10 citations · 14 across the 8 of their papers we have counts for
8 papers
PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects
Guangcheng Chen, Yicheng He, Li He +1
Neural implicit surface reconstruction has achieved remarkable progress recently. Despite resorting to complex radiance modeling, state-of-the-art methods still struggle with textu…
SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation
Zhenchao Lin, Li He, Hongqiang Yang +5
Large-scale point cloud consists of a multitude of individual objects, thereby encompassing rich structural and underlying semantic contextual information, resulting in a challengi…
Person Re-Identification for Robot Person Following with Online Continual Learning
Hanjing Ye, Jieting Zhao, Yu Zhan +3
Robot person following (RPF) is a crucial capability in human-robot interaction (HRI) applications, allowing a robot to persistently follow a designated person. In practical RPF sc…
Robot Person Following Under Partial Occlusion
Hanjing Ye, Jieting Zhao, Yaling Pan +3
Robot person following (RPF) is a capability that supports many useful human-robot-interaction (HRI) applications. However, existing solutions to person following often assume full…
NDD: A 3D Point Cloud Descriptor Based on Normal Distribution for Loop Closure Detection
Ruihao Zhou, Li He, Hong Zhang +2
Loop closure detection is a key technology for long-term robot navigation in complex environments. In this paper, we present a global descriptor, named Normal Distribution Descript…
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
Guangcheng Chen, Li He, Yisheng Guan +1
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assu…
Mapping While Following: 2D LiDAR SLAM in Indoor Dynamic Environments with a Person Tracker
Hanjing Ye, Guangcheng Chen, Weinan Chen +3
2D LiDAR SLAM (Simultaneous Localization and Mapping) is widely used in indoor environments due to its stability and flexibility. However, its mapping procedure is usually operated…
Condition-Invariant and Compact Visual Place Description by Convolutional Autoencoder
Hanjing Ye, Weinan Chen, Jingwen Yu +3
Visual place recognition (VPR) in condition-varying environments is still an open problem. Popular solutions are CNN-based image descriptors, which have been shown to outperform tr…