2 citations · 3 across the 8 of their papers we have counts for
8 papers
Modality Disentangled Learning for Incomplete Multimodal Emotion Recognition: A Primitive Memory Distillation Perspective
Jiaqi Zhang, Zheng Pang, Mengting Li +9
Multimodal Emotion Recognition (MER) systems often suffer from missing modalities in real-world scenarios. Existing methods usually generate, align, or distill missing modalities a…
EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs
He Hu, Tengjin Weng, Zebang Cheng +5
Recent multimodal large language models (MLLMs) have shown strong capabilities in perception, reasoning, and generation, and are increasingly used in applications such as social ro…
Heterogeneous bimodal attention fusion for speech emotion recognition
Jiachen Luo, Huy Phan, Lin Wang +1
Multi-modal emotion recognition in conversations is a challenging problem due to the complex and complementary interactions between different modalities. Audio and textual cues are…
Bimodal Connection Attention Fusion for Speech Emotion Recognition
Jiachen Luo, Huy Phan, Lin Wang +1
Multi-modal emotion recognition is challenging due to the difficulty of extracting features that capture subtle emotional differences. Understanding multi-modal interactions and co…
1st Place Solution to Odyssey Emotion Recognition Challenge Task1: Tackling Class Imbalance Problem
Mingjie Chen, Hezhao Zhang, Yuanchao Li +11
Speech emotion recognition is a challenging classification task with natural emotional speech, especially when the distribution of emotion types is imbalanced in the training and t…
cross-modal fusion techniques for utterance-level emotion recognition from text and speech
Jiachen Luo, Huy Phan, Joshua Reiss
Multimodal emotion recognition (MER) is a fundamental complex research problem due to the uncertainty of human emotional expression and the heterogeneity gap between different moda…
deep learning of segment-level feature representation for speech emotion recognition in conversations
Jiachen Luo, Huy Phan, Joshua Reiss
Accurately detecting emotions in conversation is a necessary yet challenging task due to the complexity of emotions and dynamics in dialogues. The emotional state of a speaker can…
Which is better? A Modularized Evaluation for Topic Popularity Prediction
Yiming Zhang, Jiacheng Luo, Xiaofeng Gao +1
Topic popularity prediction in social networks has drawn much attention recently. Various elegant models have been proposed for this issue. However, different datasets and evaluati…