https://github.com/dmitryryumin/fg-2024-papers

FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!
https://github.com/dmitryryumin/fg-2024-papers

action-recognition affective-computing animation behavioral-analysis biometrics databases emotion-recognition face-and-gesture-image-detection face-biometrics facial-expressions facial-recognition fg fg2024 gait-analysis gesture-recognition hand-gesture-recognition human-pose-estimation sign-language

Last synced: about 2 months ago
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FG 2024 Papers: Explore a comprehensive collection of research papers presented at one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!

• Host: GitHub
• URL: https://github.com/dmitryryumin/fg-2024-papers
• Owner: DmitryRyumin
• License: mit
• Created: 2024-05-17T18:10:25.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-18T16:12:14.000Z (about 1 year ago)
• Last Synced: 2025-02-12T17:46:06.782Z (4 months ago)
• Topics: action-recognition, affective-computing, animation, behavioral-analysis, biometrics, databases, emotion-recognition, face-and-gesture-image-detection, face-biometrics, facial-expressions, facial-recognition, fg, fg2024, gait-analysis, gesture-recognition, hand-gesture-recognition, human-pose-estimation, sign-language
• Homepage:
• Size: 6.17 MB
• Stars: 13
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        


  



  

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FG 2024 Papers: Explore a comprehensive collection of innovative research papers presented at [*FG 2024*](https://fg2024.ieee-biometrics.org/), one of the premier conferences on automatic face and gesture recognition. Seamlessly integrate code implementations for better understanding. ⭐ Experience the cutting edge of progress in facial analysis, gesture recognition, and biometrics with this repository!



    

        

    





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> :point_right: `*` This count includes repositories on GitHub, GitLab, Hugging Face, and distributions on PyPI, while excluding Web Page or GitHub Page links.

---

> [!TIP]

> [*The online version of the FG 2024 Conference Program*](https://fg2024.ieee-biometrics.org/conference-program/), includes a comprehensive table listing all accepted papers, along with the detailed schedule for Pre- and Post-Workshops, Oral Sessions, Demos, and Poster sessions.

---



  

  Other collections of the best AI conferences











  









> [!important]

> Conference table will be up to date all the time.

    

        Conference

        Year

    

    

        2023

        2024

    

    

        Computer Vision (CV)

    

    

        CVPR

        

    

    

        ICCV

         

        

    

    

        ECCV

        

        

    

    

        WACV

        :heavy_minus_sign:

         

    

    

        FG

        :heavy_minus_sign:

        

    

    

        Speech/Signal Processing (SP/SigProc)

    

    

        ICASSP

        

    

    

        INTERSPEECH

         

        

    

    

        ISMIR

         

        :heavy_minus_sign:

    

    

        Natural Language Processing (NLP)

    

    

        EMNLP

        

        

    

    

        Machine Learning (ML)

    

    

        AAAI

        :heavy_minus_sign:

        

    

    

        ICLR

        :heavy_minus_sign:

        

    

    

        ICML

        :heavy_minus_sign:

        

    

    

        NeurIPS

        :heavy_minus_sign:

        

    

---

## Contributors



  









> [!NOTE]

> Contributions to improve the completeness of this list are greatly appreciated. If you come across any overlooked papers, please **feel free to [*create pull requests*](https://github.com/DmitryRyumin/FG-2024-Papers/pulls), [*open issues*](https://github.com/DmitryRyumin/FG-2024-Papers/issues) or contact me via [*email*](mailto:[email protected])**. Your participation is crucial to making this repository even better.

---

## Papers 



  



> [!important]

> Final paper links will be added as soon as the [*proceedings*](https://www.computer.org/csdl/proceedings/1000065) are available.

List of sections

- [Best Reviewed Papers](#best-reviewed-papers)

- [Best Reviewed Student Papers](#best-reviewed-student-papers)

- [Face Biometrics](#face-biometrics)

- [Facial Expressions](#facial-expressions)

- [Human Pose and Motion](#human-pose-and-motion)

- [Gait and Action](#gait-and-action)

- [Hand and Sign Language](#hand-and-sign-language)

- [Animation, Synthesis and Self-Supervision](#animation-synthesis-and-self-supervision)

- [Posters](#posters)

- [Demo presentation](#demo-presentation)



  



### Best Reviewed Papers

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| An Active-Gaze Morphable Model for 3D Gaze Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Occluded Person Retrieval with Hierarchical Feature Optimization | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| High-Resolution Image Enumeration for Low-Resolution Face Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| OpenThermalPose: An Open-Source Annotated Thermal Human Pose Dataset and Initial YOLOv8-Pose Baselines | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Best Reviewed Student Papers

