CVPR 2025 Call for Papers
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) is the premier annual computer vision event, bringing together researchers and practitioners from academia, industry, and government. CVPR 2025 will be held in Minneapolis, Minnesota, from June 14-19, 2025.
The CVPR 2025 Call for Papers is now open. Researchers are invited to submit original and unpublished research papers on all aspects of computer vision and pattern recognition, including:
- Object detection and recognition
- Image segmentation and understanding
- Video analysis and understanding
- Machine learning for computer vision
- Applications of computer vision
All submissions will be peer-reviewed by a panel of experts, and accepted papers will be presented at the conference. CVPR 2025 will also feature a number of invited talks, workshops, and tutorials.
The deadline for paper submissions is January 15, 2025. For more information, please visit the CVPR 2025 website.
1. Scope
The scope of the CVPR 2025 Call for Papers is broad, encompassing a wide range of topics in computer vision and pattern recognition. This reflects the interdisciplinary nature of the field, which draws on techniques from computer science, mathematics, and engineering. The conference welcomes submissions on both theoretical and applied aspects of computer vision, from foundational algorithms to real-world applications.
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Object Detection and Recognition
Object detection and recognition are fundamental tasks in computer vision, with applications in areas such as surveillance, robotics, and medical imaging. The CVPR 2025 Call for Papers invites submissions on new methods for detecting and recognizing objects in images and videos, including both supervised and unsupervised approaches.
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Image Segmentation and Understanding
Image segmentation is the process of dividing an image into different regions, each of which corresponds to a different object or part of an object. Image segmentation is used in a variety of applications, such as medical imaging, remote sensing, and content-based image retrieval. The CVPR 2025 Call for Papers invites submissions on new methods for image segmentation, including both traditional and deep learning-based approaches.
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Video Analysis and Understanding
Video analysis and understanding is a challenging task, due to the large amount of data involved and the temporal nature of the data. The CVPR 2025 Call for Papers invites submissions on new methods for video analysis and understanding, including both unsupervised and supervised approaches.
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Machine Learning for Computer Vision
Machine learning is playing an increasingly important role in computer vision, providing new methods for solving a variety of problems. The CVPR 2025 Call for Papers invites submissions on new applications of machine learning to computer vision, including both supervised and unsupervised approaches.
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Applications of Computer Vision
Computer vision has a wide range of applications, from self-driving cars to medical diagnosis. The CVPR 2025 Call for Papers invites submissions on new applications of computer vision, including both commercial and academic applications.
The broad scope of the CVPR 2025 Call for Papers reflects the growing importance of computer vision in a wide range of fields. The conference provides a unique opportunity for researchers to present their latest work and exchange ideas with colleagues from around the world.
2. Quality
The peer-review process is a critical component of the CVPR 2025 Call for Papers. It ensures that only the highest quality research is presented at the conference. This is important for several reasons:
- It maintains the reputation of CVPR as a premier computer vision conference.
- It helps to ensure that the research presented at CVPR is cutting-edge and innovative.
- It provides authors with feedback on their work, which can help them to improve the quality of their research.
The peer-review process is also important for the broader computer vision community. It helps to identify and disseminate the best research in the field. This can help to accelerate the progress of computer vision research and development.
The CVPR 2025 Call for Papers invites researchers to submit their best work. The peer-review process will ensure that only the highest quality research is presented at the conference. This will benefit the computer vision community as a whole.
3. Impact
The CVPR 2025 Call for Papers invites researchers to submit their best work, which will be peer-reviewed by a panel of experts to ensure that only the highest quality research is presented at the conference. This is important because CVPR is a premier venue for presenting cutting-edge research that has a significant impact on the field.
- Dissemination of Knowledge: CVPR provides a platform for researchers to share their latest findings with the broader computer vision community. This helps to accelerate the progress of research and development in the field.
- Recognition and Prestige: Publishing in CVPR is a prestigious accomplishment, and it can help researchers to advance their careers. It also brings recognition to their institutions and funding agencies.
- Collaboration and Networking: CVPR provides an opportunity for researchers to meet and network with colleagues from around the world. This can lead to new collaborations and research projects.
- Impact on Industry: The research presented at CVPR often has a significant impact on industry. This is because CVPR is a leading venue for presenting research on new technologies that have the potential to be commercialized.
The CVPR 2025 Call for Papers is now open, and researchers are encouraged to submit their best work. By doing so, they can contribute to the advancement of the field and gain recognition for their work.
4. Community
The CVPR 2025 Call for Papers emphasizes the importance of community in the field of computer vision and pattern recognition. The conference brings together researchers and practitioners from academia, industry, and government, providing opportunities for collaboration and networking. This is important for several reasons:
- Cross-Pollination of Ideas: The CVPR community provides a forum for researchers and practitioners from different backgrounds to share their ideas and learn from each other. This can lead to new collaborations and research projects that would not be possible otherwise.
- Accelerated Progress: By bringing together researchers and practitioners from different sectors, CVPR helps to accelerate the progress of computer vision research and development. This is because researchers can learn from the practical experience of practitioners, and practitioners can learn about the latest research findings.
