output
20172026
most citedS4TP: Social-Suitable and Safety-Sensitive Trajectory Planning for Autonomous Vehicles

18 citations

9 papers

cs.SD2026★ 10 cited

LPIPS-AttnWav2Lip: Generic Audio-Driven lip synchronization for Talking Head Generation in the Wild

Zhipeng Chen, Xinheng Wang, Lun Xie +2

Researchers have shown a growing interest in Audio-driven Talking Head Generation. The primary challenge in talking head generation is achieving audio-visual coherence between the…

physics.ao-ph2024★ 11 cited

Ocean Wave Forecasting with Deep Learning as Alternative to Conventional Models

Ziliang Zhang, Huaming Yu, Danqin Ren +3

This study presents OceanCastNet (OCN), a machine learning approach for wave forecasting that incorporates wind and wave fields to predict significant wave height, mean wave period…

cs.RO2024★ 18 cited

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…

cs.NI2023★ 2 cited

STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning

Kai Wang, Qiguang Jiang, Bailing Wang +2

In-vehicle network (IVN) is facing complex external cyber-attacks, especially the emerging masquerade attacks with extremely high difficulty of detection while serious damaging eff…

cs.CV2022★ 17 cited

Deep Rank-Consistent Pyramid Model for Enhanced Crowd Counting

Jiaqi Gao, Zhizhong Huang, Yiming Lei +4

Most conventional crowd counting methods utilize a fully-supervised learning framework to establish a mapping between scene images and crowd density maps. They usually rely on a la…

cs.AI2019★ 1 cited

A Heuristic Algorithm for the Fabric Spreading and Cutting Problem in Apparel Factories

Xiuqin Shang, Dayong Shen, Fei-Yue Wang +1

We study the fabric spreading and cutting problem in apparel factories. For the sake of saving the material costs, the cutting requirement should be met exactly without producing a…

cs.IR2019★ 1 cited

Mutual Clustering on Comparative Texts via Heterogeneous Information Networks

Jianping Cao, Senzhang Wang, Danyan Wen +3

Currently, many intelligence systems contain the texts from multi-sources, e.g., bulletin board system (BBS) posts, tweets and news. These texts can be ``comparative'' since they m…

cs.CV2018★ 4 cited

M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance

Kunfeng Wang, Chao Gou, Fei-Yue Wang

In this paper, we propose a robust change detection method for intelligent visual surveillance. This method, named M4CD, includes three major steps. Firstly, a sample-based backgro…

cs.CV2017★ 3 cited

Training and Testing Object Detectors with Virtual Images

Yonglin Tian, Xuan Li, Kunfeng Wang +1

In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from th…