Search Results for author:
Found 8 papers, 0 papers with code
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.
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.
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.
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.
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.
