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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

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12 papers · 1 filter

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.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…

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.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.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.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.CV2018★ 79 cited

A Directionally Selective Small Target Motion Detecting Visual Neural Network in Cluttered Backgrounds

Hongxin Wang, Jigen Peng, Shigang Yue

Discriminating targets moving against a cluttered background is a huge challenge, let alone detecting a target as small as one or a few pixels and tracking it in flight. In the fly…