40 citations · 61 across the 11 of their papers we have counts for
7 papers · 1 filter
DeepDC: Deep Distance Correlation as a Perceptual Image Quality Evaluator
Hanwei Zhu, Baoliang Chen, Lingyu Zhu +2
ImageNet pre-trained deep neural networks (DNNs) show notable transferability for building effective image quality assessment (IQA) models. Such a remarkable byproduct has often be…
Deep Feature Statistics Mapping for Generalized Screen Content Image Quality Assessment
Baoliang Chen, Hanwei Zhu, Lingyu Zhu +2
The statistical regularities of natural images, referred to as natural scene statistics, play an important role in no-reference image quality assessment. However, it has been widel…
Beyond Visual Field of View: Perceiving 3D Environment with Echoes and Vision
Lingyu Zhu, Esa Rahtu, Hang Zhao
This paper focuses on perceiving and navigating 3D environments using echoes and RGB image. In particular, we perform depth estimation by fusing RGB image with echoes, received fro…
V-SlowFast Network for Efficient Visual Sound Separation
Lingyu Zhu, Esa Rahtu
The objective of this paper is to perform visual sound separation: i) we study visual sound separation on spectrograms of different temporal resolutions; ii) we propose a new light…
Visually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations
Lingyu Zhu, Esa Rahtu
The objective of this paper is to perform audio-visual sound source separation, i.e.~to separate component audios from a mixture based on the videos of sound sources. Moreover, we…
Visually Guided Sound Source Separation using Cascaded Opponent Filter Network
Lingyu Zhu, Esa Rahtu
The objective of this paper is to recover the original component signals from a mixture audio with the aid of visual cues of the sound sources. Such task is usually referred as vis…
Leveraging Category Information for Single-Frame Visual Sound Source Separation
Lingyu Zhu, Esa Rahtu
Visual sound source separation aims at identifying sound components from a given sound mixture with the presence of visual cues. Prior works have demonstrated impressive results, b…