activity
20142023
most citedA Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds

79 citations · 215 across the 35 of their papers we have counts for

collaborators

35 papers

cs.CV2023★ 1 cited

OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2

Feng Shuang, Yanpeng Zhu, Yupeng Xie +4

Looming detection plays an important role in insect collision prevention systems. As a vital capability evolutionary survival, it has been extensively studied in neuroscience and i…

cs.CV2022★ 2 cited

Spatio-Temporal Feedback Control of Small Target Motion Detection Visual System

Hongxin Wang, Zhiyan Zhong, Fang Lei +3

Feedback is crucial to motion perception in animals' visual systems where its spatial and temporal dynamics are often shaped by movement patterns of surrounding environments. Howev…

cs.CV2021★ 2 cited

DVM-CAR: A large-scale automotive dataset for visual marketing research and applications

Jingmin Huang, Bowei Chen, Lan Luo +2

There is a growing interest in product aesthetics analytics and design. However, the lack of available large-scale data that covers various variables and information is one of the…

cs.RO2021

Profiling Visual Dynamic Complexity Using a Bio-Robotic Approach

Qinbing Fu, Tian Liu, Xuelong Sun +4

Visual dynamic complexity is a ubiquitous, hidden attribute of the visual world that every dynamic vision system is faced with. However, it is implicit and intractable which has ne…

cs.CV2021★ 1 cited

Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets

Hongxin Wang, Jiannan Zhao, Huatian Wang +3

Small target motion detection within complex natural environments is an extremely challenging task for autonomous robots. Surprisingly, the visual systems of insects have evolved t…

q-bio.NC2020★ 29 cited

Modelling Drosophila Motion Vision Pathways for Decoding the Direction of Translating Objects Against Cluttered Moving Backgrounds

Qinbing Fu, Shigang Yue

Decoding the direction of translating objects in front of cluttered moving backgrounds, accurately and efficiently, is still a challenging problem. In nature, lightweight and low-p…

cs.RO2020

Complementary Visual Neuronal Systems Model for Collision Sensing

Qinbing Fu, Shigang Yue

Inspired by insects' visual brains, this paper presents original modelling of a complementary visual neuronal systems model for real-time and robust collision sensing. Two categori…

cs.AI2020

Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

Jiannan Zhao, Hongxin Wang, Shigang Yue

Collision detection is one of the most challenging tasks for Unmanned Aerial Vehicles (UAVs). This is especially true for small or micro UAVs, due to their limited computational po…

cs.CV2020★ 2 cited

A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments

Hongxin Wang, Huatian Wang, Jiannan Zhao +3

Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power. By…

cs.RO2019

ColCOS: A Multiple Pheromone Communication System for Swarm Robotics and Social Insects Research

Xuelong Sun, Tian Liu, Cheng Hu +2

In the last few decades we have witnessed how the pheromone of social insect has become a rich inspiration source of swarm robotics. By utilising the virtual pheromone in physical…

cs.RO2019

An LGMD Based Competitive Collision Avoidance Strategy for UAV

Jiannan Zhao, Xingzao Ma, Qinbing Fu +2

Building a reliable and efficient collision avoidance system for unmanned aerial vehicles (UAVs) is still a challenging problem. This research takes inspiration from locusts, which…

cs.NE2019

Synthetic Neural Vision System Design for Motion Pattern Recognition in Dynamic Robot Scenes

Qinbing Fu, Cheng Hu, Pengcheng Liu +1

Insects have tiny brains but complicated visual systems for motion perception. A handful of insect visual neurons have been computationally modeled and successfully applied for rob…

cs.CV2019★ 55 cited

A Robust Visual System for Small Target Motion Detection Against Cluttered Moving Backgrounds

Hongxin Wang, Jigen Peng, Xuqiang Zheng +1

Monitoring small objects against cluttered moving backgrounds is a huge challenge to future robotic vision systems. As a source of inspiration, insects are quite apt at searching f…

cs.RO2019

Constant Angular Velocity Regulation for Visually Guided Terrain Following

Huatian Wang, Qinbing Fu, Hongxin Wang +2

Insects use visual cues to control their flight behaviours. By estimating the angular velocity of the visual stimuli and regulating it to a constant value, honeybees can perform a…

q-bio.NC2019★ 3 cited

Angular Velocity Estimation of Image Motion Mimicking the Honeybee Tunnel Centring Behaviour

Huatian Wang, Qinbing Fu, Hongxin Wang +4

Insects use visual information to estimate angular velocity of retinal image motion, which determines a variety of flight behaviours including speed regulation, tunnel centring and…

cs.CV2019★ 1 cited

A Visual Neural Network for Robust Collision Perception in Vehicle Driving Scenarios

Qinbing Fu, Nicola Bellotto, Huatian Wang +3

This research addresses the challenging problem of visual collision detection in very complex and dynamic real physical scenes, specifically, the vehicle driving scenarios. This re…

cs.CV2019★ 1 cited

Towards Computational Models and Applications of Insect Visual Systems for Motion Perception: A Review

Qinbing Fu, Hongxin Wang, Cheng Hu +1

Motion perception is a critical capability determining a variety of aspects of insects' life, including avoiding predators, foraging and so forth. A good number of motion detectors…

cs.CV2019

Visual Cue Integration for Small Target Motion Detection in Natural Cluttered Backgrounds

Hongxin Wang, Jigen Peng, Qinbing Fu +2

The robust detection of small targets against cluttered background is important for future artificial visual systems in searching and tracking applications. The insects' visual sys…

cs.NE2018★ 1 cited

A Directionally Selective Neural Network with Separated ON and OFF Pathways for Translational Motion Perception in a Visually Cluttered Environment

Qinbing Fu, Nicola Bellotto, Shigang Yue

With respect to biological findings underlying fly's physiology in the past decade, we present a directionally selective neural network, with a feed-forward structure and entirely…

cs.NE2018★ 3 cited

A Feedback Neural Network for Small Target Motion Detection in Cluttered Backgrounds

Hongxin Wang, Jigen Peng, Shigang Yue

Small target motion detection is critical for insects to search for and track mates or prey which always appear as small dim speckles in the visual field. A class of specific neuro…

eess.SP2018

2D Reconstruction of Small Intestine's Interior Wall

Rahman Attar, Xiang Xie, Zhihua Wang +1

Examining and interpreting of a large number of wireless endoscopic images from the gastrointestinal tract is a tiresome task for physicians. A practical solution is to automatical…

cs.CV2018

A Resilient Image Matching Method with an Affine Invariant Feature Detector and Descriptor

Biao Zhao, Shigang Yue

Image feature matching is to seek, localize and identify the similarities across the images. The matched local features between different images can indicate the similarities of th…

cs.CV2018

An Improved LPTC Neural Model for Background Motion Direction Estimation

Hongxin Wang, Jigen Peng, Shigang Yue

A class of specialized neurons, called lobula plate tangential cells (LPTCs) has been shown to respond strongly to wide-field motion. The classic model, elementary motion detector…

cs.NE2018★ 7 cited

A Bio-inspired Collision Detecotr for Small Quadcopter

Jiannan Zhao, Cheng Hu, Chun Zhang +2

Sense and avoid capability enables insects to fly versatilely and robustly in dynamic complex environment. Their biological principles are so practical and efficient that inspired…