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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/uber/ludwig

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Ludwig: a type-based declarative deep learning toolbox

https://github.com/uclaml/benign_relu_cnn

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Benign Overfitting for Two-layer ReLU Convolutional Neural Networks

https://github.com/ujjwal-9/celestini-dl

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Indian EmoSpeech Command Dataset: A dataset for emotion based speech recognition in the wild

https://github.com/umass-lids/cunet

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CU-Net: Real-Time High-Fidelity Color Upsampling for Point Clouds

https://github.com/unclemedm/instpifu

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Towards High-Fidelity Single-view Holistic Reconstruction of Indoor Scenes

https://github.com/upczww/abaw5

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Leveraging TCN and Transformer for effective visual-audio fusion in continuous emotion recognition

https://github.com/uqbingliu/divea

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High-quality Task Division for Large-scale Entity Alignment

https://github.com/uranium11010/lemma

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LEMMA: Bootstrapping High-Level Mathematical Reasoning with Learned Symbolic Abstractions

https://github.com/usama-x930/vt-lpr

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Vehicle and License Plate Recognition with Novel Dataset for Toll Collection

https://github.com/usc-sail/fed-ser-leakage

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Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

https://github.com/usc-sail/fed-ser-semi

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Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

https://github.com/usc-sail/mica-profession

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Representation of professions in entertainment media: Insights into frequency and sentiment trends through computational text analysis

https://github.com/usccolumbia/deeperGATGNN

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Scalable deeper graph neural networks for high-performance materials property prediction

https://github.com/usef-kh/fer

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Facial Emotion Recognition: State of the Art Performance on FER2013

https://github.com/utopia-group/typet5

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TypeT5: Seq2seq Type Inference using Static Analysis

https://github.com/uuzeeex/relu-resunit-learning

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Nonparametric Learning of Two-Layer ReLU Residual Units

https://github.com/uzh-rpg/agile_autonomy

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Learning High-Speed Flight in the Wild

https://github.com/uzh-rpg/high_mpc

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Learning High-Level Policies for Model Predictive Control

https://github.com/uzh-rpg/mh_autotune

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AutoTune: Controller Tuning for High-Speed Flight

https://github.com/uzh-rpg/vilib

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Faster than FAST: GPU-Accelerated Frontend for High-Speed VIO

https://github.com/valeoai/radial

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Raw High-Definition Radar for Multi-Task Learning

https://github.com/vanntc711/multidag-cl

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Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition

https://github.com/varsha33/Fine-Grained-Emotion-Recognition

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Using Knowledge-Embedded Attention to Augment Pre-trained Language Models for Fine-Grained Emotion Recognition

https://github.com/venkteshv/unsupervised_keyphrase_extraction_cotagrank_ecir_2022

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Topic Aware Contextualized Embeddings for High Quality Phrase Extraction

https://github.com/verlab/SemanticFastForward_CVPR_2018

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A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos

https://github.com/verlab/SemanticFastForward_TPAMI_2020

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A Sparse Sampling-based framework for Semantic Fast-Forward of First-Person Videos

https://github.com/victorywys/RAVEN

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Words Can Shift: Dynamically Adjusting Word Representations Using Nonverbal Behaviors

https://github.com/vijay4313/proxemo

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ProxEmo: Gait-based Emotion Learning and Multi-view Proxemic Fusion for Socially-Aware Robot Navigation

https://github.com/vijit-m/sochindi

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Socially Aware Bias Measurements for Hindi Language Representations

https://github.com/vincent-zhq/ca-mser

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Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information

https://github.com/vinhsuhi/wge

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Two-view Graph Neural Networks for Knowledge Graph Completion

https://github.com/virgil3706/memory-efficient-u-net

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Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images

https://github.com/visinf/fldr-vfi

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Efficient Feature Extraction for High-resolution Video Frame Interpolation

https://github.com/vision-agh/pointpillars-backbone

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PointPillars Backbone Type Selection For Fast and Accurate LiDAR Object Detection

https://github.com/vision4robotics/SiamAPN

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Siamese Anchor Proposal Network for High-Speed Aerial Tracking

https://github.com/vladimir-chernykh/emotion_recognition

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Emotion Recognition From Speech With Recurrent Neural Networks

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