4 citations · 9 across the 5 of their papers we have counts for
5 papers
S2AFormer: Strip Self-Attention for Efficient Vision Transformer
Guoan Xu, Wenfeng Huang, Wenjing Jia +3
Vision Transformer (ViT) has made significant advancements in computer vision, thanks to its token mixer's sophisticated ability to capture global dependencies between all tokens.…
Fast Extrinsic Calibration for Multiple Inertial Measurement Units in Visual-Inertial System
Youwei Yu, Yanqing Liu, Fengjie Fu +5
In this paper, we propose a fast extrinsic calibration method for fusing multiple inertial measurement units (MIMU) to improve visual-inertial odometry (VIO) localization accuracy.…
Unsupervised Monocular Depth Estimation Based on Hierarchical Feature-Guided Diffusion
Runze Liu, Dongchen Zhu, Guanghui Zhang +5
Unsupervised monocular depth estimation has received widespread attention because of its capability to train without ground truth. In real-world scenarios, the images may be blurry…
SASO: Joint 3D Semantic-Instance Segmentation via Multi-scale Semantic Association and Salient Point Clustering Optimization
Jingang Tan, Lili Chen, Kangru Wang +3
We propose a novel 3D point cloud segmentation framework named SASO, which jointly performs semantic and instance segmentation tasks. For semantic segmentation task, inspired by th…
3DCFS: Fast and Robust Joint 3D Semantic-Instance Segmentation via Coupled Feature Selection
Liang Du, Jingang Tan, Xiangyang Xue +5
We propose a novel fast and robust 3D point clouds segmentation framework via coupled feature selection, named 3DCFS, that jointly performs semantic and instance segmentation. Insp…