9 citations · 19 across the 6 of their papers we have counts for
7 papers
Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection
Mingtao Feng, Kendong Liu, Liang Zhang +3
Saliency detection with light field images is becoming attractive given the abundant cues available, however, this comes at the expense of large-scale pixel level annotated data wh…
Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud
Mingtao Feng, Zhen Li, Qi Li +6
3D object grounding aims to locate the most relevant target object in a raw point cloud scene based on a free-form language description. Understanding complex and diverse descripti…
Model-Free Design of Stochastic LQR Controller from Reinforcement Learning and Primal-Dual Optimization Perspective
Man Li, Jiahu Qin, Wei Xing Zheng +2
To further understand the underlying mechanism of various reinforcement learning (RL) algorithms and also to better use the optimization theory to make further progress in RL, many…
Minimum Potential Energy of Point Cloud for Robust Global Registration
Zijie Wu, Yaonan Wang, Qing Zhu +4
In this paper, we propose a novel minimum gravitational potential energy (MPE)-based algorithm for global point set registration. The feature descriptors extraction algorithms have…
Relation Graph Network for 3D Object Detection in Point Clouds
Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang +2
Convolutional Neural Networks (CNNs) have emerged as a powerful strategy for most object detection tasks on 2D images. However, their power has not been fully realised for detectin…
Artificial intelligence empowered multi-AGVs in manufacturing systems
Dong Li, Bo Ouyang, Duanpo Wu +1
AGVs are driverless robotic vehicles that picks up and delivers materials. How to improve the efficiency while preventing deadlocks is the core issue in designing AGV systems. In t…