activity
20232026
most citedNeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising

31 citations · 56 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds

Yanbo Wang, Wentao Zhao, Chuan Cao +3

Although LiDAR semantic segmentation advances rapidly, state-of-the-art methods often incorporate specifically designed inductive bias derived from benchmarks originating from mech…

cs.RO2024★ 2 cited

Multi-Modal UAV Detection, Classification and Tracking Algorithm -- Technical Report for CVPR 2024 UG2 Challenge

Tianchen Deng, Yi Zhou, Wenhua Wu +9

This technical report presents the 1st winning model for UG2+, a task in CVPR 2024 UAV Tracking and Pose-Estimation Challenge. This challenge faces difficulties in drone detection,…

cs.CV2024★ 9 cited

Incremental Joint Learning of Depth, Pose and Implicit Scene Representation on Monocular Camera in Large-scale Scenes

Tianchen Deng, Nailin Wang, Chongdi Wang +5

Dense scene reconstruction for photo-realistic view synthesis has various applications, such as VR/AR, autonomous vehicles. However, most existing methods have difficulties in larg…

cs.CV2024★ 31 cited

NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising

Tianchen Deng, Yanbo Wang, Hongle Xie +4

In recent years, there have been significant advancements in 3D reconstruction and dense RGB-D SLAM systems. One notable development is the application of Neural Radiance Fields (N…

cs.CV2024★ 7 cited

Compact 3D Gaussian Splatting For Dense Visual SLAM

Tianchen Deng, Chang Nie, Shuhong Liu +6

Recent work has shown that 3D Gaussian-based SLAM enables high-quality reconstruction, accurate pose estimation, and real-time rendering of scenes. However, these approaches are bu…