HiCMAE: Hierarchical Contrastive Masked Autoencoder for Self-Supervised Audio-Visual Emotion Recognition
Abstract Audio-Visual Emotion Recognition (AVER) has garnered increasing attention in
recent years for its critical role in creating emotion-aware intelligent machines. Previous …
recent years for its critical role in creating emotion-aware intelligent machines. Previous …
Gpt-4v with emotion: A zero-shot benchmark for generalized emotion recognition
Abstract Recently, GPT-4 with Vision (GPT-4V) has demonstrated remarkable visual
capabilities across various tasks, but its performance in emotion recognition has not been …
capabilities across various tasks, but its performance in emotion recognition has not been …
Emo-llama: Enhancing facial emotion understanding with instruction tuning
Facial expression recognition (FER) is an important research topic in emotional artificial
intelligence. In recent decades, researchers have made remarkable progress. However …
intelligence. In recent decades, researchers have made remarkable progress. However …
MMA-DFER: MultiModal Adaptation of unimodal models for Dynamic Facial Expression Recognition in-the-wild
K Chumachenko, A Iosifidis… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Dynamic Facial Expression Recognition (DFER) has received significant interest in
the recent years dictated by its pivotal role in enabling empathic and human-compatible …
the recent years dictated by its pivotal role in enabling empathic and human-compatible …
UniLearn: Enhancing Dynamic Facial Expression Recognition through Unified Pre-Training and Fine-Tuning on Images and Videos
Dynamic facial expression recognition (DFER) is essential for understanding human
emotions and behavior. However, conventional DFER methods, which primarily use …
emotions and behavior. However, conventional DFER methods, which primarily use …
Temporal Shift for Personality Recognition with Pre-Trained Representations
Personality, as a reflection of our inner psychological traits, profoundly influences our
behavioral patterns, decision-making processes, and the way we interact with the world …
behavioral patterns, decision-making processes, and the way we interact with the world …
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
This paper expands the cascaded network branch of the autoencoder-based multi-task
learning (MTL) framework for dynamic facial expression recognition, namely Multi-Task …
learning (MTL) framework for dynamic facial expression recognition, namely Multi-Task …