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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!

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<table align="center">
 <tr>
 <td>General Information</td>
 <td>
 <a href="https://github.com/sindresorhus/awesome">
 <img src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg" alt="Awesome">
 </a>
 <a href="https://fg2024.ieee-biometrics.org/">
 <img src="http://img.shields.io/badge/FG-2024-001B37.svg" alt="Conference">
 </a>
 <img src="https://img.shields.io/badge/version-v0.0.0-rc0" alt="Version">
 <a href ="https://github.com/DmitryRyumin/FG-2024-Papers/blob/main/LICENSE">
 <img src="https://img.shields.io/badge/License-MIT-green.svg" alt="License: MIT">
 </a>
 </td>
 </tr>
 <tr>
 <td>Repository Size and Activity</td>
 <td>
 <img src="https://img.shields.io/github/repo-size/DmitryRyumin/FG-2024-Papers" alt="GitHub repo size">
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/commits/main/">
 <img src="https://img.shields.io/github/commit-activity/t/dmitryryumin/FG-2024-Papers" alt="GitHub commit activity (branch)">
 </a>
 </td>
 </tr>
 <tr>
 <td>Contribution Statistics</td>
 <td>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/graphs/contributors">
 <img src="https://img.shields.io/github/contributors/dmitryryumin/FG-2024-Papers" alt="GitHub contributors">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/issues?q=is%3Aissue+is%3Aclosed">
 <img src="https://img.shields.io/github/issues-closed/DmitryRyumin/FG-2024-Papers" alt="GitHub closed issues">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/issues">
 <img src="https://img.shields.io/github/issues/DmitryRyumin/FG-2024-Papers" alt="GitHub issues">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/pulls?q=is%3Apr+is%3Aclosed">
 <img src="https://img.shields.io/github/issues-pr-closed/DmitryRyumin/FG-2024-Papers" alt="GitHub closed pull requests">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/pulls">
 <img src="https://img.shields.io/github/issues-pr/dmitryryumin/FG-2024-Papers" alt="GitHub pull requests">
 </a>
 </td>
 </tr>
 <tr>
 <td>Other Metrics</td>
 <td>
 <img src="https://img.shields.io/github/last-commit/DmitryRyumin/FG-2024-Papers" alt="GitHub last commit">
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/watchers">
 <img src="https://img.shields.io/github/watchers/dmitryryumin/FG-2024-Papers?style=flat" alt="GitHub watchers">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/forks">
 <img src="https://img.shields.io/github/forks/dmitryryumin/FG-2024-Papers?style=flat" alt="GitHub forks">
 </a>
 <a href="https://github.com/DmitryRyumin/FG-2024-Papers/stargazers">
 <img src="https://img.shields.io/github/stars/dmitryryumin/FG-2024-Papers?style=flat" alt="GitHub Repo stars">
 </a>
 <img src="https://api.visitorbadge.io/api/combined?path=https%3A%2F%2Fgithub.com%2FDmitryRyumin%2FFG-2024-Papers&label=Visitors&countColor=%23263759&style=flat" alt="Visitors">
 </td>
 </tr>
 <tr>
 <td>Application</td>
 <td>
 <a href="https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers" style="float:left;">
 <img src="https://img.shields.io/badge/🤗-NewEraAI--Papers-FFD21F.svg" alt="App" />
 </a>
 </td>
 </tr>
 <tr>
 <td colspan="2" align="center">Progress Status</td>
 </tr>
 <tr>
 <td>Main</td>
 <td>
 
 <div style="float:left;">
 <img src="https://geps.dev/progress/50?successColor=006600" alt="" />
 <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/completed_checkmark_done.svg" width="25" alt="" />
 </div>
 </td>
 </tr>
</table>

---

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!

> :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.

---

<a href="https://github.com/DmitryRyumin/NewEraAI-Papers" style="float:left;">
 <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/arrow_click_cursor_pointer.png" width="25" alt="" />
 Other collections of the best AI conferences
</a>

> [!important]
> Conference table will be up to date all the time.

