To meet the demand for powerful models for practical applications in real time, the focus of
research on human actions has shifted from offline detection to online and real-time …

In this paper, we propose a two-stage omnidirectional depth estimation framework with multi-view
360 ∘ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \…

Omnidirectional depth estimation is an emerging research topic and has received significant
attention in recent years. However, the existing methods were developed based on the …

With the rapid development of food production and health management, analyses of food
samples have been essential for preventing diseases and understanding human culture. …

In this paper, a new feature extraction algorithm for speech recognition using sparse discrete
wavelet decomposition (SDWD) is proposed. The recognition system contains the following …

In this paper, the speech recognition algorithms using CNN deep learning based on the sparse
discrete wavelet decomposition (SDWD) and bandpass filter banks (BPFB) are proposed…

In this paper, we propose a channel sparsity-aware recursive least square (RLS) algorithm
using sequential update for nonlinear acoustic echo cancellation (NAEC). The acoustic …

High-temperature vibration measurement plays a critical role in the design and performance
testing of equipment such as aero-engine and heavy-duty gas turbines. Due to its non-…

Gaze following is the task of estimating where an observer is looking inside a scene. Both
the observer and scene information must be learned to determine the gaze directions and …

Speech recognition is widely applied to translation from speech to related text, voice driven
commands, human machine interface and so on [1]-[8]. It has been increasingly proliferated …