6 citations · 15 across the 14 of their papers we have counts for
14 papers
VOLoc: Visual Place Recognition by Querying Compressed Lidar Map
Xudong Cai, Yongcai Wang, Zhe Huang +2
The availability of city-scale Lidar maps enables the potential of city-scale place recognition using mobile cameras. However, the city-scale Lidar maps generally need to be compre…
Parameter-efficient Prompt Learning for 3D Point Cloud Understanding
Hongyu Sun, Yongcai Wang, Wang Chen +2
This paper presents a parameter-efficient prompt tuning method, named PPT, to adapt a large multi-modal model for 3D point cloud understanding. Existing strategies are quite expens…
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding
Hongyu Sun, Yongcai Wang, Peng Wang +2
This paper presents ViewFormer, a simple yet effective model for multi-view 3d shape recognition and retrieval. We systematically investigate the existing methods for aggregating m…
AirBirds: A Large-scale Challenging Dataset for Bird Strike Prevention in Real-world Airports
Hongyu Sun, Yongcai Wang, Xudong Cai +5
One fundamental limitation to the research of bird strike prevention is the lack of a large-scale dataset taken directly from real-world airports. Existing relevant datasets are ei…
IDLS: Inverse Depth Line based Visual-Inertial SLAM
Wanting Li, Shuo Wang, Yongcai Wang +3
For robust visual-inertial SLAM in perceptually-challenging indoor environments,recent studies exploit line features to extract descriptive information about scene structure to dea…
ViPFormer: Efficient Vision-and-Pointcloud Transformer for Unsupervised Pointcloud Understanding
Hongyu Sun, Yongcai Wang, Xudong Cai +2
Recently, a growing number of work design unsupervised paradigms for point cloud processing to alleviate the limitation of expensive manual annotation and poor transferability of s…
Featured Trajectory Generation for TrackPuzzle
Wanting Li, Yongcai Wang, Deying Li
Indoor route graph learning is critically important for autonomous indoor navigation. A key problem for crowd-sourcing indoor route graph learning is featured trajectory generation…
DCG: Distributed Conjugate Gradient for Efficient Linear Equations Solving
Haodi Ping, Yongcai Wang, Deying Li
Distributed algorithms to solve linear equations in multi-agent networks have attracted great research attention and many iteration-based distributed algorithms have been developed…
IMF: Iterative Max-Flow for Node Localizability Detection in Barycentric Linear Localization
Haodi Ping, Yongcai Wang, Deying Li
Determining whether nodes can be uniquely localized, called localizability detection, is a concomitant problem of network localization. Localizability under traditional Non-Linear…
Robust Component-based Network Localization with Noisy Range Measurements
Tianyuan Sun, Yongcai Wang, Deying Li +2
Accurate and robust localization is crucial for wireless ad-hoc and sensor networks. Among the localization techniques, component-based methods advance themselves for conquering ne…
Locating Multiple Ultrasound Targets in Chorus
Lei Song, Yongcai Wang
Ranging by Time of Arrival (TOA) of Narrow-band ultrasound (NBU) has been widely used by many locating systems for its characteristics of low cost and high accuracy. However, becau…
Hybrid Radio-map for Noise Tolerant Wireless Indoor Localization
Xiongfeng Geng, Yongcai Wang, Haoran Feng +1
In wireless networks, radio-map based locating techniques are commonly used to cope the complex fading feature of radio signal, in which a radio-map is built by calibrating receive…
SEED: Public Energy and Environment Dataset for Optimizing HVAC Operation in Subway Stations
Yongcai Wang, Haoran Feng, Xiao Qi
For sustainability and energy saving, the problem to optimize the control of heating, ventilating, and air-conditioning (HVAC) systems has attracted great attentions, but analyzing…
Sense, Model and Identify the Load Signatures of HVAC Systems in Metro Stations
Yongcai Wang, Haoran Feng, Xiangyu Xi
The HVAC systems in subway stations are energy consuming giants, each of which may consume over 10, 000 Kilowatts per day for cooling and ventilation. To save energy for the HVAC s…