Feature representation learning with adaptive displacement generation and transformer fusion for micro-expression recognition

Z Zhai, J Zhao, C Long, W Xu, S He… - Proceedings of the …, 2023 - openaccess.thecvf.com
Micro-expressions are spontaneous, rapid and subtle facial movements that can neither be
forged nor suppressed. They are very important nonverbal communication clues, but are …

An effective approach for CT lung segmentation using mask region-based convolutional neural networks

Q Hu, LFF Souza, GB Holanda, SSA Alves… - Artificial intelligence in …, 2020 - Elsevier
Computer vision systems have numerous tools to assist in various medical fields, notably in
image diagnosis. Computed tomography (CT) is the principal imaging method used to assist …

Knowledge-driven self-supervised representation learning for facial action unit recognition

Y Chang, S Wang - … of the IEEE/CVF Conference on …, 2022 - openaccess.thecvf.com
Facial action unit (AU) recognition is formulated as a supervised learning problem by recent
works. However, the complex labeling process makes it challenging to provide AU …

Knowledge augmented deep neural networks for joint facial expression and action unit recognition

Z Cui, T Song, Y Wang, Q Ji - Advances in Neural …, 2020 - proceedings.neurips.cc
Facial expression and action units (AUs) represent two levels of descriptions of the facial
behavior. Due to the underlying facial anatomy and the need to form a meaningful coherent …

PPA-Net: pyramid pooling attention network for multi-scale ship detection in SAR images

G Tang, H Zhao, C Claramunt, W Zhu, S Wang… - Remote Sensing, 2023 - mdpi.com
In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …

Review on learning framework for facial expression recognition

RA Borgalli, S Surve - The Imaging Science Journal, 2022 - Taylor & Francis
The facial expressions recognition (FER) is crucial to many applications. As technology
advances and our needs evolve, compound emotion recognition is becoming increasingly …

[HTML][HTML] Pothole classification model using edge detection in road image

JW Baek, K Chung - Applied Sciences, 2020 - mdpi.com
Since the image related to road damage includes objects such as potholes, cracks,
shadows, and lanes, there is a problem that it is difficult to detect a specific object. In this …