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-1-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| A Unified Model for Gaze Following and Social Gaze Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.08318-b31b1b.svg)](https://arxiv.org/abs/2403.08318) | :heavy_minus_sign: |

| ClipSwap: Towards High Fidelity Face Swapping via Attribute and CLIP-Informed Loss | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Multi-Modal Human Behaviour Graph Representation Learning for Automatic Depression Assessment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Face Biometrics

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-2-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Designing Cross-Race Tests for Forensic Facial Examiners, Super-Recognizers, and Face Recognition Algorithm | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| TetraLoss: Improving the Robustness of Face Recognition against Morphing Attacks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.11598-b31b1b.svg)](https://arxiv.org/abs/2401.11598) | :heavy_minus_sign: |

| Hierarchical Generative Network for Face Morphing Attacks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.11101-b31b1b.svg)](https://arxiv.org/abs/2403.11101) | :heavy_minus_sign: |

| Face Anti-Spoofing via Interaction Learning with Face Image Quality Alignment | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Facial Expressions

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-4-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-2-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.15994-b31b1b.svg)](https://arxiv.org/abs/2403.15994) | :heavy_minus_sign: |

| epsilon-Mesh Attack: A Surface-based Adversarial Point Cloud Attack for Facial Expression Recognition | [![GitHub](https://img.shields.io/github/stars/batuceng/e-mesh-attack?style=flat)](https://github.com/batuceng/e-mesh-attack) | [![arXiv](https://img.shields.io/badge/arXiv-2403.06661-b31b1b.svg)](https://arxiv.org/abs/2403.06661) | :heavy_minus_sign: |

| Distilling Privileged Multimodal Information for Expression Recognition using Optimal Transport | [![GitHub](https://img.shields.io/github/stars/haseebaslam95/PKDOT?style=flat)](https://github.com/haseebaslam95/PKDOT) | [![arXiv](https://img.shields.io/badge/arXiv-2401.15489-b31b1b.svg)](https://arxiv.org/abs/2401.15489) | :heavy_minus_sign: |

| CSTalk: Correlation Supervised Speech-Driven 3D Emotional Facial Animation Generation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.18604-b31b1b.svg)](https://arxiv.org/abs/2404.18604) | :heavy_minus_sign: |



  



### Human Pose and Motion

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-2-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Uncalibrated Multi-View 3D Human Pose Estimation with Geometry Driven Attention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Geometry-Biased Transformer for Robust Multi-View 3D Human Pose Reconstruction | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.17106-b31b1b.svg)](https://arxiv.org/abs/2312.17106) | :heavy_minus_sign: |

| BEAVP: A Bidirectional Enhanced Adversarial Model for Video Prediction | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| CasCalib: Cascaded Calibration for Motion Capture from Sparse Unsynchronized Cameras | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://open.library.ubc.ca/soa/cIRcle/collections/ubctheses/24/items/1.0437869) 
 [![GitHub](https://img.shields.io/github/stars/jamestang1998/CasCalib?style=flat)](https://github.com/jamestang1998/CasCalib) | [![arXiv](https://img.shields.io/badge/arXiv-2405.06845-b31b1b.svg)](https://arxiv.org/abs/2405.06845) | :heavy_minus_sign: |



  



### Gait and Action

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-2-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-2-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Unveiling Gender Effects in Gait Recognition using Conditional-Matched Bootstrap Analysis | [![GitHub](https://img.shields.io/github/stars/azimIbragimov/gait-gender?style=flat)](https://github.com/azimIbragimov/gait-gender) | :heavy_minus_sign: | :heavy_minus_sign: |

| GaitPT: Skeletons are All You Need for Gait Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2308.10623-b31b1b.svg)](https://arxiv.org/abs/2308.10623) | :heavy_minus_sign: |

| Attention Prompt Tuning: Parameter-Efficient Adaptation of Pre-trained Models for Action Recognition | [![GitHub](https://img.shields.io/github/stars/wgcban/apt?style=flat)](https://github.com/wgcban/apt) | [![arXiv](https://img.shields.io/badge/arXiv-2403.06978-b31b1b.svg)](https://arxiv.org/abs/2403.06978) | :heavy_minus_sign: |

| ViewDiffGait: View Pyramid Diffusion for Gait Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Hand and Sign Language

