9 citations · 12 across the 10 of their papers we have counts for
7 papers · 1 filter
Nonlinear Motion-Guided and Spatio-Temporal Aware Network for Unsupervised Event-Based Optical Flow
Zuntao Liu, Hao Zhuang, Junjie Jiang +2
Event cameras have the potential to capture continuous motion information over time and space, making them well-suited for optical flow estimation. However, most existing learning-…
Optimal Brain Apoptosis
Mingyuan Sun, Zheng Fang, Jiaxu Wang +5
The increasing complexity and parameter count of Convolutional Neural Networks (CNNs) and Transformers pose challenges in terms of computational efficiency and resource demands. Pr…
EV-MGDispNet: Motion-Guided Event-Based Stereo Disparity Estimation Network with Left-Right Consistency
Junjie Jiang, Hao Zhuang, Xinjie Huang +2
Event cameras have the potential to revolutionize the field of robot vision, particularly in areas like stereo disparity estimation, owing to their high temporal resolution and hig…
Spike-EVPR: Deep Spiking Residual Networks with SNN-Tailored Representations for Event-Based Visual Place Recognition
Zuntao Liu, Yaohui Li, Chenming Hu +3
Event cameras are ideal for visual place recognition (VPR) in challenging environments due to their high temporal resolution and high dynamic range. However, existing methods conve…
EV-MGRFlowNet: Motion-Guided Recurrent Network for Unsupervised Event-based Optical Flow with Hybrid Motion-Compensation Loss
Hao Zhuang, Xinjie Huang, Kuanxu Hou +3
Event cameras offer promising properties, such as high temporal resolution and high dynamic range. These benefits have been utilized into many machine vision tasks, especially opti…
FE-Fusion-VPR: Attention-based Multi-Scale Network Architecture for Visual Place Recognition by Fusing Frames and Events
Kuanxu Hou, Delei Kong, Junjie Jiang +3
Traditional visual place recognition (VPR), usually using standard cameras, is easy to fail due to glare or high-speed motion. By contrast, event cameras have the advantages of low…
RGB-D SLAM in Dynamic Environments Using Point Correlations
Weichen Dai, Yu Zhang, Ping Li +2
In this paper, a simultaneous localization and mapping (SLAM) method that eliminates the influence of moving objects in dynamic environments is proposed. This method utilizes the c…