Baijun Ye
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View article: CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting
CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting Open
Vehicle-to-everything (V2X) communication plays a crucial role in autonomous driving, enabling cooperation between vehicles and infrastructure. While simulation has significantly contributed to various autonomous driving tasks, its potenti…
View article: Integer Binary-Range Alignment Neuron for Spiking Neural Networks
Integer Binary-Range Alignment Neuron for Spiking Neural Networks Open
Spiking Neural Networks (SNNs) are noted for their brain-like computation and energy efficiency, but their performance lags behind Artificial Neural Networks (ANNs) in tasks like image classification and object detection due to the limited…
View article: VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion
VR-Robo: A Real-to-Sim-to-Real Framework for Visual Robot Navigation and Locomotion Open
Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed in real-world environments due to sim-to-real ga…
View article: THE APPLICATION OF SPECTRAL ANALYSIS OF EEG DATA FOR THE IDENTIFICATION OF OPEN AND CLOSED EYE STATES
THE APPLICATION OF SPECTRAL ANALYSIS OF EEG DATA FOR THE IDENTIFICATION OF OPEN AND CLOSED EYE STATES Open
The article examines the analysis of electroencephalogram (EEG) data for the classification of open and closed eye states using the Fast Fourier Transform (FFT). It is shown that this method demonstrates stable recognition accuracy at the …
View article: A hybrid attention multi-scale fusion network for real-time semantic segmentation
A hybrid attention multi-scale fusion network for real-time semantic segmentation Open
In semantic segmentation research, spatial information and receptive fields are essential. However, currently, most algorithms focus on acquiring semantic information and lose a significant amount of spatial information, leading to a signi…
View article: Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes
Dual Attention Dual-Resolution Networks for Real-Time Semantic Segmentation of Street Scenes Open
Semantic segmentation is a crucial technology for autonomous vehicles to acquire information about their surrounding environment. To ensure that semantic segmentation has practical application value in autonomous driving and robotics, it m…
View article: Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty
Drone-assisted Road Gaussian Splatting with Cross-view Uncertainty Open
Robust and realistic rendering for large-scale road scenes is essential in autonomous driving simulation. Recently, 3D Gaussian Splatting (3D-GS) has made groundbreaking progress in neural rendering, but the general fidelity of large-scale…
View article: Spectrally Pruned Gaussian Fields with Neural Compensation
Spectrally Pruned Gaussian Fields with Neural Compensation Open
Recently, 3D Gaussian Splatting, as a novel 3D representation, has garnered attention for its fast rendering speed and high rendering quality. However, this comes with high memory consumption, e.g., a well-trained Gaussian field may utiliz…