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-2-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-1-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Two Hands are Better than One: Resolving Hand to Hand Intersections via Occupancy Networks | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.05414-b31b1b.svg)](https://arxiv.org/abs/2404.05414) | :heavy_minus_sign: |

| SynthSL: Expressive Humans for Sign Language Image Synthesis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| A Gloss-Free Sign Language Production with Discrete Representation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| In My Perspective, in My Hands: Accurate Egocentric 2D Hand Pose and Action Recognition | [![GitHub](https://img.shields.io/github/stars/wiktormucha/effhandegonet?style=flat)](https://github.com/wiktormucha/effhandegonet) | [![arXiv](https://img.shields.io/badge/arXiv-2404.09308-b31b1b.svg)](https://arxiv.org/abs/2404.09308) | :heavy_minus_sign: |



  



### Animation, Synthesis and Self-Supervision

![Section Papers](https://img.shields.io/badge/Section%20Papers-4-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-2-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-2-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| EAT-Face: Emotion-Controllable Audio-Driven Talking Face Generation via Diffusion Model | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Embedded Representation Learning Network for Animating Styled Video Portrait | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.19038-b31b1b.svg)](https://arxiv.org/abs/2404.19038) | :heavy_minus_sign: |

| Giving a Hand to Diffusion Models: A Two-Stage Approach to Improving Conditional Human Image Generation | [![GitHub](https://img.shields.io/github/stars/apelykh/hand-to-diffusion?style=flat)](https://github.com/apelykh/hand-to-diffusion) | [![arXiv](https://img.shields.io/badge/arXiv-2403.10731-b31b1b.svg)](https://arxiv.org/abs/2403.10731) | :heavy_minus_sign: |

| RS-rPPG: Robust Self-Supervised Learning for rPPG | [![GitHub](https://img.shields.io/github/stars/marukosan93/RS-rPPG?style=flat)](https://github.com/marukosan93/RS-rPPG) | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Posters

![Section Papers](https://img.shields.io/badge/Section%20Papers-87-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-29-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-17-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Efficient Verification-based Face Identification | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2312.13240-b31b1b.svg)](https://arxiv.org/abs/2312.13240) | :heavy_minus_sign: |

| Dataset Infant Anonymization with Pose and Emotion Retention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Face the Needle: Predicting Risk of Fear and Fainting During Blood Donation through Video Analysis | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Intra-Person Camera Adversarial for Intra-Camera Supervised Person Re-Identification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Adaptive Cross-Architecture Mutual Knowledge Distillation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| ASPECD: Adaptable Soft-Biometric Privacy-Enhancement using Centroid Decoding for Face Verification | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Young Labeled Faces in the Wild (YLFW): A Dataset for Children Faces Recognition | [![GitHub](https://img.shields.io/github/stars/visteam-isr-uc/YLFW?style=flat)](https://github.com/visteam-isr-uc/YLFW) | [![arXiv](https://img.shields.io/badge/arXiv-2301.05776-b31b1b.svg)](https://arxiv.org/abs/2301.05776) | :heavy_minus_sign: |

| Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| PointFaceFormer: Local and Global Attention based Transformer for 3D Point Cloud Face Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Subject-based Domain Adaptation for Facial Expression Recognition | [![GitHub](https://img.shields.io/github/stars/osamazeeshan/Subject-Based-Domain-Adaptation-for-FER?style=flat)](https://github.com/osamazeeshan/Subject-Based-Domain-Adaptation-for-FER) | [![arXiv](https://img.shields.io/badge/arXiv-2312.05632-b31b1b.svg)](https://arxiv.org/abs/2312.05632) | :heavy_minus_sign: |

| Efficient Detection of Disguised Faces using Photos/Sketches from Low-Quality Surveillance Footage | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Lip and Speech Synchronization using Supervised Contrastive Learning and Cross-Modal Attention | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| If it's not Enough, Make it so: Reducing Authentic Data Demand in Face Recognition through Synthetic Faces | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.03537-b31b1b.svg)](https://arxiv.org/abs/2404.03537) | :heavy_minus_sign: |

| Data Augmentation Techniques for Enhanced Facial Landmarks Detection in Patients with Repaired Cleft Lip and Palate | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Deep Adaptative Spectral Zoom for Improved Remote Heart Rate Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.06902-b31b1b.svg)](https://arxiv.org/abs/2403.06902) | :heavy_minus_sign: |

| Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis | [![GitHub](https://img.shields.io/github/stars/dkollias/Fair-Consistent-Affect-Analysis?style=flat)](https://github.com/dkollias/Fair-Consistent-Affect-Analysis) | [![arXiv](https://img.shields.io/badge/arXiv-2405.06841-b31b1b.svg)](https://arxiv.org/abs/2405.06841) | :heavy_minus_sign: |

| ONOT: a High-Quality ICAO-Compliant Synthetic Mugshot Dataset | [![WEB Page](https://img.shields.io/badge/WEB-Page-159957.svg)](https://miatbiolab.csr.unibo.it/icao-synthetic-dataset/) | [![arXiv](https://img.shields.io/badge/arXiv-2404.11236-b31b1b.svg)](https://arxiv.org/abs/2404.11236) | :heavy_minus_sign: |

| RFIS-FPI: Reversible Face Image Steganography Neural Network for Face Privacy Interactions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Unlocking the Black Box: Concept-based Modeling for Interpretable Affective Computing Applications | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Social-MAE: A Transformer-based Multimodal Autoencoder for Face and Voice | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues | [![GitHub](https://img.shields.io/github/stars/sbelharbi/interpretable-fer-aus?style=flat)](https://github.com/sbelharbi/interpretable-fer-aus) | [![arXiv](https://img.shields.io/badge/arXiv-2402.00281-b31b1b.svg)](https://arxiv.org/abs/2402.00281) | :heavy_minus_sign: |

| AerialFace: A Light Weight Framework for Unmanned Aerial Vehicle Face Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| QGFace: Quality-Guided Joint Training for Mixed Quality Face Recognition | [![GitHub](https://img.shields.io/github/stars/IsidoreSong/QGFace?style=flat)](https://github.com/IsidoreSong/QGFace) | [![arXiv](https://img.shields.io/badge/arXiv-2312.17494-b31b1b.svg)](https://arxiv.org/abs/2312.17494) | :heavy_minus_sign: |

| EmoCLIP: A Vision-Language Method for Zero-Shot Video Facial Expression Recognition | [![GitHub](https://img.shields.io/github/stars/NickyFot/EmoCLIP?style=flat)](https://github.com/NickyFot/EmoCLIP) | [![arXiv](https://img.shields.io/badge/arXiv-2310.16640-b31b1b.svg)](https://arxiv.org/abs/2310.16640) | :heavy_minus_sign: |

| In-Domain Inversion for Improved 3D Face Alignment on Asymmetrical Expressions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| 3D Face Modeling via Weakly-Supervised Disentanglement Network Joint Identity-Consistency Prior | [![GitHub](https://img.shields.io/github/stars/liguohao96/WSDF?style=flat)](https://github.com/liguohao96/WSDF) | [![arXiv](https://img.shields.io/badge/arXiv-2404.16536-b31b1b.svg)](https://arxiv.org/abs/2404.16536) | :heavy_minus_sign: |

| Expression-Aware Masking and Progressive Decoupling for Cross-Database Facial Expression Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Explainable Face Verification via Feature-Guided Gradient Backpropagation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.04549-b31b1b.svg)](https://arxiv.org/abs/2403.04549) | :heavy_minus_sign: |

| One-Stage Open-Vocabulary Temporal Action Detection Leveraging Temporal Multi-Scale and Action Label Features | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.19542-b31b1b.svg)](https://arxiv.org/abs/2404.19542) | :heavy_minus_sign: |

| Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition | [![GitHub](https://img.shields.io/github/stars/o-ikne/SkelMAE?style=flat)](https://github.com/o-ikne/SkelMAE) | :heavy_minus_sign: | :heavy_minus_sign: |

| Human Action Recognition with Multi-Level Granularity and Pair-Wise Hyper GCN | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| MGRFormer: A Multimodal Transformer Approach for Surgical Gesture Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| CCDb-HG: Novel Annotations and Gaze-Aware Representations for Head Gesture Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| GestSpoof: Gesture based Spatio-Temporal Representation Learning for Robust Fingerprint Presentation Attack Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Spatio Temporal Sparse Graph Convolution Network for Hand Gesture Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Crowd Detection via Point Localization with Diffusion Models | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| MIMIC-Pose: Implicit Membership Discrimination of Body Joints for Human Pose Estimation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| DPA-2D: Depth Propagation and Alignment with 2D Observations Guidance for Human Mesh Recovery | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Evaluating Recent 2D Human Pose Estimators for 2D-3D Pose Lifting | [![GitHub](https://img.shields.io/github/stars/TaatiTeam/2DEstimatorEval?style=flat)](https://github.com/TaatiTeam/2DEstimatorEval) | :heavy_minus_sign: | :heavy_minus_sign: |