- Commercialization of Research: CVPR provides a platform for researchers to present their work to potential industry partners. This can help to accelerate the commercialization of research and bring new products and services to market.
The CVPR community is a vital part of the conference. It provides a forum for researchers and practitioners to share their ideas, learn from each other, and collaborate on new projects. This helps to accelerate the progress of computer vision research and development, and it brings new products and services to market.
The CVPR 2025 Call for Papers invites researchers and practitioners from all over the world to submit their best work. By doing so, they can contribute to the advancement of the field and gain recognition for their work.
FAQs
The CVPR 2025 Call for Papers is now open, inviting researchers and practitioners to submit their best work on all aspects of computer vision and pattern recognition. In this FAQ section, we address some common concerns or misconceptions about the submission process.
Question 1: What are the key dates for the CVPR 2025 Call for Papers?
The deadline for paper submissions is January 15, 2025. Authors will be notified of acceptance decisions by March 15, 2025. The conference will be held in Minneapolis, Minnesota, from June 14-19, 2025.
Question 2: What are the submission requirements for CVPR 2025?
Submissions must be original and unpublished research papers that have not been submitted to any other conference or journal. Papers must be formatted according to the CVPR 2025 formatting guidelines. The page limit for regular papers is 8 pages, and the page limit for short papers is 4 pages.
Question 3: What are the review criteria for CVPR 2025?
Papers will be reviewed by a panel of experts based on their originality, significance, technical quality, and clarity of presentation. The review process is double-blind, meaning that reviewers will not know the identities of the authors, and authors will not know the identities of the reviewers.
Question 4: What are the benefits of publishing in CVPR 2025?
CVPR is a premier venue for presenting cutting-edge research in computer vision and pattern recognition. Publishing in CVPR can help researchers to gain recognition for their work, advance their careers, and contribute to the advancement of the field.
Question 5: How can I submit a paper to CVPR 2025?
Papers must be submitted electronically through the CVPR 2025 submission website. The submission website will open on October 1, 2024, and will close on January 15, 2025.
Question 6: Where can I find more information about CVPR 2025?
More information about CVPR 2025 can be found on the conference website.
We hope this FAQ section has been helpful. If you have any further questions, please do not hesitate to contact the CVPR 2025 organizers.
Transition to the next article section:CVPR 2025 is shaping up to be an exciting conference, and we encourage all researchers and practitioners in the field of computer vision and pattern recognition to submit their best work.
Tips for Submitting a Successful Paper to CVPR 2025
The CVPR 2025 Call for Papers is now open, and researchers are invited to submit their best work on all aspects of computer vision and pattern recognition. To help researchers prepare their submissions, we have compiled a list of tips to increase their chances of success.
Tip 1: Choose a topic that is both original and significant.
CVPR is a highly competitive conference, so it is important to choose a topic that is both original and significant. This means that your work should make a novel contribution to the field of computer vision and pattern recognition. It should also be of interest to a broad audience of researchers and practitioners.
Tip 2: Write a clear and concise paper.
Your paper should be well-written and easy to understand. This means that you should use clear and concise language, and avoid jargon. You should also organize your paper in a logical way, and use headings and subheadings to help readers navigate your work.
Tip 3: Support your claims with evidence.
It is important to support your claims with evidence. This can be done through experimental results, theoretical analysis, or both. If you are presenting experimental results, be sure to include all of the relevant details, such as the data you used, the methods you used to collect the data, and the statistical tests you used to analyze the data.
Tip 4: Cite your sources.
It is important to cite your sources to give credit to the work of others. This also helps to support your claims and shows that you have done your research.
Tip 5: Get feedback on your paper.
Before you submit your paper, get feedback from colleagues or mentors. This will help you to identify any weaknesses in your paper and make improvements before submitting it to CVPR.
Summary of Key Takeaways or Benefits:
- By following these tips, researchers can increase their chances of submitting a successful paper to CVPR 2025.
- A strong paper will make a novel contribution to the field of computer vision and pattern recognition, be well-written and easy to understand, be supported by evidence, cite sources, and have received feedback from colleagues or mentors.
Transition to the article’s conclusion:
We encourage all researchers to submit their best work to CVPR 2025. We look forward to receiving your submissions and seeing the latest advances in computer vision and pattern recognition.
Closing Remarks on the CVPR 2025 Call for Papers
The CVPR 2025 Call for Papers has highlighted the significance of original and impactful research in computer vision and pattern recognition. Researchers are encouraged to submit their best work, which will be peer-reviewed by experts in the field. The conference provides a platform for disseminating knowledge, fostering collaboration, and showcasing the latest advancements in the field. By participating in CVPR 2025, researchers can contribute to the progress of computer vision and pattern recognition, gain recognition for their work, and connect with the broader research community.
The CVPR 2025 Call for Papers is now open, and researchers are encouraged to submit their work by the deadline of January 15, 2025. We look forward to receiving your submissions and seeing the latest advances in computer vision and pattern recognition at CVPR 2025.
