Blog(1)

• TrickVOS: A Bag of Tricks for Video Object Segmentation

  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(32)

• A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation

  AuthorUmberto Michieli, Mehmet Kerim Yucel, Mete Ozay

  PublishedACM Multimedia Systems Conference (Mmsys)

  Date2024-04-01

• 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

• Uncertainty-aware Source free Domain Adaptive Semantic Segmentation

  AuthorDa Li, Timothy Hospedales

  PublishedIEEE Transactions on Image Processing

  Date2023-07-11

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News(6)

• Samsung R&D Institute Ukraine's Visual Intelligence Team Wins the Runner-Up Prize at ICCV 2025 Perception Test Challenge

  Samsung R&D Institute Ukraine's Visual Intelligence Team secured the runner-up prize at the ICCV 2025 Perception Test Challenge, a prestigious competition in visual perception. The team excelled in joint object and point tracking, leveraging advanced CNN and transformer models, including SAM2 segmentation tracker and LocoTrack for precise tracking. SRUKR innovative approach achieved high accuracy and robustness, particularly in handling occlusions and small objects.

• [Blog] TrickVOS: A Bag of Tricks for Video Object Segmentation

  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.

• [Blog] [CVPR 2023 Series #5] MobileVOS: Real-Time Video Object Segmentation Contrastive Learning Meets Knowledge Distillation

  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.

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