activity
20202022
most citedVisually Guided Sound Source Separation and Localization using Self-Supervised Motion Representations

7 citations · 14 across the 4 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci20225 cited

The Taming of the Screw: Dislocation Cores in BCC Metals and Alloys

Rui Wang, Lingyu Zhu, Subrahmanyam Pattamatta +2

Body-centred cubic (BCC) transition metals tend to be brittle at low temperatures, posing significant challenges in processing and major concerns for damage tolerance. The brittlen…

cs.CV2021

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…

cs.CV20217 cited

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…

eess.IV2020

Learning Generalized Spatial-Temporal Deep Feature Representation for No-Reference Video Quality Assessment

Baoliang Chen, Lingyu Zhu, Guo Li +2

In this work, we propose a no-reference video quality assessment method, aiming to achieve high-generalization capability in cross-content, -resolution and -frame rate quality pred…

cs.CV20202 cited

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…

cs.CV2020

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…