activity
20182025
most citedRGB-D SLAM in Dynamic Environments Using Point Correlations

9 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

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-…

cs.CV2025

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…

cs.RO2024

Fully Asynchronous Neuromorphic Perception for Mobile Robot Dodging with Loihi Chips

Junjie Jiang, Delei Kong, Chenming Hu +1

Sparse and asynchronous sensing and processing in natural organisms lead to ultra low-latency and energy-efficient perception. Event cameras, known as neuromorphic vision sensors,…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…

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.AI2022

Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes

Zheng Fang, Biao Zhao, Guizhong Liu

Many scenes in real life can be abstracted to the sparse reward visual scenes, where it is difficult for an agent to tackle the task under the condition of only accepting images an…

cs.CV2018★ 9 cited

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…