Robust and efficient deep learning methods for vision-based action recognition

Robust and efficient deep learning methods for vision-based action recognition

Vision-based action recognition, which performs action recognition based solely on RGB frames, has received strong research interest thanks to its wide applications in various fields, e.g. surveillance, smart homes, and autonomous driving. Significant progress has been made in vision-based action re...

Saved in:

書目詳細資料
主要作者:	Xu, Yuecong
其他作者:	Mao Kezhi
格式:	Thesis-Doctor of Philosophy
語言:	English
出版:	Nanyang Technological University 2021
主題:	Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
在線閱讀:	https://hdl.handle.net/10356/153169
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

相似書籍

Adversarial robustness of deep reinforcement learning
由: Qu, Xinghua
出版: (2022)

Human action recognition in the dark based on transferring learning and LSTM
由: Yang, Fan
出版: (2023)

Towards robust sensing and recognition : from statistical learning to transfer learning
由: Yang, Jianfei
出版: (2020)

Data efficient learning for 3D computer vision
由: Wei, Jiacheng
出版: (2023)

EEG-based stress recognition using deep learning techniques
由: Ang, Jerica
出版: (2021)

Action recognition in videos
由: Dai, Peilun
出版: (2014)

Improving sample efficiency using attention in deep reinforcement learning
由: Ong, Dorvin Poh Jie
出版: (2021)

Deep neural network compression for pixel-level vision tasks
由: He, Wei
出版: (2021)

Vision language representation learning
由: Yang, Xiaofeng
出版: (2023)

Deep learning based car license plate recognition
由: Ngo, Jason Jun Hao
出版: (2021)

Effective action recognition with fully supervised and self-supervised methods
由: Cao, Haozhi
出版: (2021)

Deep learning and computer chess (part 2)
由: Xu, Shiguang
出版: (2022)

Deep learning for optical character recognition in online images
由: Lim, Yi Xian
出版: (2023)

Meta-learning for deep reinforcement learning
由: Poon, Jun Yaw
出版: (2021)

Deep transfer learning on continual learning
由: Sousa Leite de Carvalho, Marcus Vinicius
出版: (2023)

Training deep neural network models for accurate recognition of texts in scenes
由: Lim, Joshen Eng Keat
出版: (2020)

Electroencephalogram (EEG)-based fatigue recognition using deep learning techniques
由: Cheng, Zhiao
出版: (2021)

Domain adaptation for video action recognition
由: Wang, Xiyu
出版: (2023)

Deep machine learning based scene understanding
由: Wo, Benjamin Shun Xian
出版: (2022)

Deep learning in virtual reality
由: Feng, Chengxuan
出版: (2021)

Deep learning and computer chess
由: Low, Benedict Yu
出版: (2021)

Deep learning for defect detection
由: Low, Edwin Xuan Hao
出版: (2023)

Hybrid deep neural network and deep reinforcement learning for algorithmic finance
由: Ooi, Min Hui
出版: (2022)

Attack on training effort of deep learning
由: How, Kevin Kai-Wen
出版: (2021)

Deep learning techniques and sentiment analysis
由: Kwan, Yu Ting
出版: (2021)

Defences and threats in safe deep learning
由: Chan, Alvin Guo Wei
出版: (2021)

Music generation with deep learning techniques
由: Lee, Daniel Yu Sheng
出版: (2021)

Deep learning approaches for traffic prediction
由: Shao, Hongxin
出版: (2020)

Deep learning with intelligent opponent in fencing
由: Loh, Qiao Yan
出版: (2022)

Deep learning for combinatorial optimization problems
由: Xin, Liang
出版: (2022)

Music generation using deep learning
由: Lee, Ray Chong
出版: (2023)

Sensor-based activity recognition via learning from distributions
由: Qian, Hangwei
出版: (2020)

Effects of action masking on deep reinforcement learning for inventory management
由: Goh, Bryan Zheng Ting
出版: (2023)

Towards interpretable & robust face recognition
由: Pattra, Surya Paryanta
出版: (2022)

Deep CNN-LSTM supervised model and CNN self-supervised model for human activity recognition
由: Liao, Zixin
出版: (2023)

Training-free neural active learning with initialization robustness guarantees
由: Singh, Jasraj
出版: (2023)

Robust and adaptive decision-making: a reinforcement learning perspective
由: Xue, Wanqi
出版: (2024)

Deep learning for NTUQA forum question classification
由: Fung, Joseph King Yiu
出版: (2021)

Autonomous deep learning for unmanned aerial vehicle
由: Looi, Deane Yi Ren
出版: (2020)

Deep learning and computer chess (part 1)
由: Pereddy Vijai Krishna Reddy
出版: (2020)