6 citations · 20 across the 23 of their papers we have counts for
12 papers · 1 filter
Learning 1-Bit LiDAR-based Localization with Auxiliary Objective
Kaijie Yin, Zhiyuan Zhang, Tian Gao +3
6-DoF LiDAR-based localization is a fundamental capability for autonomous systems operating in large-scale outdoor environments. Many deep-learning-based localization methods have…
Information-Bottleneck Driven Binary Neural Network for Change Detection
Kaijie Yin, Zhiyuan Zhang, Shu Kong +3
In this paper, we propose Binarized Change Detection (BiCD), the first binary neural network (BNN) designed specifically for change detection. Conventional network binarization app…
High-Fidelity Differential-information Driven Binary Vision Transformer
Tian Gao, Zhiyuan Zhang, Kaijie Yin +2
The binarization of vision transformers (ViTs) offers a promising approach to addressing the trade-off between high computational/storage demands and the constraints of edge-device…
BHViT: Binarized Hybrid Vision Transformer
Tian Gao, Zhiyuan Zhang, Yu Zhang +4
Model binarization has made significant progress in enabling real-time and energy-efficient computation for convolutional neural networks (CNN), offering a potential solution to th…
Why semantics matters: A deep study on semantic particle-filtering localization in a LiDAR semantic pole-map
Yuming Huang, Yi Gu, Chengzhong Xu +1
In most urban and suburban areas, pole-like structures such as tree trunks or utility poles are ubiquitous. These structural landmarks are very useful for the localization of auton…
GSB: Group Superposition Binarization for Vision Transformer with Limited Training Samples
Tian Gao, Cheng-Zhong Xu, Le Zhang +1
Vision Transformer (ViT) has performed remarkably in various computer vision tasks. Nonetheless, affected by the massive amount of parameters, ViT usually suffers from serious over…
MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation
Yi Gu, Yuming Huang, Chengzhong Xu +1
Range-view based LiDAR segmentation methods are attractive for practical applications due to their direct inheritance from efficient 2D CNN architectures. In literature, most range…
Unsupervised Visible-light Images Guided Cross-Spectrum Depth Estimation from Dual-Modality Cameras
Yubin Guo, Haobo Jiang, Xinlei Qi +3
Cross-spectrum depth estimation aims to provide a depth map in all illumination conditions with a pair of dual-spectrum images. It is valuable for autonomous vehicle applications w…
HiTPR: Hierarchical Transformer for Place Recognition in Point Cloud
Zhixing Hou, Yan Yan, Chengzhong Xu +1
Place recognition or loop closure detection is one of the core components in a full SLAM system. In this paper, aiming at strengthening the relevancy of local neighboring points an…
Learning Moving-Object Tracking with FMCW LiDAR
Yi Gu, Hongzhi Cheng, Kafeng Wang +3
In this paper, we propose a learning-based moving-object tracking method utilizing our newly developed LiDAR sensor, Frequency Modulated Continuous Wave (FMCW) LiDAR. Compared with…
One Shot Face Swapping on Megapixels
Yuhao Zhu, Qi Li, Jian Wang +2
Face swapping has both positive applications such as entertainment, human-computer interaction, etc., and negative applications such as DeepFake threats to politics, economics, etc…
Frontier Detection and Reachability Analysis for Efficient 2D Graph-SLAM Based Active Exploration
Zezhou Sun, Banghe Wu, Cheng-Zhong Xu +3
We propose an integrated approach to active exploration by exploiting the Cartographer method as the base SLAM module for submap creation and performing efficient frontier detectio…