With the development of multi-modal man-machine interaction, audio signal analysis is
gaining importance in a field traditionally dominated by video. In particular, anomalous …

Drones have attracted more and more attention due to the convenience and wide
applications, and they are playing important roles for both civilian and military. But these …

We present a new framework SoundDet, which is an end-to-end trainable and light-weight
framework, for polyphonic moving sound event detection and localization. Prior methods …

The objective of a sound event detector is to recognize anomalies in an audio clip and return
their onset and offset. However, detecting sound events in noisy environments is a …

Food recognition plays a much critical role in various health-care applications. However, it
poses many challenges to current approaches due to the diverse appearances of food …

Spoofing attacks posed by generating artificial speech can severely degrade the
performance of a speaker verification system. Recently, many anti-spoofing …

In recent years there has been growing interest in the study of depth map's impulse noise
detection and removal. The Rank-ordered Absolute Differences (ROAD) based on …

There are two sub-tasks implied in the weakly-supervised SED: audio tagging and event
boundary detection. Current methods which combine multi-task learning with SED requires …

Previous research has achieved remarkable progress in Sign Language Recognition (SLR).
However, for robust open-set SLR applications, it is necessary to solve signer-independent …

Multimedia event detection aims to precisely retrieve videos that contain complex semantic
events from a large pool. This work addresses this task under a zero-shot setting, where only …