Dse-net: Deep simultaneous estimation network for low-light image enhancement
This paper presents a novel approach for low-light image enhancement. We propose a deep
simultaneous estimation network (DSE-Net), which simultaneously estimates the reflectance …
simultaneous estimation network (DSE-Net), which simultaneously estimates the reflectance …
Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security
Identification of human malicious behaviors is a demanding problem in nuclear security due
to its potential to cause huge personnel and economic casualties. With the visibly rapid …
to its potential to cause huge personnel and economic casualties. With the visibly rapid …
Human-object interaction detection based on cascade multi-scale transformer
L **a, X Ding - Applied Intelligence, 2024 - Springer
Human-object interaction (HOI) detection is an advanced computer vision task for detecting
the relationship between human and surrounding objects. Some methods have emerged to …
the relationship between human and surrounding objects. Some methods have emerged to …
Integration of Feature and Decision Fusion With Deep Learning Architectures for Video Classification
Information fusion is frequently employed to integrate diverse inputs, including sensory data,
features, or decisions, in order to leverage the advantageous relationships among various …
features, or decisions, in order to leverage the advantageous relationships among various …
Learning dynamic relationship between joints for 3D hand pose estimation from single depth map
H **ng, J Yang, Y **ao - Journal of Visual Communication and Image …, 2023 - Elsevier
Abstract 3D hand pose estimation from a single depth map is an essential topic in computer
vision. Most existing methods are devoted to designing a model to capture more spatial …
vision. Most existing methods are devoted to designing a model to capture more spatial …
A novel multi-stream hand-object interaction network for assembly action recognition
L Shaochen, Z Liu, Y Huang, D Liu, G Duan… - Robotic Intelligence and …, 2024 - emerald.com
Purpose Assembly action recognition plays an important role in assembly process
monitoring and human-robot collaborative assembly. Previous works overlook the …
monitoring and human-robot collaborative assembly. Previous works overlook the …
Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security
Identification of human malicious behaviors proves to be a demanding problem in nuclear
security, considering its potential to cause huge personnel and economic casualties. With …
security, considering its potential to cause huge personnel and economic casualties. With …
Learning full context feature for human motion prediction
H **ng, Y Zhou, J Yang, Y **ao - Journal of Visual Communication and …, 2023 - Elsevier
Human motion prediction aims to predict the target poses given the previous poses. Most
existing methods are devoted to extracting richer motion features from only the given …
existing methods are devoted to extracting richer motion features from only the given …
WPL-Based Constraint for 3D Human Pose Estimation from a Single Depth Image
H **ng, J Yang - Sensors, 2022 - mdpi.com
Three-dimensional human pose estimation from depth maps is a fast-growing research area
in computer vision. The distal joints of the human body are more flexible than the proximal …
in computer vision. The distal joints of the human body are more flexible than the proximal …
Integration of Feature and Decision Fusion with Deep Learning Architectures for Video Classification
R Savran Kiziltepe, JQ Gan, JJ Escobar Pérez - 2024 - digibug.ugr.es
Information fusion is frequently employed to integrate diverse inputs, including sensory data,
features, or decisions, in order to leverage the advantageous relationships among various …
features, or decisions, in order to leverage the advantageous relationships among various …