Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters
Dynamic Facial Expression Recognition (DFER) is crucial for understanding human
behavior. However, current methods exhibit limited performance mainly due to the …
behavior. However, current methods exhibit limited performance mainly due to the …
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 …
Hsemotion team at the 6th abaw competition: Facial expressions, valence-arousal and emotion intensity prediction
AV Savchenko - arxiv preprint arxiv:2403.11590, 2024 - arxiv.org
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW)
competition. To improve the trustworthiness of facial analysis, we study the possibility of …
competition. To improve the trustworthiness of facial analysis, we study the possibility of …
Emotion separation and recognition from a facial expression by generating the poker face with vision transformers
Representation learning and feature disentanglement have garnered significant research
interest in the field of facial expression recognition (FER). The inherent ambiguity of emotion …
interest in the field of facial expression recognition (FER). The inherent ambiguity of emotion …
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 …
Advancing micro-action recognition with multi-auxiliary heads and hybrid loss optimization
Video action recognition has been a hot research direction in computer vision, with most
existing technologies focusing on coarse-grained macro-action recognition. However, fine …
existing technologies focusing on coarse-grained macro-action recognition. However, fine …
Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis In-the-Wild
AV Savchenko - Proceedings of the IEEE/CVF Conference …, 2024 - openaccess.thecvf.com
This article presents our results for the sixth Affective Behavior Analysis in-the-wild (ABAW)
competition. To improve the trustworthiness of facial analysis we study the possibility of …
competition. To improve the trustworthiness of facial analysis we study the possibility of …
Emotic masked autoencoder with attention fusion for facial expression recognition
Facial Expression Recognition (FER) is a critical task within computer vision with diverse
applications across various domains. Addressing the challenge of limited FER datasets …
applications across various domains. Addressing the challenge of limited FER datasets …
ResEmoteNet: Bridging accuracy and loss reduction in facial emotion recognition
The human face is a silent communicator, expressing emotions and thoughts through it's
facial expressions. With the advancements in computer vision in recent years, facial emotion …
facial expressions. With the advancements in computer vision in recent years, facial emotion …
Emotic Masked Autoencoder on Dual-views with Attention Fusion for Facial Expression Recognition
XB Nguyen, HT Nguyen, TH Nguyen… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Facial Expression Recognition (FER) is a critical task within computer vision with
diverse applications across various domains. Addressing the challenge of limited FER …
diverse applications across various domains. Addressing the challenge of limited FER …