While systems based on deep neural networks have produced remarkable performance on
many tasks such as face/object detection and recognition, they also require large amounts of …

Cross-modality images that combine visible-infrared spectra can provide complementary
information for object detection. In particular, they are well-suited for autonomous vehicle …

With the rapid development of generative adversarial networks, face photo-sketch synthesis
has achieved promising performance and playing an increasingly important role in law …

Artificial intelligence applications enable farmers to optimize crop growth and production
while reducing costs and environmental impact. Computer vision-based algorithms in …

With the strong robusticity on illumination variations, near-infrared (NIR) can be an effective
and essential complement to visible (VIS) facial expression recognition in low lighting or …

Illumination variation has been a long-term challenge in real-world facial expression
recognition (FER). Under uncontrolled or non-visible light conditions, near-infrared (NIR) …

Thermal facial imagery offers valuable insight into physiological states such as inflammation
and stress by detecting emitted radiation in the infrared spectrum, which is unseen in the …

For a variety of biometric cross-spectral tasks, Visible-Thermal (VT) facial pairs are used.
However, due to a lack of calibration, photographic capture between two different imaging …

Fault diagnosis is of great importance for reducing economic losses and ensuring the safety
of equipment. As an important part of industrial machine, it is necessary to perform fault …

The stochastic structural plane of a rock mass is the key factor controlling the stability of rock
mass. Obtaining the distribution of stochastic structural planes within a rock mass is crucial …