Two computer science experts at the University of Surrey have been appointed to national advisory roles that will help shape ...

The IEEE Computer Society (CS) and the Computer Vision Foundation (CVF) announced the award-winning papers from the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), recognizing ...

Apple is headed to Nashville next week, where it will showcase new computer vision research and run live technical demos at this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Accurate and robust 3D imaging of specular, or mirror-like, surfaces is crucial in fields such as industrial inspection, medical imaging, virtual reality, and cultural heritage preservation. Yet ...

A research paper authored by a team from the Indian Institute of Science (IISC) Bengaluru reached the finals of the CVPR 2026 event in Colorado, USA, held earlier this month. The annual conference on ...

Face detection constitutes a foundational task in computer vision, underpinning applications ranging from biometric authentication and human–computer interaction to surveillance and augmented reality.

Damini Rijhwani, founder and CEO of Automation Core Inc. Rijhwani began working in AI and machine learning in 2016. By the following year, she had joined a seventy-person research team at Purdue ...

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For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

In today's rapidly evolving world, the transformative power of artificial intelligence (AI) is undeniable. Across various industries, AI has emerged as an indispensable tool, offering unparalleled ...

Object detection is the task of identifying and localising instances of predefined object classes within images or video frames. Early approaches relied on handcrafted features and sliding-window ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...