Real-Time Location-to-Image Generative Adversarial Networks with Sparse Sensor Data-Reference-Cited by-同舟云学术

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Real-Time Location-to-Image Generative Adversarial Networks with Sparse Sensor Data

Published:2023-11-21 Issue: Volume:29 Page:1-6
ISSN:
Container-title:2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
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Author:

Zhang Duo¹,Ye Qisheng¹,Wang Di¹,Liang Weixiang¹,Hu Guanghui²,Yang Zhi-Xin¹

Affiliation:

1. University of Macau,State Key Laboratory of Internet of Things for Smart City (UM), Centre of Artificial Intelligence and Robotics,Department of Electromechanical Engineering,Macau,China

2. University of Macau,Department of Mathematics,Macau,China

Funder

Science and Technology Development Fund

University of Macau

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10413343/10413344/10413369.pdf?arnumber=10413369

Reference23 articles.

1. Fast Robust Capsule Network With Dynamic Pruning and Multiscale Mutual Information Maximization for Compound-Fault Diagnosis

2. Self-Supervised Point Cloud Understanding via Mask Transformer and Contrastive Learning

3. An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition

4. Aesthetic-Driven Image Enhancement by Adversarial Learning

5. From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement

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