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20202024
most citedMulti-modal Emotion Estimation for in-the-wild Videos

13 citations · 30 across the 19 of their papers we have counts for

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Showing 2022Show all

9 papers · 1 filter

cs.CV2022★ 3 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

Generating Synthetic Speech from SpokenVocab for Speech Translation

Jinming Zhao, Gholamreza Haffar, Ehsan Shareghi

Training end-to-end speech translation (ST) systems requires sufficiently large-scale data, which is unavailable for most language pairs and domains. One practical solution to the…

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…