activity
20202022
most citedMulti-modal Emotion Estimation for in-the-wild Videos

13 citations · 27 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV20223 cited

Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities

Haolin Zuo, Rui Liu, Jinming Zhao +2

Multimodal emotion recognition leverages complementary information across modalities to gain performance. However, we cannot guarantee that the data of all modalities are always pr…

cs.CL2022

Self-supervised Rewiring of Pre-trained Speech Encoders: Towards Faster Fine-tuning with Less Labels in Speech Processing

Hao Yang, Jinming Zhao, Gholamreza Haffari +1

Pre-trained speech Transformers have facilitated great success across various speech processing tasks. However, fine-tuning these encoders for downstream tasks require sufficiently…

cs.CL2022

Towards Relation Extraction From Speech

Tongtong Wu, Guitao Wang, Jinming Zhao +4

Relation extraction typically aims to extract semantic relationships between entities from the unstructured text. One of the most essential data sources for relation extraction is…

cs.CL2022

RedApt: An Adaptor for wav2vec 2 Encoding \\ Faster and Smaller Speech Translation without Quality Compromise

Jinming Zhao, Hao Yang, Gholamreza Haffari +1

Pre-trained speech Transformers in speech translation (ST) have facilitated state-of-the-art (SotA) results; yet, using such encoders is computationally expensive. To improve this,…

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.CV202213 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…