Pattern Recognition - 6th Chinese Conference, 2014
2013
Real-time human detection based on gentle MILBoost with variable granularity HOG-CSLBP.
Neural Comput. Appl., 2013
2012
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2012
2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
Proceedings of the 20th International Conference on Pattern Recognition, 2010