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https://github.com/dmitryryumin/wacv-2024-papers
WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
https://github.com/dmitryryumin/wacv-2024-papers
3d-computer-vision 3d-sensor adversarial-attacks autonomous-driving biometrics computer-vision datasets face-recognition generative-models gesture-recognition image-recognition image-understanding low-level machine-learning robotics video-recognition vision-transformer visualization wacv wacv2024
Last synced: 7 days ago
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WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!
- Host: GitHub
- URL: https://github.com/dmitryryumin/wacv-2024-papers
- Owner: DmitryRyumin
- License: mit
- Created: 2024-01-04T15:44:58.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-05-18T16:31:56.000Z (6 months ago)
- Last Synced: 2024-08-08T11:31:43.756Z (3 months ago)
- Topics: 3d-computer-vision, 3d-sensor, adversarial-attacks, autonomous-driving, biometrics, computer-vision, datasets, face-recognition, generative-models, gesture-recognition, image-recognition, image-understanding, low-level, machine-learning, robotics, video-recognition, vision-transformer, visualization, wacv, wacv2024
- Language: Python
- Homepage: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
- Size: 7.44 MB
- Stars: 69
- Watchers: 4
- Forks: 9
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
General Information
Repository Size and Activity
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Application
Progress Status
Main
Workshops
---
WACV 2024 Papers: Explore a comprehensive collection of cutting-edge research papers presented at [*WACV 2024*](https://wacv2024.thecvf.com/), the premier computer vision conference. Keep up to date with the latest advances in computer vision and deep learning. Code implementations included. :star: the repository for the development of visual intelligence!
Main
Workshops
> :point_right: `*` This count includes repositories on GitHub, GitLab, Hugging Face, and distributions on PyPI, while excluding Web Page or GitHub Page links.
---
> [!TIP]
> Explore the [*WACV 2024 online conference list*](https://openaccess.thecvf.com/WACV2024?day=all) with a comprehensive collection of accepted papers. Access additional resources such as PDFs, Supplementary Material, arXiv links and BibTeX citations for in-depth exploration of the research presented.---
> [!TIP]
> [*The PDF version of the WACV 2024 Conference Programme*](https://drive.google.com/file/d/14e5ssb2yhODK127IkcUtaO9EKd63rKak/view), comprises a list of all accepted papers, their presentation order, as well as the designated presentation times.---
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/WACV-2024-Papers/pulls), [*open issues*](https://github.com/DmitryRyumin/WACV-2024-Papers/issues) or contact me via [*email*](mailto:[email protected])**. Your participation is crucial to making this repository even better.---
## Papers
Section
Papers
Main
Orals
Machine Learning: Architectures, Formulations, Algorithms
Image/Video Recognition and Understanding; Low-Level and Physics-based Vision
Generative Models; Biometrics; Edge Computing; Visualization
3D; Adversarial and Defense; Explainable, Fair, Privacy, and Ethical; Vision + X
People; Automotive; Medical; Environmental; Robotics
Posters
Image Recognition and Understanding
Low-Level and Physics-based Vision
Machine Learning: Architectures, Formulations, Algorithms
3D Computer Vision
Adversarial Learning, Adversarial Attack and Defense Methods
Biometrics, Face, Gesture, Body Pose
Computational Photography, Image and Video Synthesis
Datasets and Evaluation
Explainable, Fair, Accountable, Privacy-Preserving, Ethical Computer Vision
Generative Models for Image, Video, 3D, etc
Vision + Language and/or Other Modalities
Visualization
Video Recognition and Understanding
Agriculture
Animals / Insects
Arts / Games / Social Media
Navigation and Autonomous Driving
Biomedical / Healthcare / Medicine
Commercial / Retail
Education
Embedded Sensing / Real-Time Techniques
Environmental Monitoring / Climate Change / Ecology
Food Science and Nutrition
Psychology and Cognitive Science
Photogrammetry and Remote Sensing
Robotics
Smartphones / End User Devices
Computer Vision for Social Good
Structural Engineering / Civil Engineering
Virtual / Augmented Reality
Workshops
Computer Vision with Small Data: A Focus on Infants and Endangered Animals
Real-World Surveillance: Applications and Challenges
Image / Video / Audio Quality in Computer Vision and Generative AI
Pretraining
Smart Computing and Internet of Things Design
Vision-based Structural Inspections in Civil Engineering
Physical Retail AI
Complex-Valued Deep Learning and SARFish Challenge
3D Geometry Generation for Scientific Computing
Computer Vision for Earth Observation Applications
Maritime Computer Vision
Face Recognition Challenge in the Era of Synthetic Data
Large Language and Vision Models for Autonomous Driving
Automated Spatial and Temporal Anomaly Detection
Manipulation, Adversarial and Presentation Attacks in Biometrics
Vision-based Understanding for Low-Resource Languages
Demographic Variations in Performance of Biometric Algorithms
Tutorials
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## Key Terms
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## Star History