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Qingqun Kong

Showing results (1-10 of 9) with videos related to

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Frontiers in Computational Neuroscience|May 16, 2018
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision SystemXiaomei Kang, Qingqun Kong, Yi Zeng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 6, 2018
Efficient coding matters in the organization of the early visual systemQingqun Kong, Jiuqi Han, Yi Zeng, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 25, 2014
Receptive fields selection for binary feature descriptionBin Fan, Qingqun Kong, Tomasz Trzcinski, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 21, 2024
Similarity-based context aware continual learning for spiking neural networksBing Han, Feifei Zhao, Yang Li, et al.
Science Advances|June 5, 2026
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceXiang He, Dongcheng Zhao, Yang Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 11, 2019
A Performance Evaluation of Local Features for Image-Based 3D ReconstructionBin Fan, Qingqun Kong, Xinchao Wang, et al.
Scientific Data|July 8, 2025
MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenesShiyan Li, Qingqun Kong, Xuan Gao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 13, 2022
Learning Semantic-Aware Local Features for Long Term Visual LocalizationBin Fan, Junjie Zhou, Wensen Feng, et al.
Patterns (New York, N.Y.)|August 21, 2023
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulationYi Zeng, Dongcheng Zhao, Feifei Zhao, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|May 16, 2018
A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision SystemXiaomei Kang, Qingqun Kong, Yi Zeng, et al.
Neural Networks : the Official Journal of the International Neural Network Society|June 6, 2018
Efficient coding matters in the organization of the early visual systemQingqun Kong, Jiuqi Han, Yi Zeng, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 25, 2014
Receptive fields selection for binary feature descriptionBin Fan, Qingqun Kong, Tomasz Trzcinski, et al.
Neural Networks : the Official Journal of the International Neural Network Society|December 21, 2024
Similarity-based context aware continual learning for spiking neural networksBing Han, Feifei Zhao, Yang Li, et al.
Science Advances|June 5, 2026
Incorporating brain-inspired mechanisms for multimodal learning in artificial intelligenceXiang He, Dongcheng Zhao, Yang Li, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|April 11, 2019
A Performance Evaluation of Local Features for Image-Based 3D ReconstructionBin Fan, Qingqun Kong, Xinchao Wang, et al.
Scientific Data|July 8, 2025
MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenesShiyan Li, Qingqun Kong, Xuan Gao, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|July 13, 2022
Learning Semantic-Aware Local Features for Long Term Visual LocalizationBin Fan, Junjie Zhou, Wensen Feng, et al.
Patterns (New York, N.Y.)|August 21, 2023
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulationYi Zeng, Dongcheng Zhao, Feifei Zhao, et al.
Pageof 1