https://github.com/dmitryryumin/iccv-2023-papers
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, 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/iccv-2023-papers
3d-graphics 3d-reconstruction biometrics computer-vision datasets deep-learning explainable-ai face-recognition gesture-recognition iccv iccv2023 image-processing image-synthesis multimodal-learning pattern-recognition photogrammetry pose-estimation robotics transfer-learning video-synthesis
Last synced: 5 months ago
JSON representation
ICCV 2023 Papers: Discover cutting-edge research from ICCV 2023, 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/iccv-2023-papers
- Owner: DmitryRyumin
- License: mit
- Created: 2023-09-04T09:35:11.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2024-09-01T01:53:09.000Z (about 1 year ago)
- Last Synced: 2025-05-16T07:07:34.197Z (5 months ago)
- Topics: 3d-graphics, 3d-reconstruction, biometrics, computer-vision, datasets, deep-learning, explainable-ai, face-recognition, gesture-recognition, iccv, iccv2023, image-processing, image-synthesis, multimodal-learning, pattern-recognition, photogrammetry, pose-estimation, robotics, transfer-learning, video-synthesis
- Language: Python
- Homepage: https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers
- Size: 16.8 MB
- Stars: 953
- Watchers: 14
- Forks: 43
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
![]()
General Information
![]()
![]()
![]()
![]()
Repository Size and Activity
![]()
![]()
Contribution Statistics
![]()
![]()
![]()
![]()
![]()
Other Metrics
![]()
![]()
![]()
![]()
![]()
GitHub Actions
![]()
![]()
![]()
Application
![]()
Progress Status
Main
![]()
![]()
Workshops
![]()
![]()
---
ICCV 2023 Papers: Explore a comprehensive collection of cutting-edge research papers presented at [*ICCV 2023*](https://iccv2023.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!
 -b31b1b) %20*-1D7FBF) %20*-FF0000)
> :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 ICCV 2023 Conference Programme*](https://iccv2023.thecvf.com/main.conference.program-107.php), comprises a list of all accepted full 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/ICCV-2023-Papers/pulls), [*open issues*](https://github.com/DmitryRyumin/ICCV-2023-Papers/issues) or contact me via [*email*](mailto:neweraairesearch@gmail.com)**. Your participation is crucial to making this repository even better.---
## [Papers](https://openaccess.thecvf.com/ICCV2023?day=all)
Section
Papers
![]()
![]()
![]()
Main
3D from Multi-View and Sensors
![]()
![]()
![]()
![]()
Adversarial Attack and Defense
![]()
![]()
![]()
![]()
Vision and Robotics
![]()
![]()
![]()
![]()
Vision and Graphics
![]()
![]()
![]()
![]()
Segmentation, Grouping and Shape Analysis
![]()
![]()
![]()
![]()
Recognition: Categorization
![]()
![]()
![]()
![]()
Explainable AI for CV
![]()
![]()
![]()
![]()
Neural Generative Models
![]()
![]()
![]()
![]()
Vision and Language
![]()
![]()
![]()
![]()
Vision, Graphics, and Robotics
![]()
![]()
![]()
![]()
Privacy, Security, Fairness, and Explainability
![]()
![]()
![]()
![]()
Fairness, Privacy, Ethics, Social-good, Transparency, Accountability in Vision
![]()
![]()
![]()
![]()
First Person (Egocentric) Vision
![]()
![]()
![]()
![]()
Representation Learning
![]()
![]()
![]()
![]()
Deep Learning Architectures and Techniques
![]()
![]()
![]()
![]()
Recognition: Detection
![]()
![]()
![]()
![]()
Image and Video Synthesis
![]()
![]()
![]()
![]()
Vision and Audio
![]()
![]()
![]()
![]()
Recognition, Segmentation, and Shape Analysis
![]()
![]()
![]()
![]()
Generative AI
![]()
![]()
![]()
![]()
Humans, 3D Modeling, and Driving
![]()
![]()
![]()
![]()
Low-Level Vision and Theory
![]()
![]()
![]()
![]()
Navigation and Autonomous Driving
![]()
![]()
![]()
![]()
3D from a Single Image and Shape-from-X
![]()
![]()
![]()
![]()
Motion Estimation, Matching and Tracking
![]()
![]()
![]()
![]()
Action and Event Understanding
