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Emotion Recognition

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하위 태스크: 12
평가표: 10
보존된 평가 기록: 18

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/lucpoisson/subspaceclustering

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Subspace clustering in high-dimensions: Phase transitions & Statistical-to-Computational gap

https://github.com/ludybupt/FATRER

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FATRER: Full-Attention Topic Regularizer for Accurate and Robust Conversational Emotion Recognition

https://github.com/luftmenscher/RBA-GCN

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RBA-GCN: Relational Bilevel Aggregation Graph Convolutional Network for Emotion Recognition

https://github.com/luisacutillo78/scalable_bigraphical_lasso

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Scalable Bigraphical Lasso: Two-way Sparse Network Inference for Count Data

https://github.com/luka-group/lite

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Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference

https://github.com/lum1104/eibench

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Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models

https://github.com/lupaopao/gpt4affectivity

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GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

https://github.com/lxasqjc/Deformation-Segmentation

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Learning to Downsample for Segmentation of Ultra-High Resolution Images

https://github.com/lxasqjc/Foveation-Segmentation

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Foveation for Segmentation of Ultra-High Resolution Images

https://github.com/lxuechen/private-transformers

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When Does Differentially Private Learning Not Suffer in High Dimensions?

https://github.com/lyakaap/Landmark2019-1st-and-3rd-Place-Solution

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Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval

https://github.com/lyndonzheng/TFill

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Bridging Global Context Interactions for High-Fidelity Image Completion

https://github.com/lzhili/fnirs-omcrd

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Online Multi-level Contrastive Representation Distillation for Cross-Subject fNIRS Emotion Recognition

https://github.com/lzj994/Binary-Quantization

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An Integrated Approach to Produce Robust Models with High Efficiency

https://github.com/m-muaz/Cogmen_SLT

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Bridging Modalities: Knowledge Distillation and Masked Training for Translating Multi-Modal Emotion Recognition to Uni-Modal, Speech-Only Emotion Recognition

https://github.com/magcil/grethe

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A Dataset for Speech Emotion Recognition in Greek Theatrical Plays

https://github.com/majid1292/DRPT

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High-Dimensional Feature Selection for Genomic Datasets

https://github.com/maktukmak/mmfa

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Multimodal Data Fusion in High-Dimensional Heterogeneous Datasets via Generative Models

https://github.com/manhtuando97/two-stage-gnn

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Two-stage Training of Graph Neural Networks for Graph Classification

https://github.com/marccasals98/BSC-UPC_EmoSPeech

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BSC-UPC at EmoSPeech-IberLEF2024: Attention Pooling for Emotion Recognition

https://github.com/marcelomatheusgauy/pretrained_audio_neural_networks_emotion_recognition

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Pretrained audio neural networks for Speech emotion recognition in Portuguese

https://github.com/marialaurasantoni/ioh-profiler-hdbo-comparison

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Comparison of High-Dimensional Bayesian Optimization Algorithms on BBOB

https://github.com/marianaasouza/dynamic-model-recommender

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Multi-label learning for dynamic model type recommendation

https://github.com/mariuszeinhofer/natural-gradient-pinns-icml23

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Achieving High Accuracy with PINNs via Energy Natural Gradients

https://github.com/marsggbo/EAGAN

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EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

https://github.com/martinjankowiak/saasbo

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High-Dimensional Bayesian Optimization with Sparse Axis-Aligned Subspaces

https://github.com/martinmamql/multimodal_routing

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Multimodal Routing: Improving Local and Global Interpretability of Multimodal Language Analysis

https://github.com/marwaltz/tud_rl

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Addressing Maximization Bias in Reinforcement Learning with Two-Sample Testing

https://github.com/masonyoungblood/DynCommPhylo

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Phylogenetic reconstruction of the cultural evolution of electronic music via dynamic community detection (1975-1999)

https://github.com/mbinkowski/DeepSpeechDistances

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High Fidelity Speech Synthesis with Adversarial Networks

https://github.com/mbohlkeschneider/gluon-ts

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High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

https://github.com/mchancan/deepseqslam

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Sequential Place Learning: Heuristic-Free High-Performance Long-Term Place Recognition

https://github.com/mdswyz/dmd

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Decoupled Multimodal Distilling for Emotion Recognition

https://github.com/megagonlabs/sato

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Sato: Contextual Semantic Type Detection in Tables

https://github.com/megvii-research/hdr-transformer

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Ghost-free High Dynamic Range Imaging with Context-aware Transformer

https://github.com/mehdi-mirzapour/emotional_speech_recognition

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Emotional Speech Recognition with Pre-trained Deep Visual Models

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