| The Paradox of Motion: Evidence for Spurious Correlations in Skeleton-based Gait Recognition Models | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.08320-b31b1b.svg)](https://arxiv.org/abs/2402.08320) | :heavy_minus_sign: |

| Improving 2D Human Pose Estimation in Unseen Camera Views with Synthetic Data | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| DualH: A Dual Hierarchical Model for Temporal Action Localization | [![GitHub](https://img.shields.io/github/stars/zz202/DualH?style=flat)](https://github.com/zz202/DualH) | :heavy_minus_sign: | :heavy_minus_sign: |

| HR-xNet: A Novel High-Resolution Network for Human Pose Estimation with Low Resource Consumption | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Cross-Block Fine-Grained Semantic Cascade for Skeleton-based Sports Action Recognition | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.19383-b31b1b.svg)](https://arxiv.org/abs/2404.19383) | :heavy_minus_sign: |

| HM-Auth: Redefining User Authentication in Immersive Virtual World through Hand Movement Signatures | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| A Data-Driven Representation for Sign Language Production | [![GitHub](https://img.shields.io/github/stars/walsharry/VQ_SLP_Demos?style=flat)](https://github.com/walsharry/VQ_SLP_Demos) | [![arXiv](https://img.shields.io/badge/arXiv-2404.11499-b31b1b.svg)](https://arxiv.org/abs/2404.11499) | :heavy_minus_sign: |

| Diversity-Aware Sign Language Production through a Pose Encoding Variational Autoencoder | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Resource-Efficient Gesture Recognition using Low-Resolution Thermal Camera via Spiking Neural Networks and Sparse Segmentation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2401.06563-b31b1b.svg)](https://arxiv.org/abs/2401.06563) | :heavy_minus_sign: |

| Transfer Learning for Cross-Dataset Isolated Sign Language Recognition in Under-Resourced Datasets | [![GitHub](https://img.shields.io/github/stars/alpk/tid-supervised-transfer-learning-dataset?style=flat)](https://github.com/alpk/tid-supervised-transfer-learning-dataset) | [![arXiv](https://img.shields.io/badge/arXiv-2403.14534-b31b1b.svg)](https://arxiv.org/abs/2403.14534) | :heavy_minus_sign: |

| Patch-based Privacy Attention for Weakly-Supervised Privacy-Preserving Action Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Boosting Gesture Recognition with an Automatic Gesture Annotation Framework | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Towards Better Communication: Refining Hand Pose Estimation in Low-Resolution Sign Language Videos | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Quantifying Biometric Characteristics of Hand Gestures through Feature Space Probing and Identity-Level Cross-Gesture Disentanglement | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Hand Graph Topology Selection for Skeleton-based Sign Language Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Unconstrained Hand Recognition using Thermal Infrared Sensing of Dorsal Veins | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Integrating a Hierarchical Structure of Situated Human Motion in Multi-Task Learning for Professional Gesture Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Towards High Fidelity and Accurate Face Swapping | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Face-based Strategies for Evaluating Asymmetry and Speech Articulation in Patients with Craniofacial Anomalies | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Audio-Visual Person Verification based on Recursive Fusion of Joint Cross-Attention | [![GitHub](https://img.shields.io/github/stars/praveena2j/RJCAforSpeakerVerification?style=flat)](https://github.com/praveena2j/RJCAforSpeakerVerification) | [![arXiv](https://img.shields.io/badge/arXiv-2403.04654-b31b1b.svg)](https://arxiv.org/abs/2403.04654) | :heavy_minus_sign: |

| VoxAtnNet: A 3D Point Clouds Convolutional Neural Network for Generalizable Face Presentation Attack Detection | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.12680-b31b1b.svg)](https://arxiv.org/abs/2404.12680) | :heavy_minus_sign: |

| Multi-View Consistent 3D GAN Inversion via Bidirectional Encoder | [![GitHub](https://img.shields.io/github/stars/WHZMM/BiDiE?style=flat)](https://github.com/WHZMM/BiDiE) | :heavy_minus_sign: | :heavy_minus_sign: |

| Context-based Dataset for Analysis of Videos of Autistic Children | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Seeing and Hearing what has not been Said; A Multimodal Client Behavior Classifier in Motivational Interviewing with Interpretable Fusion | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2309.14398-b31b1b.svg)](https://arxiv.org/abs/2309.14398) | :heavy_minus_sign: |

