1 citations · 1 across the 7 of their papers we have counts for
7 papers
ConFi-GS Confidence-Guided High-Frequency Injection for 3D Gaussian Splatting Super-Resolution
Jiaxiang Li, Zongtan Zhou, Zhen Tan +2
Reconstructing high-quality 3D scenes from low-resolution multi-view images remains challenging for 3D Gaussian Splatting (3DGS), because insufficient high-frequency observations o…
TD-NeRF: Novel Truncated Depth Prior for Joint Camera Pose and Neural Radiance Field Optimization
Zhen Tan, Zongtan Zhou, Yangbing Ge +3
The reliance on accurate camera poses is a significant barrier to the widespread deployment of Neural Radiance Fields (NeRF) models for 3D reconstruction and SLAM tasks. The existi…
Spatio-Temporal Calibration for Omni-Directional Vehicle-Mounted Event Cameras
Xiao Li, Yi Zhou, Ruibin Guo +3
We present a solution to the problem of spatio-temporal calibration for event cameras mounted on an onmi-directional vehicle. Different from traditional methods that typically dete…
Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces
Xinbin Liang, Yaru Liu, Yang Yu +3
Objective: Convolutional Neural Networks (CNNs) have shown great potential in the field of Brain-Computer Interfaces (BCIs). The raw Electroencephalogram (EEG) signal is usually re…
EEG-Based Detection of Braking Intention During Simulated Driving
Xinbin Liang, Yang Yu, Yadong Liu +3
Accurately detecting and identifying drivers' braking intention is the basis of man-machine driving. In this paper, we proposed an electroencephalographic (EEG)-based braking inten…
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
Zhiqian Zhou, Pengming Zhu, Zhiwen Zeng +3
It is still an open and challenging problem for mobile robots navigating along time-efficient and collision-free paths in a crowd. The main challenge comes from the complex and sop…
On the role of a priori knowledge in the optimization of quantum information processing
Ming Zhang, Min Lin, S. G. Schirmer +3
This paper explores the role of a priori knowledge in the optimization of quantum information processing by investigating optimum unambiguous discrimination problems for both the q…