Anisotropic angle distribution learning for head pose estimation and attention understanding in human-computer interaction
Head pose estimation is an important way to understand human attention in the human-
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
computer interaction. In this paper, we propose a novel anisotropic angle distribution …
NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom
Head pose estimation (HPE) under active infrared (IR) illumination has attracted much
attention in the fields of computer vision and machine learning. However, IRHPE often …
attention in the fields of computer vision and machine learning. However, IRHPE often …
Multi-scale dynamic convolutional network for knowledge graph embedding
Knowledge graphs are large graph-structured knowledge bases with incomplete or partial
information. Numerous studies have focused on knowledge graph embedding to identify the …
information. Numerous studies have focused on knowledge graph embedding to identify the …
Overview of behavior recognition based on deep learning
K Hu, J Jin, F Zheng, L Weng, Y Ding - Artificial intelligence review, 2023 - Springer
Human behavior recognition has always been a hot spot for research in computer vision.
With the wide application of behavior recognition in virtual reality and short video in recent …
With the wide application of behavior recognition in virtual reality and short video in recent …
Korean sign language recognition using transformer-based deep neural network
Sign language recognition (SLR) is one of the crucial applications of the hand gesture
recognition and computer vision research domain. There are many researchers who have …
recognition and computer vision research domain. There are many researchers who have …
Bensignnet: Bengali sign language alphabet recognition using concatenated segmentation and convolutional neural network
Sign language recognition is one of the most challenging applications in machine learning
and human-computer interaction. Many researchers have developed classification models …
and human-computer interaction. Many researchers have developed classification models …
Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization
Z Huang, Z Wang, J Zhang, Q Li, Y Shi - Optik, 2021 - Elsevier
Image enhancement has been widely applied to medical science, industry, agriculture, and
military, for which it is very important to preserve brightness and structures. In order to …
military, for which it is very important to preserve brightness and structures. In order to …
FD-SSD: An improved SSD object detection algorithm based on feature fusion and dilated convolution
Q Yin, W Yang, M Ran, S Wang - Signal Processing: Image Communication, 2021 - Elsevier
Abstract Objects that occupy a small portion of an image or a frame contain fewer pixels and
contains less information. This makes small object detection a challenging task in computer …
contains less information. This makes small object detection a challenging task in computer …
Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom
The automatical recognition of human facial expression has attracted attention in the field of
computer vision and machine learning. Previous works on this topic set many constraints …
computer vision and machine learning. Previous works on this topic set many constraints …
A Deep Dive into Robot Vision-An Integrative Systematic Literature Review Methodologies and Research Endeavor Practices
Novel technological swarm and industry 4.0 mold the recent Robot vision research into
innovative discovery. To enhance technological paradigm Deep Learning offers remarkable …
innovative discovery. To enhance technological paradigm Deep Learning offers remarkable …