Today, we are announcing a challenge for the computer vision community to develop robust models for object recognition, demonstrating accurate predictions on ObjectNet images.
Like so many events impacted the COVID-19 pandemic, the annual conference on Computer Vision and Pattern Recognition (CVPR 2020), has gone virtual. It’s an interesting time for all of us as we find new ways of working and opportunities to apply our research to help our communities.
New techniques make fine tuning an AI model more efficient when doing transfer learning
At the recent 2018 Conference on Computer Vision and Pattern Recognition, I presented a new algorithm for multi-face tracking, an essential component in understanding video. To understand visual sequences involving people, AI systems must be able to track multiple individuals across scenes, despite changing camera angles, lighting, and appearances. The new algorithm enables AI systems […]
This week IBM Research will be participating at the Conference on Computer Vision and Pattern Recognition (CVPR) in Honolulu, Hawaii from July 21 –25. As a major computer vision event, it’s a place for researchers, academics, students, and even investors to learn about the latest advances in the field. IBM’s presence this year includes multiple […]