35 citations · 147 across the 15 of their papers we have counts for
16 papers
Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction
Lin Zhu, Yunlong Zheng, Yijun Zhang +3
Event-based video reconstruction has garnered increasing attention due to its advantages, such as high dynamic range and rapid motion capture capabilities. However, current methods…
Social Force Embedded Mixed Graph Convolutional Network for Multi-class Trajectory Prediction
Quancheng Du, Xiao Wang, Shouguo Yin +2
Accurate prediction of agent motion trajectories is crucial for autonomous driving, contributing to the reduction of collision risks in human-vehicle interactions and ensuring ampl…
S4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles
Xiao Wang, Ke Tang, Xingyuan Dai +5
In public roads, autonomous vehicles (AVs) face the challenge of frequent interactions with human-driven vehicles (HDVs), which render uncertain driving behavior due to varying soc…
Multi-Scale Subgraph Contrastive Learning
Yanbei Liu, Yu Zhao, Xiao Wang +2
Graph-level contrastive learning, aiming to learn the representations for each graph by contrasting two augmented graphs, has attracted considerable attention. Previous studies usu…
The Survey on Multi-Source Data Fusion in Cyber-Physical-Social Systems:Foundational Infrastructure for Industrial Metaverses and Industries 5.0
Xiao Wang, Yutong Wang, Jing Yang +4
As the concept of Industries 5.0 develops, industrial metaverses are expected to operate in parallel with the actual industrial processes to offer ``Human-Centric" Safe, Secure, Su…
CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner +3
We study the effectiveness of data-balancing for mitigating biases in contrastive language-image pretraining (CLIP), identifying areas of strength and limitation. First, we reaffir…