activity
20202026
most citedEvent-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

SMR-Net:Robot Snap Detection Based on Multi-Scale Features and Self-Attention Network

Kuanxu Hou

In robot automated assembly, snap assembly precision and efficiency directly determine overall production quality. As a core prerequisite, snap detection and localization criticall…

cs.CV2023

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…

cs.CV2022

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…

cs.RO2022★ 2 cited

Neuro-Planner: A 3D Visual Navigation Method for MAV with Depth Camera based on Neuromorphic Reinforcement Learning

Junjie Jiang, Delei Kong, Kuanxv Hou +3

Traditional visual navigation methods of micro aerial vehicle (MAV) usually calculate a passable path that satisfies the constraints depending on a prior map. However, these method…

cs.CV2020★ 2 cited

Event-VPR: End-to-End Weakly Supervised Network Architecture for Event-based Visual Place Recognition

Delei Kong, Zheng Fang, Haojia Li +3

Traditional visual place recognition (VPR) methods generally use frame-based cameras, which is easy to fail due to dramatic illumination changes or fast motions. In this paper, we…