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- research-articleFebruary 2024
DSteganoM: Deep steganography for motion capture data
Expert Systems with Applications: An International Journal (EXWA), Volume 238, Issue PCMar 2024https://doi.org/10.1016/j.eswa.2023.121955AbstractMotion capture (mocap) data stores the skeleton movement of recorded objects or humans and is essential for various 3D applications, such as games, animations, virtual reality, surveillance and medical. The exploration of steganography using ...
Highlights- A new deep neural network model for hiding mocap data inside another mocap data.
- This model can hide mocap data of different topologies with different dimensions.
- The secret mocap data can be reconstructed under noise corruption ...
- research-articleOctober 2023
Predicting trajectory of crane-lifted load using LSTM network: A comparative study of simulated and real-world scenarios
Expert Systems with Applications: An International Journal (EXWA), Volume 228, Issue COct 2023https://doi.org/10.1016/j.eswa.2023.120215AbstractThe use of robotics automation in on-site construction is crucial for achieving precise engineering and quality output. However, there is a lack of modern literature reviews on using robotic arms as small-scale model rotary cranes for predicting ...
Highlights- Crane movement trajectory dataset collection from simulation and real-world scenarios.
- Uncovering the motion profile of a rotary crane system via the LSTM predictive model.
- Thorough experimentation evaluation via cross-domain ...
- research-articleJune 2023
Revealing concealed spontaneous facial micro-expression: Are we a step closer to unveil real-life behavioral expressions?
AbstractFacial micro-expression (ME) expression analysis has aroused interdisciplinary attention from the realms of computer vision and psychology due to its advantages of divulging nonverbal emotion via subtle involuntary facial muscle ...
- research-articleMarch 2023
- research-articleMarch 2023
3D SOC-Net: Deep 3D reconstruction network based on self-organizing clustering mapping
Expert Systems with Applications: An International Journal (EXWA), Volume 213, Issue PCMar 2023https://doi.org/10.1016/j.eswa.2022.119209AbstractImage-based 3D reconstruction from a single-view image is critical and fundamental in many areas and can be integrated into many applications to provide useful functions. However, there are several crucial difficulties and challenges ...
Highlights- Proposal of single RGB image as the input for 3D point cloud reconstruction.
- ...
- research-articleDecember 2022
What does it look like? An artificial neural network model to predict the physical dense 3D appearance of a large-scale object
Expert Systems with Applications: An International Journal (EXWA), Volume 208, Issue CDec 2022https://doi.org/10.1016/j.eswa.2022.118106AbstractObject 3D reconstruction is a well-known ill-posed problem that has been extensively studied and making compelling progress, especially in recent years. This is owing to the rise of computational capability in enabling the efficient ...
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Highlights- A benchmark for image-based 3D reconstruction in a realistic condition is presented.
- research-articleSeptember 2022
Needle in a Haystack: Spotting and recognising micro-expressions “in the wild”
Neurocomputing (NEUROC), Volume 503, Issue CSep 2022, Pages 283–298https://doi.org/10.1016/j.neucom.2022.06.101AbstractComputational research on facial micro-expressions has long focused on videos captured under constrained laboratory conditions due to the challenging elicitation process and limited samples that are publicly available. Moreover, ...
- research-articleJanuary 2021
How Many Bedrooms Do You Need? A Real-Estate Recommender System from Architectural Floor Plan Images
- Jianping Gou,
- Y.S. Gan,
- Shih-Yuan Wang,
- Chieh-En Huang,
- Yi-Chen Hsieh,
- Hsiang-Yu Wang,
- Wen-Hung Lin,
- Shing-Nam Chong,
- Sze-Teng Liong
This paper introduces an automated image processing method to analyze an architectural floor plan database. The floor plan information, such as the measurement of the rooms, dimension lines, and even the location of each room, can be automatically ...
- research-articleJuly 2020
Evaluation of the Spatio-Temporal Features and GAN for Micro-Expression Recognition System
Journal of Signal Processing Systems (JSPS), Volume 92, Issue 7Jul 2020, Pages 705–725https://doi.org/10.1007/s11265-020-01523-4AbstractOwing to the development and advancement of artificial intelligence, numerous works have been established in the human facial expression recognition system. Meanwhile, the detection and classification of micro-expressions have been attracting ...
- research-articleMay 2019
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)May 2019, Pages 1–5https://doi.org/10.1109/FG.2019.8756567In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks. The robustness of deep learning has yielded promising performance beyond that of traditional handcrafted approaches. ...
- research-articleMay 2019
OFF-ApexNet on micro-expression recognition system
Image Communication (IMAG), Volume 74, Issue CMay 2019, Pages 129–139https://doi.org/10.1016/j.image.2019.02.005AbstractWhen a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain. This is due to ...
Highlights- Only two frames from each video were utilized to represent significant motion features.