405 citations · 806 across the 9 of their papers we have counts for
9 papers
Efficient Neural Network Approaches for Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Kun-Hong Liu +5
Genuine leather, such as the hides of cows, crocodiles, lizards and goats usually contain natural and artificial defects, like holes, fly bites, tick marks, veining, cuts, wrinkles…
Integrated Neural Network and Machine Vision Approach For Leather Defect Classification
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2
Leather is a type of natural, durable, flexible, soft, supple and pliable material with smooth texture. It is commonly used as a raw material to manufacture luxury consumer goods f…
Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Danna Zheng +5
Owing to the development and advancement of artificial intelligence, numerous works were established in the human facial expression recognition system. Meanwhile, the detection and…
Automatic Defect Segmentation on Leather with Deep Learning
Sze-Teng Liong, Y. S. Gan, Yen-Chang Huang +2
Leather is a natural and durable material created through a process of tanning of hides and skins of animals. The price of the leather is subjective as it is highly sensitive to it…
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
Sze-Teng Liong, Y. S. Gan, John See +2
In 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 p…
Automatic Surface Area and Volume Prediction on Ellipsoidal Ham using Deep Learning
Y. S. Gan, Sze-Teng Liong, Yen-Chang Huang
This paper presents novel methods to predict the surface and volume of the ham through a camera. This implies that the conventional weight measurement to obtain in the object's vol…
OFF-ApexNet on Micro-expression Recognition System
Sze-Teng Liong, Y. S. Gan, Wei-Chuen Yau +2
When 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 relativ…
Spontaneous Subtle Expression Detection and Recognition based on Facial Strain
Sze-Teng Liong, John See, Raphael Chung-Wei Phan +4
Optical strain is an extension of optical flow that is capable of quantifying subtle changes on faces and representing the minute facial motion intensities at the pixel level. This…
Less is More: Micro-expression Recognition from Video using Apex Frame
Sze-Teng Liong, John See, KokSheik Wong +1
Despite recent interest and advances in facial micro-expression research, there is still plenty room for improvement in terms of micro-expression recognition. Conventional feature…