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20212023
most citedMulti-modal Emotion Estimation for in-the-wild Videos

13 citations · 22 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023

Privacy-preserving and Privacy-attacking Approaches for Speech and Audio -- A Survey

Yuchen Liu, Apu Kapadia, Donald Williamson

In contemporary society, voice-controlled devices, such as smartphones and home assistants, have become pervasive due to their advanced capabilities and functionality. The always-o…

cs.CV2023★ 4 cited

Multi-modal Expression Recognition with Ensemble Method

Chuanhe Liu, Xinjie Zhang, Xiaolong Liu +5

This paper presents our submission to the Expression Classification Challenge of the fifth Affective Behavior Analysis in-the-wild (ABAW) Competition. In our method, multimodal fea…

eess.AS2023

A Composite T60 Regression and Classification Approach for Speech Dereverberation

Yuying Li, Yuchen Liu, Donald S. Williamson

Dereverberation is often performed directly on the reverberant audio signal, without knowledge of the acoustic environment. Reverberation time, T60, however, is an essential acoust…

cs.CV2022

Multi-Task Learning Framework for Emotion Recognition in-the-wild

Tenggan Zhang, Chuanhe Liu, Xiaolong Liu +7

This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th Affective Behavior Analysis in-the-wild (ABAW) competition. We explore the research problems o…

cs.CL2022

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

Jinming Zhao, Tenggan Zhang, Jingwen Hu +4

The emotional state of a speaker can be influenced by many different factors in dialogues, such as dialogue scene, dialogue topic, and interlocutor stimulus. The currently availabl…

cs.CV2022★ 13 cited

Multi-modal Emotion Estimation for in-the-wild Videos

Liyu Meng, Yuchen Liu, Xiaolong Liu +5

In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition. Our method uti…

cs.CL2021★ 5 cited

MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation

Jingwen Hu, Yuchen Liu, Jinming Zhao +1

Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.…