Blog(1)
Tracking objects in a video is a foundational task in computer vision and has many practical applications, such as robotics, extended reality and content creation.
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Publications(28)
Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images
AuthorDonghwan Seo, Abhijith Punnappurath, Luxi Zhao, Abdelrahman Abdelhamed, Sai Kiran Tedla, Sanguk Park , Jihwan Choe, Michael S. Brown
PublishedInternational Conference on Computer Vision (ICCV)
Date2023-10-02
SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields
AuthorAshkan Mirzaei, Tristan Aumentado-Armstrong, Konstantinos G. Derpanis, Jonathan Kelly, Marcus A. Brubaker, Igor Gilitschenski, Alex Levinshtein
PublishedComputer Vision and Pattern Recognition (CVPR)
Date2023-06-18
Efficient Flow-Guided Multi-frame De-fencing
AuthorStavros Tsogkas, Fengjia Zhang, Allan Jepson, Alex Levinshtein
PublishedIEEE Winter Conference on Applications of Computer Vision (WACV)
Date2023-01-03
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Video Object Segmentation (VOS) is an important problem in computer vision and it has a lot of interesting applications like video editing, surveillance, autonomous driving, and augmented reality. Basically, VOS is when you try to find and follow objects across multiple frames in a video.
Smartphones have enabled unprecedented accessibility to cameras and images; in conjunction with social media, content creation (e.g., images and videos) has never been more popular.
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