<table>
 <tr>
 <td rowspan="2" align="center">Conference</td>
 <td colspan="2" align="center">Year</td>
 </tr>
 <tr>
 <td colspan="1" align="center">2023</td>
 <td colspan="1" align="center">2024</td>
 </tr>
 <tr>
 <td colspan="3" align="center">Computer Vision (CV)</td>
 </tr>
 <tr>
 <td>CVPR</td>
 <td colspan="2" align="center"><a href="https://github.com/DmitryRyumin/CVPR-2023-24-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/CVPR-2023-24-Papers?style=flat" alt="" /></a></td>
 </tr>
 <tr>
 <td>ICCV</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/ICCV-2023-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/ICCV-2023-Papers?style=flat" alt="" />&nbsp;<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/done.svg" width="20" alt="" /></a></td>
 <td align="center"><img src="https://img.shields.io/badge/Not%20Scheduled-CC5540" alt=""/></td>
 </tr>
 <tr>
 <td>ECCV</td>
 <td align="center"><img src="https://img.shields.io/badge/Not%20Scheduled-CC5540" alt=""/></td>
 <td align="center"><img src="https://img.shields.io/badge/October-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
 <tr>
 <td>WACV</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/WACV-2024-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/WACV-2024-Papers?style=flat" alt="" />&nbsp;<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/done.svg" width="20" alt="" /></a></td>
 </tr>
 <tr>
 <td>FG</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/FG-2024-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/FG-2024-Papers?style=flat" alt="" /></a></td>
 </tr>
 <tr>
 <td colspan="3" align="center">Speech/Signal Processing (SP/SigProc)</td>
 </tr>
 <tr>
 <td>ICASSP</td>
 <td colspan="2" align="center"><a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/ICASSP-2023-24-Papers?style=flat" alt="" /></a></td>
 </tr>
 <tr>
 <td>INTERSPEECH</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/INTERSPEECH-2023-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/INTERSPEECH-2023-Papers?style=flat" alt="" />&nbsp;<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/done.svg" width="20" alt="" /></a></td>
 <td align="center"><img src="https://img.shields.io/badge/September-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
 <tr>
 <td>ISMIR</td>
 <td align="center"><a href="https://github.com/yamathcy/ISMIR-2023-Papers" target="_blank"><img src="https://img.shields.io/github/stars/yamathcy/ISMIR-2023-Papers?style=flat" alt="" />&nbsp;<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/done.svg" width="20" alt="" /></a></td>
 <td align="center">:heavy_minus_sign:</td>
 </tr>
 <tr>
 <td colspan="3" align="center">Natural Language Processing (NLP)</td>
 </tr>
 <tr>
 <td>EMNLP</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/EMNLP-2023-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/EMNLP-2023-Papers?style=flat" alt="" /></a></td>
 <td align="center"><img src="https://img.shields.io/badge/December-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
 <tr>
 <td colspan="3" align="center">Machine Learning (ML)</td>
 </tr>
 <tr>
 <td>AAAI</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><a href="https://github.com/DmitryRyumin/AAAI-2024-Papers" target="_blank"><img src="https://img.shields.io/github/stars/DmitryRyumin/AAAI-2024-Papers?style=flat" alt="" /></a></td>
 </tr>
 <tr>
 <td>ICLR</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><img src="https://img.shields.io/badge/May-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
 <tr>
 <td>ICML</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><img src="https://img.shields.io/badge/July-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
 <tr>
 <td>NeurIPS</td>
 <td align="center">:heavy_minus_sign:</td>
 <td align="center"><img src="https://img.shields.io/badge/December-white?logo=github&labelColor=b31b1b" alt="" /></td>
 </tr>
</table>

---

## 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:neweraairesearch@gmail.com)**. Your participation is crucial to making this repository even better.

---

## <a href="https://fg2024.ieee-biometrics.org/" target="_blank">Papers <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/ai.svg" width="30" alt="" /></a>

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

<details open>
<summary>List of sections<a id="sections"></a></summary>

- [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)

</details>

### 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)

### 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)

### 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)

### 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)

### 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)

### 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)

### 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)

### 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)

### 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** | <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/github_code_developer.svg" width="27" alt="" /> | <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/arxiv-logo.svg" width="45" alt="" /> | <img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/video.svg" width="27" alt="" /> |
|-----------|:--------:|:---------:|:---------:|
| 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

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