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Emotion Recognition

80 papers with code · Computer Vision

Emotion Recognition is an important area of research to enable effective human-computer interaction. Human emotions can be detected using speech signal, facial expressions, body language, and electroencephalography (EEG).

Source: Using Deep Autoencoders for Facial Expression Recognition

Benchmarks

Greatest papers with code

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

IJCNLP 2019 SenticNet/conv-emotion

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION

Conversational Transfer Learning for Emotion Recognition

11 Oct 2019SenticNet/conv-emotion

We propose an approach, TL-ERC, where we pre-train a hierarchical dialogue model on multi-turn conversations (source) and then transfer its parameters to a conversational emotion classifier (target).

EMOTION RECOGNITION IN CONVERSATION TRANSFER LEARNING

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

IJCNLP 2019 SenticNet/conv-emotion

Emotion recognition in conversation (ERC) has received much attention, lately, from researchers due to its potential widespread applications in diverse areas, such as health-care, education, and human resources.

EMOTION CLASSIFICATION EMOTION RECOGNITION IN CONVERSATION

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

8 May 2019SenticNet/conv-emotion

Emotion is intrinsic to humans and consequently emotion understanding is a key part of human-like artificial intelligence (AI).

EMOTION RECOGNITION IN CONVERSATION

ExpNet: Landmark-Free, Deep, 3D Facial Expressions

2 Feb 2018fengju514/Expression-Net

Our ExpNet CNN is applied directly to the intensities of a face image and regresses a 29D vector of 3D expression coefficients.

 Ranked #1 on 3D Facial Expression Recognition on 2017_test set (using extra training data)

3D FACIAL EXPRESSION RECOGNITION EMOTION RECOGNITION FACIAL LANDMARK DETECTION

Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

23 Nov 2018A2Zadeh/CMU-MultimodalSDK

Humans convey their intentions through the usage of both verbal and nonverbal behaviors during face-to-face communication.

EMOTION RECOGNITION MULTIMODAL SENTIMENT ANALYSIS

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

ACL 2019 SenticNet/MELD

We propose several strong multimodal baselines and show the importance of contextual and multimodal information for emotion recognition in conversations.

DIALOGUE GENERATION EMOTION RECOGNITION IN CONVERSATION