The Conference on Computer Vision and Pattern Recognition (CVPR) is an annual conference on

computer vision Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human ...

and

pattern recognition Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics ...

, which is regarded as one of the most important conferences in its field. According to Google Scholar Metrics (2022), it is the highest impact computing venue.

Affiliations

CVPR was first held in Washington DC in 1983 by

Takeo Kanade is a Japanese computer scientist and one of the world's foremost researchers in computer vision. He is U.A. and Helen Whitaker Professor at Carnegie Mellon University. He has approximately 300 peer-reviewed academic publications and holds aroun ...

and Dana Ballard (previously the conference was named Pattern Recognition and Image Processing). From 1985 to 2010 it was sponsored by the

IEEE Computer Society The Institute of Electrical and Electronics Engineers (IEEE) is a 501(c)(3) professional association for electronic engineering and electrical engineering (and associated disciplines) with its corporate office in New York City and its operation ...

. In 2011 it was also co-sponsored by

University of Colorado Colorado Springs The University of Colorado Colorado Springs (UCCS) is a public research university in Colorado Springs, Colorado. It is one of four campuses that make up the University of Colorado system. As of Fall 2017, UCCS had over 12,400 undergraduate an ...

. Since 2012 it has been co-sponsored by the IEEE Computer Society and the Computer Vision Foundation, which provides

open access Open access (OA) is a set of principles and a range of practices through which research outputs are distributed online, free of access charges or other barriers. With open access strictly defined (according to the 2001 definition), or libre op ...

to the conference papers.

Scope

CVPR considers a wide range of topics related to computer vision and pattern recognition—basically any topic that is extracting structures or answers from images or video or applying mathematical methods to data to extract or recognize patterns. Common topics include

object recognition Object recognition – technology in the field of computer vision for finding and identifying objects in an image or video sequence. Humans recognize a multitude of objects in images with little effort, despite the fact that the image of the ...

image segmentation In digital image processing and computer vision, image segmentation is the process of partitioning a digital image into multiple image segments, also known as image regions or image objects ( sets of pixels). The goal of segmentation is to simpli ...

motion estimation Motion estimation is the process of determining ''motion vectors'' that describe the transformation from one 2D image to another; usually from adjacent frames in a video sequence. It is an ill-posed problem as the motion is in three dimensions ...

3D reconstruction In computer vision and computer graphics, 3D reconstruction is the process of capturing the shape and appearance of real objects. This process can be accomplished either by active or passive methods. If the model is allowed to change its shape ...

, and

deep learning Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. ...

. The conference is highly selective with generally <30% acceptance rates for all papers and <5% for oral presentations. It is managed by a rotating group of volunteers who are chosen in a public election at the Pattern Analysis and Machine Intelligence-Technical Community (PAMI-TC) meeting four years before the meeting. CVPR uses a multi-tier double-blind

peer review Peer review is the evaluation of work by one or more people with similar competencies as the producers of the work ( peers). It functions as a form of self-regulation by qualified members of a profession within the relevant field. Peer revie ...

process. The program chairs (who cannot submit papers), select area chairs who manage the reviewers for their subset of submissions.

Location

The conference is usually held in June in North America.

Awards

CVPR Best Paper Award

These awards are picked by committees delegated by the program chairs of the conference.

Longuet-Higgins Prize

The Longuet-Higgins Prize recognizes CVPR papers from ten years ago that have made a significant impact on computer vision research.

PAMI Young Researcher Award

The Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award is an award given by the Technical Committee on Pattern Analysis and Machine Intelligence (TCPAMI) of the

to a researcher within 7 years of completing their Ph.D. for outstanding early career research contributions. Candidates are nominated by the computer vision community, with winners selected by a committee of senior researchers in the field. This award was originally instituted in 2012 by the journal '' Image and Vision Computing'', also presented at the CVPR, and the IVC continues to sponsor the award.

PAMI Thomas S. Huang Memorial Prize

The Thomas Huang Memorial Prize was established at CVPR 2020 and is awarded annually starting from CVPR 2021 to honor researchers who are recognized as examples in research, teaching/mentoring, and service to the computer vision community.

Acceptance Rates

References

External links

2020 conference website2019 conference website
{{Authority control Computer vision research infrastructure IEEE conferences Signal processing conferences Computer science conferences