activity
20212025
most citedSelf-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

2 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.HC2025

External Human-Machine Interface based on Intent Recognition: Framework Design and Experimental Validation

Boya Sun, Haotian Shi, Ying Ni +2

Increasing autonomous vehicles (AVs) in transportation systems makes effective interactions between AVs and pedestrians indispensable. External human--machine interface (eHMI), whi…

cs.CV2025

Which2comm: An Efficient Collaborative Perception Framework for 3D Object Detection

Duanrui Yu, Jing You, Xin Pei +3

Collaborative perception allows real-time inter-agent information exchange and thus offers invaluable opportunities to enhance the perception capabilities of individual agents. How…

cs.CV2024

CVVLSNet: Vehicle Location and Speed Estimation Using Partial Connected Vehicle Trajectory Data

Jiachen Ye, Dingyu Wang, Shaocheng Jia +4

Real-time estimation of vehicle locations and speeds is crucial for developing many beneficial transportation applications in traffic management and control, e.g., adaptive signal…

cs.CV2024

CCDepth: A Lightweight Self-supervised Depth Estimation Network with Enhanced Interpretability

Xi Zhang, Yaru Xue, Shaocheng Jia +1

Self-supervised depth estimation, which solely requires monocular image sequence as input, has become increasingly popular and promising in recent years. Current research primarily…

cs.CV2023

Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera

Shaocheng Jia, Wei Yao

Cutting-edge connected vehicle (CV) technologies have drawn much attention in recent years. The real-time traffic data captured by a CV can be shared with other CVs and data center…

cs.CV2022

Joint Learning of Frequency and Spatial Domains for Dense Predictions

Shaocheng Jia, Wei Yao

Current artificial neural networks mainly conduct the learning process in the spatial domain but neglect the frequency domain learning. However, the learning course performed in th…

cs.CV2021

DMRVisNet: Deep Multi-head Regression Network for Pixel-wise Visibility Estimation Under Foggy Weather

Jing You, Shaocheng Jia, Xin Pei +1

Scene perception is essential for driving decision-making and traffic safety. However, fog, as a kind of common weather, frequently appears in the real world, especially in the mou…

cs.CV2021★ 2 cited

Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos

Shaocheng Jia, Xin Pei, Wei Yao +1

Self-supervised depth estimation has drawn much attention in recent years as it does not require labeled data but image sequences. Moreover, it can be conveniently used in various…