Intel® AI Visual Inference Samples are easy to use script implementations of workloads with processing pipelines consisting of media and AI inference elements. Samples are built on top of open source ...

Each release of the Intel® AI Visual Inference Samples provides samples for use with a single, specific AI Inference framework. These samples are optimized for best performance with the configurations ...

Abstract: Intention inference based on eye gaze is an important issue in human-computer interaction. To address the issue of neglecting feature weight differences in behavior intention inference ...

In natural vision, feedback connections support versatile visual inference capabilities such as making sense of the occluded or noisy bottom-up sensory information or mediating pure top-down processes ...

Imagine walking along in the African savanna. Suddenly you notice a moving bush partially obscuring a large yellow object. From this limited information, you need to figure out if you’re in danger and ...

Abstract: We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and ...

Researchers from the Peking University and Alibaba Group introduced FastV to address the challenges caused by inefficient attention computation in Large Vision-Language Models (LVLMs). Existing models ...

People interpret abstract meanings from colors, which makes color a useful perceptual feature for visual communication. This process is complicated, however, because there is seldom a one-to-one ...