164 citations · 820 across the 35 of their papers we have counts for
17 papers · 1 filter
Patch-wise Auto-Encoder for Visual Anomaly Detection
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
Anomaly detection without priors of the anomalies is challenging. In the field of unsupervised anomaly detection, traditional auto-encoder (AE) tends to fail based on the assumptio…
Semi-supervised Object Detection: A Survey on Recent Research and Progress
Yanyang Wang, Zhaoxiang Liu, Shiguo Lian
In recent years, deep learning technology has been maturely applied in the field of object detection, and most algorithms tend to be supervised learning. However, a large amount of…
Data-Centric AI Paradigm Based on Application-Driven Fine-Grained Dataset Design
Huan Hu, Yajie Cui, Zhaoxiang Liu +1
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty. Optimizing network architecture or network paramete…
Application-Driven AI Paradigm for Hand-Held Action Detection
Kohou Wang, Zhaoxiang Liu, Shiguo Lian
In practical applications especially with safety requirement, some hand-held actions need to be monitored closely, including smoking cigarettes, dialing, eating, etc. Taking smokin…
Application-Driven AI Paradigm for Human Action Recognition
Zezhou Chen, Yajie Cui, Kaikai Zhao +2
Human action recognition in computer vision has been widely studied in recent years. However, most algorithms consider only certain action specially with even high computational co…
A Waste Copper Granules Rating System Based on Machine Vision
Kaikai Zhao, Yajie Cui, Zhaoxiang Liu +1
In the field of waste copper granules recycling, engineers should be able to identify all different sorts of impurities in waste copper granules and estimate their mass proportion…
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
Yajie Cui, Zhaoxiang Liu, Shiguo Lian
In line with the development of Industry 4.0, surface defect detection/anomaly detection becomes a topical subject in the industry field. Improving efficiency as well as saving lab…
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
Zipeng Wang, Zhaoxiang Liu, Zezhou Chen +2
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news. This task is also known as Virtual Anchor. Given some paragraphs o…
Video synthesis of human upper body with realistic face
Zhaoxiang Liu, Huan Hu, Zipeng Wang +3
This paper presents a generative adversarial learning-based human upper body video synthesis approach to generate an upper body video of target person that is consistent with the b…
How Old Are You? Face Age Translation with Identity Preservation Using GANs
Zipeng Wang, Zhaoxiang Liu, Jianfeng Huang +2
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging. Different from most recent popular face aging…
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Zezhou Chen, Zhaoxiang Liu, Huan Hu +4
To improve the experiences of face-to-face conversation with avatar, this paper presents a novel conversation system. It is composed of two sequence-to-sequence models respectively…
Feature Aggregation Network for Video Face Recognition
Zhaoxiang Liu, Huan Hu, Jinqiang Bai +2
This paper aims to learn a compact representation of a video for video face recognition task. We make the following contributions: first, we propose a meta attention-based aggregat…
Wearable Travel Aid for Environment Perception and Navigation of Visually Impaired People
Jinqiang Bai, Zhaoxiang Liu, Yimin Lin +3
This paper presents a wearable assistive device with the shape of a pair of eyeglasses that allows visually impaired people to navigate safely and quickly in unfamiliar environment…
Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu +2
This paper presents a novel garbage pickup robot which operates on the grass. The robot is able to detect the garbage accurately and autonomously by using a deep neural network for…
Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu +2
To help the blind people walk to the destination efficiently and safely in indoor environment, a novel wearable navigation device is presented in this paper. The locating, way-find…
Facial Pose Estimation by Deep Learning from Label Distributions
Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai +2
Facial pose estimation has gained a lot of attentions in many practical applications, such as human-robot interaction, gaze estimation and driver monitoring. Meanwhile, end-to-end…
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
Yimin Lin, Zhaoxiang Liu, Jianfeng Huang +5
Although a wide variety of deep neural networks for robust Visual Odometry (VO) can be found in the literature, they are still unable to solve the drift problem in long-term robot…