A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Social signal processing: Survey of an emerging domain

A Vinciarelli, M Pantic, H Bourlard - Image and vision computing, 2009 - Elsevier
The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

Facial emotion recognition using convolutional neural networks (FERC)

N Mehendale - SN Applied Sciences, 2020 - Springer
Facial expression for emotion detection has always been an easy task for humans, but
achieving the same task with a computer algorithm is quite challenging. With the recent …

A robust GAN-generated face detection method based on dual-color spaces and an improved Xception

B Chen, X Liu, Y Zheng, G Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In recent years, generative adversarial networks (GANs) have been widely used to generate
realistic fake face images, which can easily deceive human beings. To detect these images …

[PDF][PDF] Age and gender prediction and validation through single user images using CNN

AMA Nada, E Alajrami, AA Al-Saqqa… - Int. J. Acad. Eng. Res …, 2020 - academia.edu
Recently, the user's gender and age range are very important for organizations to
understand their customers' needs and develop their strategies to provide more enhanced …

Computer vision and image processing: a paper review

V Wiley, T Lucas - International Journal of Artificial Intelligence Research, 2018 - ijair.id
Computer vision has been studied from many persective. It expands from raw data recording
into techniques and ideas combining digital image processing, pattern recognition, machine …

[PDF][PDF] Fddb: A benchmark for face detection in unconstrained settings

V Jain, E Learned-Miller - 2010 - crowley-coutaz.fr
Despite the maturity of face detection research, it remains difficult to compare different
algorithms for face detection. This is partly due to the lack of common evaluation schemes …

Facial expression recognition: A survey

Y Huang, F Chen, S Lv, X Wang - Symmetry, 2019 - mdpi.com
Facial Expression Recognition (FER), as the primary processing method for non-verbal
intentions, is an important and promising field of computer vision and artificial intelligence …

Fairness testing: A comprehensive survey and analysis of trends

Z Chen, JM Zhang, M Hort, M Harman… - ACM Transactions on …, 2024 - dl.acm.org
Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and
concern among software engineers. To tackle this issue, extensive research has been …

On the power of unique 2-prover 1-round games

S Khot - Proceedings of the thiry-fourth annual ACM symposium …, 2002 - dl.acm.org
A 2-prover game is called unique if the answer of one prover uniquely determines the
answer of the second prover and vice versa (we implicitly assume games to be one round …