In this paper, we introduce FitMe, a facial reflectance model and a differentiable rendering
optimization pipeline, that can be used to acquire high-fidelity renderable human avatars …

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 …

Heterogeneous face recognition (HFR) involves the intricate task of matching face images
across the visual domains of visible (VIS) and near-infrared (NIR). While much of the existing …

Prior work showed that face-recognition systems ingesting RGB images captured via visible-
light (VIS) cameras are susceptible to real-world evasion attacks. Face-recognition systems …

Both pose disparities and modality differences with various modalities are significant
difficulties that have an impact on recognition accuracy in heterogeneous face recognition …

The poor lighting and dust in underground engineering environments often induce serious
noise and motion blur to face recognition cameras, decreasing the recognition accuracy …

Humans can easily distinguish glass in indoor and outdoor scenes. However, when robots
work indoors or outdoors, they struggle to perceive the presence of glass, relying on sensors …

Prior work showed that face-recognition systems ingesting RGB images captured via visible-
light (VIS) cameras are susceptible to real-world evasion attacks. Face-recognition systems …

In this work, we developed an AI-based surveillance system to be used by businesses to
improve public safety, security, and law enforcement efforts. The system has numerous …