To address the domain shift problem common in subject-independent emotion recognition, the deep learning model was trained using the domain ... The number of units of the BI-LSTM was set to 64 units.

We developped a multimodal emotion recognition platform to analyze the emotions of job candidates, in partnership with the French Employment Agency. We analye facial, vocal and textual emotions, using ...

Abstract: In the real world environment, various micro and nano facial expressions are generated according to the mental state of thought, which leads to a change in an emotional state. A ...

Methods: This study proposes a deep learning method that ... neural network structure combining LSTM aggregator and weighted pool, which enhances the interpretability of the model and can effectively ...

Facial emotion recognition could have broad applications across health care, education, marketing, transportation, and ...

In recent years, Large Language Models (LLMs) have significantly redefined the field of artificial intelligence (AI), ...

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities. Through RL, ...

DeepSeek says that the model uses an "autoregressive framework" and "surpasses" unified models. Janus-Pro builds on Janus, its original version released last year, and can create and analyze images.

On January 20, DeepSeek, a relatively unknown AI research lab from China, released an open source model that’s quickly ... It started as Fire-Flyer, a deep-learning research branch of High ...