no code implementations • 16 Apr 2024 • Feiyang Chen, Ziqian Luo, Lisang Zhou, Xueting Pan, Ying Jiang
Vision Transformers (ViT) have marked a paradigm shift in computer vision, outperforming state-of-the-art models across diverse tasks.
no code implementations • 17 Mar 2024 • Lisang Zhou, Ziqian Luo, Xueting Pan
However, few of them explores the theoretical optimal learning strategy.
no code implementations • 27 Aug 2019 • Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu
Deep learning model trained by imbalanced data may not work satisfactorily since it could be determined by major classes and thus may ignore the classes with small amount of data.
3 code implementations • 17 Apr 2019 • Feiyang Chen, Ziqian Luo, Yanyan Xu, Dengfeng Ke
Therefore, in this paper, based on audio and text, we consider the task of multimodal sentiment analysis and propose a novel fusion strategy including both multi-feature fusion and multi-modality fusion to improve the accuracy of audio-text sentiment analysis.
Multimodal Emotion Recognition Multimodal Sentiment Analysis
no code implementations • 20 Nov 2018 • Feiyang Chen, Ziqian Luo
Audio Sentiment Analysis is a popular research area which extends the conventional text-based sentiment analysis to depend on the effectiveness of acoustic features extracted from speech.