21 citations · 40 across the 6 of their papers we have counts for
6 papers
RO-MAP: Real-Time Multi-Object Mapping with Neural Radiance Fields
Xiao Han, Houxuan Liu, Yunchao Ding +1
Accurate perception of objects in the environment is important for improving the scene understanding capability of SLAM systems. In robotic and augmented reality applications, obje…
SQ-SLAM: Monocular Semantic SLAM Based on Superquadric Object Representation
Xiao Han, Lu Yang
Object SLAM uses additional semantic information to detect and map objects in the scene, in order to improve the system's perception and map representation capabilities. Quadrics a…
Center Prediction Loss for Re-identification
Lu Yang, Yunlong Wang, Lingqiao Liu +5
The training loss function that enforces certain training sample distribution patterns plays a critical role in building a re-identification (ReID) system. Besides the basic requir…
Vehicle Re-identification in Aerial Imagery: Dataset and Approach
Peng Wang, Bingliang Jiao, Lu Yang +4
In this work, we construct a large-scale dataset for vehicle re-identification (ReID), which contains 137k images of 13k vehicle instances captured by UAV-mounted cameras. To our k…
A Holistic Representation Guided Attention Network for Scene Text Recognition
Lu Yang, Fan Dang, Peng Wang +3
Reading irregular scene text of arbitrary shape in natural images is still a challenging problem, despite the progress made recently. Many existing approaches incorporate sophistic…
Detector-in-Detector: Multi-Level Analysis for Human-Parts
Xiaojie Li, Lu Yang, Qing Song +1
Vision-based person, hand or face detection approaches have achieved incredible success in recent years with the development of deep convolutional neural network (CNN). In this pap…