Search Results for author:
Found 17 papers, 1 papers with code
Patch-wise Auto-Encoder for Visual Anomaly Detection
Anomaly detection without priors of the anomalies is challenging.
Semi-supervised Object Detection: A Survey on Recent Research and Progress
In recent years, deep learning technology has been maturely applied in the field of object detection, and most algorithms tend to be supervised learning.
Application-Driven AI Paradigm for Hand-Held Action Detection
The first one is a coarse detection module with the human pose consisting of the whole hand, cigarette and head as target object.
Application-Driven AI Paradigm for Human Action Recognition
Human action recognition in computer vision has been widely studied in recent years.
Data-Centric AI Paradigm Based on Application-Driven Fine-Grained Dataset Design
Deep learning has a wide range of applications in industrial scenario, but reducing false alarm (FA) remains a major difficulty.
A Waste Copper Granules Rating System Based on Machine Vision
Our rating network includes a segmentation network and a purity regression network, which respectively calculate the semantic segmentation heatmaps and purity results of the waste copper granules.
A Survey on Unsupervised Anomaly Detection Algorithms for Industrial Images
In contrast, recent research shows that unsupervised learning has great potential in tackling the above disadvantages for visual industrial anomaly detection.
How Old Are You? Face Age Translation with Identity Preservation Using GANs
We present a novel framework to generate images of different age while preserving identity information, which is known as face aging.
A Realistic Face-to-Face Conversation System based on Deep Neural Networks
Based on the models' output, the synthesizer uses the Pixel2Pixel model to generate realistic facial images.
A Neural Virtual Anchor Synthesizer based on Seq2Seq and GAN Models
This paper presents a novel framework to generate realistic face video of an anchor, who is reading certain news.
Video synthesis of human upper body with realistic face
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 body motion, face expression, and pose of the person in source video.
Feature Aggregation Network for Video Face Recognition
We make the following contributions: first, we propose a meta attention-based aggregation scheme which adaptively and fine-grained weighs the feature along each feature dimension among all frames to form a compact and discriminative representation.
Virtual-Blind-Road Following Based Wearable Navigation Device for Blind People
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.
Facial Pose Estimation by Deep Learning from Label Distributions
Facial pose estimation has gained a lot of attentions in many practical applications, such as human-robot interaction, gaze estimation and driver monitoring.
Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
In addition, with the ground segmentation using a deep neural network, a novel navigation strategy is proposed to guide the robot to move around.
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
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 navigation.
