Cover Image

Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sariyanidi, Evangelos, Yankowitz, Lisa, Schultz, Robert T., Herrington, John D., Tunc, Birkan, Cohn, Jeffrey
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Bitbox: Behavioral Imaging Toolbox for Computational Analysis of Behavior from Videos
by: Sariyanidi, Evangelos, et al.
Published: (2025)

Micro-DualNet: Dual-Path Spatio-Temporal Network for Micro-Action Recognition
by: Chappa, Naga VS Raviteja, et al.
Published: (2026)

3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
by: Sariyanidi, Evangelos, et al.
Published: (2025)

Measuring Dependencies between Biological Signals with Self-supervision, and its Limitations
by: Sariyanidi, Evangelos, et al.
Published: (2025)

Concurrence: A dependence criterion for time series, applied to biological data
by: Sariyanidi, Evangelos, et al.
Published: (2025)

Let's Get the FACS Straight -- Reconstructing Obstructed Facial Features
by: Büchner, Tim, et al.
Published: (2023)

A Novel FACS-Aligned Anatomical Text Description Paradigm for Fine-Grained Facial Behavior Synthesis
by: Wang, Jiahe, et al.
Published: (2026)

Hugging Rain Man: A Novel Facial Action Units Dataset for Analyzing Atypical Facial Expressions in Children with Autism Spectrum Disorder
by: Ji, Yanfeng, et al.
Published: (2024)

SuperFace: Preference-Aligned Facial Expression Estimation Beyond Pseudo Supervision
by: Kang, Zejian, et al.
Published: (2026)

Unsupervised learning of Data-driven Facial Expression Coding System (DFECS) using keypoint tracking
by: Tripathi, Shivansh Chandra, et al.
Published: (2024)

Discrete Facial Encoding: : A Framework for Data-driven Facial Display Discovery
by: Tran, Minh, et al.
Published: (2025)

Beyond the Fold: Quantifying Split-Level Noise and the Case for Leave-One-Dataset-Out AU Evaluation
by: Hinduja, Saurabh, et al.
Published: (2026)

SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data
by: He, Xilin, et al.
Published: (2024)

MixCut:A Data Augmentation Method for Facial Expression Recognition
by: Yu, Jiaxiang, et al.
Published: (2024)

Rethinking Facial Expression Recognition in the Era of Multimodal Large Language Models: Benchmark, Datasets, and Beyond
by: Zhang, Fan, et al.
Published: (2025)

Static for Dynamic: Towards a Deeper Understanding of Dynamic Facial Expressions Using Static Expression Data
by: Chen, Yin, et al.
Published: (2024)

GANmut: Generating and Modifying Facial Expressions
by: Surani, Maria
Published: (2024)

Open-Set Facial Expression Recognition
by: Zhang, Yuhang, et al.
Published: (2024)

Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data
by: Sharafi, Masoumeh, et al.
Published: (2025)

MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
by: Kawamura, Ryosuke, et al.
Published: (2025)

Semantic Data Augmentation for Long-tailed Facial Expression Recognition
by: Li, Zijian, et al.
Published: (2024)

BeyondFacial: Identity-Preserving Personalized Generation Beyond Facial Close-ups
by: Zhang, Songsong, et al.
Published: (2025)

Video Joint-Embedding Predictive Architectures for Facial Expression Recognition
by: Eing, Lennart, et al.
Published: (2026)

Generalizable Facial Expression Recognition
by: Zhang, Yuhang, et al.
Published: (2024)

4D Facial Expression Diffusion Model
by: Zou, Kaifeng, et al.
Published: (2023)

Rethinking the Learning Paradigm for Facial Expression Recognition
by: Wang, Weijie, et al.
Published: (2022)

A Perception CNN for Facial Expression Recognition
by: Tian, Chunwei, et al.
Published: (2025)

Gender Stereotyping Impact in Facial Expression Recognition
by: Dominguez-Catena, Iris, et al.
Published: (2022)

On Applicability of Synthetic Datasets for Facial Expression Recognition
by: Azmoudeh, Ali, et al.
Published: (2026)

Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation
by: Kawamura, Ryosuke, et al.
Published: (2025)

Robust Dynamic Facial Expression Recognition
by: Liu, Feng, et al.
Published: (2025)

Navigating Label Ambiguity for Facial Expression Recognition in the Wild
by: Lee, JunGyu, et al.
Published: (2025)

End-to-End Facial Expression Detection in Long Videos
by: Fang, Yini, et al.
Published: (2025)

GCF: Graph Convolutional Networks for Facial Expression Recognition
by: Kassab, Hozaifa, et al.
Published: (2024)

Action Unit Enhance Dynamic Facial Expression Recognition
by: Liu, Feng, et al.
Published: (2025)

Subject-Based Domain Adaptation for Facial Expression Recognition
by: Zeeshan, Muhammad Osama, et al.
Published: (2023)

FacEnhance: Facial Expression Enhancing with Recurrent DDPMs
by: Bouzid, Hamza, et al.
Published: (2024)

Dynamic Resolution Guidance for Facial Expression Recognition
by: Wang, Songpan, et al.
Published: (2024)

Hy-Facial: Hybrid Feature Extraction by Dimensionality Reduction Methods for Enhanced Facial Expression Classification
by: Li, Xinjin, et al.
Published: (2025)

Open-Set Video-based Facial Expression Recognition with Human Expression-sensitive Prompting
by: Liu, Yuanyuan, et al.
Published: (2024)