42 citations · 43 across the 9 of their papers we have counts for
9 papers
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
Yu Chen, Jing Lian, Zhaofei Yu +3
Event cameras are bio-inspired vision sensor that encode visual information with high dynamic range, high temporal resolution, and low latency.Current state-of-the-art event stream…
Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder
Dang Jisheng, Wu Xudong, Wang Bimei +7
Existing video segmenter and grounder approaches, exemplified by Sa2VA, directly fuse features within segmentation models. This often results in an undesirable entanglement of dyna…
BIMII-Net: Brain-Inspired Multi-Iterative Interactive Network for RGB-T Road Scene Semantic Segmentation
Hanshuo Qiu, Jie Jiang, Ruoli Yang +2
RGB-T road scene semantic segmentation enhances visual scene understanding in complex environments characterized by inadequate illumination or occlusion by fusing information from…
Securing Satellite Communications: Real-Time Video Encryption Scheme on Satellite Payloads
Hanshuo Qiu, Jing Lian, Xiaoyuan Wang +1
The rapid development of low-Earth orbit (LEO) satellite constellations and satellite communication systems has elevated the importance of secure video transmission, which is the k…
Chaos in Motion: Unveiling Robustness in Remote Heart Rate Measurement through Brain-Inspired Skin Tracking
Jie Wang, Jing Lian, Minjie Ma +4
Heart rate is an important physiological indicator of human health status. Existing remote heart rate measurement methods typically involve facial detection followed by signal extr…
Deep Pulse-Coupled Neural Networks
Zexiang Yi, Jing Lian, Yunliang Qi +4
Spiking Neural Networks (SNNs) capture the information processing mechanism of the brain by taking advantage of spiking neurons, such as the Leaky Integrate-and-Fire (LIF) model ne…
InvKA: Gait Recognition via Invertible Koopman Autoencoder
Fan Li, Dong Liang, Jing Lian +3
Most current gait recognition methods suffer from poor interpretability and high computational cost. To improve interpretability, we investigate gait features in the embedding spac…
The Butterfly Effect in Primary Visual Cortex
Jizhao Liu, Jing Lian, J C Sprott +2
Exploring and establishing artificial neural networks with electrophysiological characteristics and high computational efficiency is a popular topic in the field of computer vision…
The Similarity of Dynamic behavior between Different Chaotic Systems
Liu Jizhao, Zhang Xiangzi, Lian Jing +3
Chaos is associated with stochasticity, complex, irregular motion, etc. It has some peculiar properties such as ergodicity, highly initial value sensitivity, non-periodicity and lo…