Qingqun Kong

Orcid: 0000-0002-8565-549X

According to our database1, Qingqun Kong authored at least 20 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Brain-inspired and Self-based Artificial Intelligence.
CoRR, 2024

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
BrainCog: A spiking neural network based, brain-inspired cognitive intelligence engine for brain-inspired AI and brain simulation.
Patterns, August, 2023

Adaptive Reorganization of Neural Pathways for Continual Learning with Spiking Neural Networks.
CoRR, 2023

MSAT: Biologically Inspired Multi-Stage Adaptive Threshold for Conversion of Spiking Neural Networks.
CoRR, 2023

Improving the Performance of Spiking Neural Networks on Event-based Datasets with Knowledge Transfer.
CoRR, 2023

2022
Learning Semantic-Aware Local Features for Long Term Visual Localization.
IEEE Trans. Image Process., 2022

Spike Calibration: Fast and Accurate Conversion of Spiking Neural Network for Object Detection and Segmentation.
CoRR, 2022

2020
A Brain-Inspired Visual Fear Responses Model for UAV Emergent Obstacle Dodging.
IEEE Trans. Cogn. Dev. Syst., 2020

Efficient nearest neighbor search in high dimensional hamming space.
Pattern Recognit., 2020

2019
A Performance Evaluation of Local Features for Image-Based 3D Reconstruction.
IEEE Trans. Image Process., 2019

2018
Efficient coding matters in the organization of the early visual system.
Neural Networks, 2018

A Fast Contour Detection Model Inspired by Biological Mechanisms in Primary Vision System.
Frontiers Comput. Neurosci., 2018

Traffic Sign Image Synthesis with Generative Adversarial Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

2016
Do We Need Binary Features for 3D Reconstruction?
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
HEVS: A hierarchical computational model for Early stages of the Visual System.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Biologically inspired deep stereo model.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2014
Receptive Fields Selection for Binary Feature Description.
IEEE Trans. Image Process., 2014

2013
Registration of Optical and SAR Satellite Images by Exploring the Spatial Relationship of the Improved SIFT.
IEEE Geosci. Remote. Sens. Lett., 2013

Learning weighted Hamming distance for binary descriptors.
Proceedings of the IEEE International Conference on Acoustics, 2013


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