Selective Fixed-filter Active Noise Control (SFANC) is limited by its selection of a single
candidate from pre-trained control filters. In contrast, Generative Fixed-filter Active Noise …

Human trajectory prediction is essential and promising in many related applications. This is
challenging due to the uncertainty of human behaviors, which can be influenced not only by …

The 3-D object detection is crucial for many real-world applications, attracting many
researchers' attention. Beyond 2-D object detection, 3-D object detection usually needs to …

In missile guidance, pursuit performance is seriously degraded due to the uncertainty and
randomness in target maneuverability, detection delay, and environmental noise. In many …

Although neural the architecture search (NAS) can bring improvement to deep models, it
always neglects precious knowledge of existing models. The computation and time costing …

Most encoder-decoder structure based predictions models usually predict trajectory
according to the position and historical movement of nearby pedestrians. Their input range …

Correct object detection plays a key role in generating an accurate object tracking result.
Feature-based methods have the capability of handling the critical process of extracting …

Accurate modeling of the vocal tract is necessary to construct articulatory representations for
interpretable speech processing and linguistics. However, vocal tract modeling is …

Optical identification is often done with spatial or temporal visual pattern recognition and
localization. Temporal pattern recognition, depending on the technology, involves a trade-off …

Extended target tracking (ETT) based on random matrices typically assumes that the
measurement model is linear. However, nonlinear measurements (such as range and …