![]()
![]()
![]()
![]()
Computational Imaging
![]()
![]()
![]()
![]()
Embodied Vision: Active Agents, Simulation
![]()
![]()
![]()
![]()
Recognition: Retrieval
![]()
![]()
![]()
![]()
Transfer, Low-Shot, Continual, Long-Tail Learning
![]()
![]()
![]()
![]()
Low-Level and Physics-based Vision
![]()
![]()
![]()
![]()
Computer Vision Theory
![]()
![]()
![]()
![]()
Video Analysis and Understanding
![]()
![]()
![]()
![]()
Object Pose Estimation and Tracking
![]()
![]()
![]()
![]()
3D Shape Modeling and Processing
![]()
![]()
![]()
![]()
Human Pose/Shape Estimation
![]()
![]()
![]()
![]()
Transfer, Low-Shot, and Continual Learning
![]()
![]()
![]()
![]()
Self-, Semi-, and Unsupervised Learning
![]()
![]()
![]()
![]()
Self-, Semi-, Meta-, Unsupervised Learning
![]()
![]()
![]()
![]()
Photogrammetry and Remote Sensing
![]()
![]()
![]()
![]()
Efficient and Scalable Vision
![]()
![]()
![]()
![]()
Machine Learning (other than Deep Learning)
![]()
![]()
![]()
![]()
Document Analysis and Understanding
![]()
![]()
![]()
![]()
Biometrics
![]()
![]()
![]()
![]()
Datasets and Evaluation
![]()
![]()
![]()
![]()
Faces and Gestures
![]()
![]()
![]()
![]()
Medical and Biological Vision; Cell Microscopy
![]()
![]()
![]()
![]()
Scene Analysis and Understanding
![]()
![]()
![]()
![]()
Multimodal Learning
![]()
![]()
![]()
![]()
Human-in-the-Loop Computer Vision
![]()
![]()
![]()
![]()
Image and Video Forensics
![]()
![]()
![]()
![]()
Geometric Deep Learning
![]()
![]()
![]()
![]()
Vision Applications and Systems
![]()
![]()
![]()
![]()
Machine Learning and Dataset
![]()
![]()
![]()
![]()
Workshops
1st Workshop on Scene Graphs and Graph Representation Learning
![]()
![]()
![]()
![]()
4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop
![]()
![]()
![]()
![]()
What is Next in Multimodal Foundation Models?
![]()
![]()
![]()
![]()
Workshop and Challenge on DeepFake Analysis and Detection
![]()
![]()
![]()
![]()
8th Workshop on Computer Vision in Plant Phenotyping and Agriculture
![]()
![]()
![]()
![]()
Workshop on New Ideas in Vision Transformers
![]()
![]()
![]()
![]()
Representation Learning with very Limited Images: The Potential of Self-, Synthetic- and Formula-Supervision
![]()
![]()
![]()
![]()
To NeRF or not to NeRF: A View Synthesis Challenge for Human Heads
![]()
![]()
![]()
![]()
Workshop on Resource Efficient Deep Learning for Computer Vision
Will soon be added
1st Workshop on Computer Vision Aided Architectural Design
4th Workshop on Electronic Cultural Heritage
Solving CAD History and pArameters Recovery from Point Clouds and 3D Scans
Visual Object Tracking and Segmentation Challenge
11th Workshop on Assistive Computer Vision and Robotics
1st Workshop on Open-Vocabulary 3D Scene Understanding
Recovering 6D Object Pose
Visual Perception for Navigation in Human Environments: The JackRabbot Human Motion Forecasting Dataset and Benchmark
Women in Computer Vision
2nd Workshop on Computer Vision for Automated Medical Diagnosis
5th Workshop on Closing the Loop Between Vision and Language
AI for 3D Content Creation
AI for Creative Video Editing and Understanding
Artificial Social Intelligence Workshop and Challenge
International Workshop on Analysis and Modeling of Faces and Gestures
2nd ROAD workshop and Challenge: Event Detection for Situation Awareness in Autonomous Driving
Visual Continual Learning
Workshop on Adversarial Robustness in the Real World
Artificial Intelligence for Humanitarian Assistance and Disaster Response
BioImage Computing Workshop
Robustness and Reliability of Autonomous Vehicles in the Open-World
LatinX in AI Research Workshop
2nd Computer Vision for Metaverse Workshop
2nd Workshop and Challenges for Out-of-Distribution Generalization in Computer Vision
Uncertainty Estimation for Computer Vision
![]()
![]()
![]()
![]()
Vision-and-Language Algorithmic Reasoning Workshop
Will soon be added
---
## Key Terms
![]()
---
## Star History