3 accepted papers
The goal of audio-visual speech enhancement (AVSE) is to supplement audio-only information with visual information, such as target speaker's lip movements, to improve the intelligibility and overall perceptual quality of noisy speech signals. We propose a new mechanism for audio-visual (AV) fusion t…
In late fusion, each modality is processed in a separate unimodal Convolutional Neural Network (CNN) stream and the scores of each modality are fused at the end. Due to its simplicity, late fusion is still the predominant approach in many state-of-the-art multimodal applications. In this paper, we p…
Robots hold promise in many scenarios involving outdoor use, such as search-and-rescue, wildlife management, and collecting data to improve environment, climate, and weather forecasting. However, autonomous navigation of outdoor trails remains a challenging problem. Recent work has sought to address…