IEEE Computer Society Releases CVPR 2026 Compute Report

The CVPR 2026 Program Committee's CVPR 2026 Compute Report, highlighted by the IEEE Computer Society, found that accepted papers had a two-fold GPU advantage over rejected ones, with a median of 4 GPUs versus 2, based on mandatory compute disclosure forms from all 16,034 submitted papers. Accepted papers also reported a median of 2,000 development hours versus 1,200 for rejected papers, and countries whose researchers used more GPUs were more likely to have papers accepted, with Singapore and Hong Kong far exceeding other countries when papers were normalized by population. IEEE CS 2026 President Grace A. Lewis said the analysis "delivers significant information related to computing power and capacity and its correlation to accepted research results," and the society pointed to its Broadening Participation Fund as a response to the inequities.

LOS ALAMITOS, Calif., 28 October 2026 – The IEEE Computer Society CS , a co-sponsor of Conference on Computer Vision and Pattern Recognition CVPR https://cvpr.thecvf.com/ , today highlighted the CVPR 2026 Compute Report https://computereport.github.io/cvpr2026/ , which investigated if and how access to graphics processing units GPUs and development time impacted conference paper acceptance. The report, developed by the CVPR 2026 Program Committee, revealed that authors with accepted papers had increased access to more GPU computing power when compared to rejected papers, and geographies that had access to higher computing capacity also had a greater representation in the program. “As AI research and applications continue to dominate the computer science and engineering landscape, the question of access is important,” said Grace A. Lewis, IEEE CS 2026 President. “This first-of-its-kind analysis delivers significant information related to computing power and capacity and its correlation to accepted research results.” The CVPR 2026 Program Committee culled the data for the report by requiring mandatory compute disclosure forms from the authors of the conference’s 16,034 submitted papers. At the highest level, the analysis of this information found that CVPR 2026 accepted papers had a two-fold GPU advantage when compared to rejected papers a median of 4 GPUs for accepted versus 2 for rejected . It also uncovered that development time played a factor: Accepted papers touted a median of 2,000 development hours versus only 1,200 for rejected papers. From a geographic standpoint, the report revealed that those countries whose researchers used more GPUs were more likely to have their papers accepted, and small research hubs like Singapore and Hong Kong far exceeded other countries in their contributions when papers were normalized by population. Additional findings can be found in the full CVPR 2026 Compute Report. The goal of this report was to bring transparency to the topic of computing access. While the majority of information related to public research in AI and computer vision is open, the CVPR Program Committee recognized a blind spot in the correlation between paper acceptances and authors’ access to modern-based GPU infrastructure. With that in mind, the committee, with the support of conference cosponsors IEEE CS and the Computer Vision Foundation CVF , developed the Compute Report, based on self-reported GPU access data, to deliver transparency around the effects of GPU infrastructure on paper presentations. To address inequities in AI and computer vision research and support expanded access to computing on a global scale, IEEE CS offers the Broadening Participation Fund, which administers grants for projects, programs, and events that make an impact in advancing technology for the benefit of humanity. To learn more, donate, or to submit a proposal, visit computer.org https://wpcms.computer.org/about/humanitarian-impact/broaden-participation top . “The Computer Society has a strong focus on broadening participation in computing, and the information from the CVPR Compute Report provides concrete data to help identify areas of opportunity,” concluded Lewis. Engaging computer engineers, scientists, academia, and industry professionals from all areas of computing, the IEEE Computer Society sets the standard of excellence and champions global advancements to benefit humanity. As the IEEE Computer Society celebrates its 80th anniversary in 2026, it continues to build on its rich legacy. Through conferences, publications, and programs that bring together computer science and engineering leaders at every stage of their careers, the IEEE Computer Society empowers, shapes, and guides the future of its 375,000+ community members, as well as the greater computing community, enabling new opportunities to better serve our world. Visit computer.org https://wpcms.computer.org/ for more information. The Conference on Computer Vision and Pattern Recognition CVPR is the preeminent computer vision event for new research in support of artificial intelligence AI , computer vision, multi-modal AI, wearable AI, novel AI architectures, spatial computing, agentic AI, AI for science, embodied AI and robotics, and much more. Sponsored by the IEEE Computer Society CS and the Computer Vision Foundation CVF , CVPR delivers the important advances in computer vision and pattern recognition that are expanding the frontiers of computer vision and defining the next generation of intelligent, interactive technologies. With a first-in-class technical program, including tutorials and workshops, a leading-edge, immersive expo, and robust networking opportunities, CVPR, which is annually attended by more than 10,000 scientists and engineers from across the globe, creates a one-of-a-kind opportunity for networking, recruiting, inspiration, and motivation. CVPR 2026 took place 3-7 June at Colorado Convention Center in Denver, Colo., US. CVPR 2027 will take place 19-26 June at the Seattle Convention Center in Seattle, Wash., US. For more information about CVPR, visit cvpr.thecvf.com https://cvpr.thecvf.com/ .