| SignAvatar: Sign Language 3D Motion Reconstruction and Generation | [![GitHub Page](https://img.shields.io/badge/GitHub-Page-159957.svg)](https://dongludeeplearning.github.io/SignAvatar.html) | [![arXiv](https://img.shields.io/badge/arXiv-2405.07974-b31b1b.svg)](https://arxiv.org/abs/2405.07974) | :heavy_minus_sign: |

| PortraitDAE: Line-Drawing Portraits Style Transfer from Photos via Diffusion Autoencoder with Meaningful Encoded Noise | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| FE-Adapter: Adapting Image-based Emotion Classifiers to Videos | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Latent Embedding Clustering for Occlusion Robust Head Pose Estimation | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2403.20251-b31b1b.svg)](https://arxiv.org/abs/2403.20251) | :heavy_minus_sign: |

| Pivotal Tuning Editing: Towards Disentangled Wrinkle Editing with GANs | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Data-Driven but Privacy-Conscious: Pedestrian Dataset De-Identification via Full-Body Person Synthesis | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2306.11710-b31b1b.svg)](https://arxiv.org/abs/2306.11710) | :heavy_minus_sign: |

| CrossGaze: A Strong Method for 3D Gaze Estimation in the Wild | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2402.08316-b31b1b.svg)](https://arxiv.org/abs/2402.08316) | :heavy_minus_sign: |

| Survey of Automated Methods for Nonverbal Behavior Analysis in Parent-Child Interactions | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Naive Data Augmentation Might be Toxic: Data-Prior Guided Self-Supervised Representation Learning for Micro-Gesture Recognition | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| SMCTL: Subcarrier Masking Contrastive Transfer Learning for Human Gesture Recognition with Passive Wi-Fi Sensing | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Semantic-Aware Detail Enhancement for Blind Face Restoration | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Discovering Interpretable Directions in the Semantic Latent Space of Diffusion Models | [![GitHub](https://img.shields.io/github/stars/JonasLoos/h-space-directions?style=flat)](https://github.com/JonasLoos/h-space-directions) | [![arXiv](https://img.shields.io/badge/arXiv-2303.11073-b31b1b.svg)](https://arxiv.org/abs/2303.11073) | :heavy_minus_sign: |

| Breaking Template Protection: Reconstruction of Face Images from Protected Facial Templates | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| The Seven Faces of Stress: Understanding Facial Activity Patterns during Cognitive Stress | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Visual Coherence Face Anonymization Algorithm based on Dynamic Identity Perception | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| PyraMoT: A Novel Framework for Enhanced Facial Thermal Landmarks Detection | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Visual Saliency Guided Gaze Target Estimation with Limited Labels | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Hyp-OC: Hyperbolic One Class Classifier for Face Anti-Spoofing | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Dynamic Cross Attention for Audio-Visual Person Verification | [![GitHub](https://img.shields.io/github/stars/praveena2j/DCAforPersonVerification?style=flat)](https://github.com/praveena2j/DCAforPersonVerification) | [![arXiv](https://img.shields.io/badge/arXiv-2403.04661-b31b1b.svg)](https://arxiv.org/abs/2403.04661) | :heavy_minus_sign: |

| Enhancing Privacy in Face Analytics using Fully Homomorphic Encryption | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.16255-b31b1b.svg)](https://arxiv.org/abs/2404.16255) | :heavy_minus_sign: |

| CribNet: Enhancing Infant Safety in Cribs through Vision-based Hazard Detection | [![GitHub](https://img.shields.io/github/stars/ostadabbas/CribNet?style=flat)](https://github.com/ostadabbas/CribNet) | :heavy_minus_sign: | :heavy_minus_sign: |

| 3D Face Morphing Attack Generation using Non-Rigid Registration | :heavy_minus_sign: | [![arXiv](https://img.shields.io/badge/arXiv-2404.15765-b31b1b.svg)](https://arxiv.org/abs/2404.15765) | :heavy_minus_sign: |

| BTVSL: A Novel Sentence-Level Annotated Dataset for Bangla Sign Language Translation | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |



  



### Demo presentation

![Section Papers](https://img.shields.io/badge/Section%20Papers-2-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-0-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-0-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-0-FF0000)

| **Title** |  |  |  |

|-----------|:--------:|:---------:|:---------:|

| Russian Sign Language Learning Simulator | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

| Expanding PyAFAR: A Novel Privacy-Preserving Infant AU Detector | :heavy_minus_sign: | :heavy_minus_sign: | :heavy_minus_sign: |

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## Key Terms



    



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## Star History