1 citations · 1 across the 5 of their papers we have counts for
5 papers
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1
Rapid, accurate and robust detection of looming objects in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform collision det…
A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1
Robust and accurate detection of small moving targets in cluttered moving backgrounds is a significant and challenging problem for robotic visual systems to perform search and trac…
A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity
Peijie Yin, Hong Qiao, Wei Wu +4
Integration between biology and information science benefits both fields. Many related models have been proposed, such as computational visual cognition models, computational motor…
Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability
Wei Wu, Hong Qiao, Jiahao Chen +2
In recent years, the interdisciplinary research between information science and neuroscience has been a hotspot. In this paper, based on recent biological findings, we proposed a n…
Introducing Memory and Association Mechanism into a Biologically Inspired Visual Model
Qiao Hong, Li Yinlin, Tang Tang +1
A famous biologically inspired hierarchical model firstly proposed by Riesenhuber and Poggio has been successfully applied to multiple visual recognition tasks. The model is able t…