10 citations · 35 across the 12 of their papers we have counts for
12 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…
Projected Sliced Wasserstein Autoencoder-based Hyperspectral Images Anomaly Detection
Yurong Chen, Hui Zhang, Yaonan Wang +2
Anomaly detection (AD) has been an active research area in various domains. Yet, the increasing data scale, complexity, and dimension turn the traditional methods into challenging.…
Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency
Xueping Wang, Shasha Li, Min Liu +2
The success of deep neural networks (DNNs) has promoted the widespread applications of person re-identification (ReID). However, ReID systems inherit the vulnerability of DNNs to m…
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…
Learning Person Re-identification Models from Videos with Weak Supervision
Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri +3
Most person re-identification methods, being supervised techniques, suffer from the burden of massive annotation requirement. Unsupervised methods overcome this need for labeled da…
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…
Partial Labeled Gastric Tumor Segmentation via patch-based Reiterative Learning
Yang Nan, Gianmarc Coppola, Qiaokang Liang +5
Gastric cancer is the second leading cause of cancer-related deaths worldwide, and the major hurdle in biomedical image analysis is the determination of the cancer extent. This ass…
3D Face Reconstruction from Light Field Images: A Model-free Approach
Mingtao Feng, Syed Zulqarnain Gilani, Yaonan Wang +1
Reconstructing 3D facial geometry from a single RGB image has recently instigated wide research interest. However, it is still an ill-posed problem and most methods rely on prior m…
Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight
Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang +1
According to conventional neural network theories, the feature of single-hidden-layer feedforward neural networks(SLFNs) resorts to parameters of the weighted connections and hidde…