Core: Cooperative reconstruction for multi-agent perception

B Wang, L Zhang, Z Wang, Y Zhao… - Proceedings of the …, 2023 - openaccess.thecvf.com
This paper presents CORE, a conceptually simple, effective and communication-efficient
model for multi-agent cooperative perception. It addresses the task from a novel perspective …

Deeply supervised subspace learning for cross-modal material perception of known and unknown objects

P Xiong, J Liao, MC Zhou, A Song… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In order to help robots understand and perceive an object's properties during noncontact
robot-object interaction, this article proposes a deeply supervised subspace learning …

Multi-AUV inspection for process monitoring of underwater oil transportation

J He, J Wen, S Xiao, J Yang - IEEE/CAA Journal of Automatica …, 2023 - ieeexplore.ieee.org
Dear Editor, This letter presents an inspection method for process monitoring of underwater
oil transportation via multiple autonomous underwater vehicles (AUV). To improve the …

A multi-object tracking algorithm with center-based feature extraction and occlusion handling

Z Cao, J Li, D Zhang, M Zhou… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
For tracking suspicious objects using intelligent robots, Multiple Object Tracking (MOT) has
gained great attention. MOT is easily affected by long-term severe occlusion. This work …

Moment-based model predictive control of autonomous systems

HQ Bao, Q Kang, XD Shi, MC Zhou… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Great efforts have been devoted to the intelligent control of autonomous systems. Yet, most
of existing methods fail to effectively handle the uncertainty of their environment and models …

A progressive quadric graph convolutional network for 3D human mesh recovery

L Wang, X Liu, X Ma, J Wu, J Cheng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Human mesh recovery from one single image has achieved rapid progress recently, but
many methods suffer from the image appearance overfitting since the training data are …

A dual-feature-based adaptive shared transformer network for image captioning

Y Shi, J Xia, MC Zhou, Z Cao - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Current models exhibit notable efficacy in image-captioning tasks. Mainstream research
shows that combining dual visual features enhances visual representations and brings a …

A Patch-Based Method for Underwater Image Enhancement With Denoising Diffusion Models

H Xia, B Bao, F Liao, J Chen… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The enhancement of underwater images has emerged as a significant technological
challenge in advancing marine research and exploration tasks. Due to the scattering of …

Divergent component of motion planning and adaptive repetitive control for wearable walking exoskeletons

P Huang, Z Li, M Zhou, Z Kan - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Wearable walking exoskeletons show great potentials in helping patients with neuro
musculoskeletal stroke. Key to the successful applications is the design of effective walking …

Reconfigurable design and modeling of an underwater superlimb for diving assistance

J Huo, J Wang, Y Guo, W Qiu, M Chen… - Advanced Intelligent …, 2023 - Wiley Online Library
This study presents the design of an underwater superlimb as a wearable robot, providing
divers with mobility assistance and freeing their hands for manipulating tools underwater …