A comprehensive survey of ai-generated content (aigc): A history of generative ai from gan to chatgpt

Y Cao, S Li, Y Liu, Z Yan, Y Dai, PS Yu… - arXiv preprint arXiv …, 2023 - arxiv.org
Recently, ChatGPT, along with DALL-E-2 and Codex, has been gaining significant attention
from society. As a result, many individuals have become interested in related resources and …

Quo vadis artificial intelligence?

Y Jiang, X Li, H Luo, S Yin, O Kaynak - Discover Artificial Intelligence, 2022 - Springer
The study of artificial intelligence (AI) has been a continuous endeavor of scientists and
engineers for over 65 years. The simple contention is that human-created machines can do …

Milestones in autonomous driving and intelligent vehicles: Survey of surveys

L Chen, Y Li, C Huang, B Li, Y Xing… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Learning to prompt for continual learning

Z Wang, Z Zhang, CY Lee, H Zhang… - Proceedings of the …, 2022 - openaccess.thecvf.com
The mainstream paradigm behind continual learning has been to adapt the model
parameters to non-stationary data distributions, where catastrophic forgetting is the central …

Machine learning and deep learning

C Janiesch, P Zschech, K Heinrich - Electronic Markets, 2021 - Springer
Today, intelligent systems that offer artificial intelligence capabilities often rely on machine
learning. Machine learning describes the capacity of systems to learn from problem-specific …

A survey on multimodal large language models for autonomous driving

C Cui, Y Ma, X Cao, W Ye, Y Zhou… - Proceedings of the …, 2024 - openaccess.thecvf.com
With the emergence of Large Language Models (LLMs) and Vision Foundation Models
(VFMs), multimodal AI systems benefiting from large models have the potential to equally …

[HTML][HTML] Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

A Gupta, A Anpalagan, L Guan, AS Khwaja - Array, 2021 - Elsevier
This article presents a comprehensive survey of deep learning applications for object
detection and scene perception in autonomous vehicles. Unlike existing review papers, we …

AlphaFold2 and its applications in the fields of biology and medicine

Z Yang, X Zeng, Y Zhao, R Chen - Signal Transduction and Targeted …, 2023 - nature.com
Abstract AlphaFold2 (AF2) is an artificial intelligence (AI) system developed by DeepMind
that can predict three-dimensional (3D) structures of proteins from amino acid sequences …

A survey on deep multimodal learning for computer vision: advances, trends, applications, and datasets

K Bayoudh, R Knani, F Hamdaoui, A Mtibaa - The Visual Computer, 2022 - Springer
The research progress in multimodal learning has grown rapidly over the last decade in
several areas, especially in computer vision. The growing potential of multimodal data …

Automotive LiDAR technology: A survey

R Roriz, J Cabral, T Gomes - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
Nowadays, and more than a decade after the first steps towards autonomous driving, we
keep heading to achieve fully autonomous vehicles on our roads, with LiDAR sensors being …