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#cvpr2026 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #cvpr2026, aggregated by home.social.

  1. Accurate object localization at reduced annotation/computational cost?
    #TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.

    The main highlights of #TriLite include:
    • State-of-the-art performance
    • < 1M trainable parameters
    • single-stage training

    We will be glad to get in touch at #CVPR2026 to discuss further.

    We thank #DEFRA for supporting this research

    #WSOL #CV
    #sqIRL #IDLab #UAntwerp

  2. Accurate object localization at reduced annotation/computational cost?
    #TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.

    The main highlights of #TriLite include:
    • State-of-the-art performance
    • < 1M trainable parameters
    • single-stage training

    We will be glad to get in touch at #CVPR2026 to discuss further.

    We thank #DEFRA for supporting this research

    #WSOL #CV
    #sqIRL #IDLab #UAntwerp

  3. Accurate object localization at reduced annotation/computational cost?
    #TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.

    The main highlights of #TriLite include:
    • State-of-the-art performance
    • < 1M trainable parameters
    • single-stage training

    We will be glad to get in touch at #CVPR2026 to discuss further.

    We thank #DEFRA for supporting this research

    #WSOL #CV
    #sqIRL #IDLab #UAntwerp

  4. Accurate object localization at reduced annotation/computational cost?
    #TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.

    The main highlights of #TriLite include:
    • State-of-the-art performance
    • < 1M trainable parameters
    • single-stage training

    We will be glad to get in touch at #CVPR2026 to discuss further.

    We thank #DEFRA for supporting this research

    #WSOL #CV
    #sqIRL #IDLab #UAntwerp

  5. What a week! 🌟

    Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

    𝗔𝗖𝗟
    𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

    𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
    𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

    𝗙𝗚
    𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

    Congratulations to the team!
    For preprints and updates, feel free to visit our website: collaborative-ai.org/

  6. What a week! 🌟

    Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

    𝗔𝗖𝗟
    𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

    𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
    𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

    𝗙𝗚
    𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

    Congratulations to the team!
    For preprints and updates, feel free to visit our website: collaborative-ai.org/

  7. What a week! 🌟

    Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

    𝗔𝗖𝗟
    𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

    𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
    𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

    𝗙𝗚
    𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

    Congratulations to the team!
    For preprints and updates, feel free to visit our website: collaborative-ai.org/

  8. What a week! 🌟

    Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

    𝗔𝗖𝗟
    𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

    𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
    𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

    𝗙𝗚
    𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

    Congratulations to the team!
    For preprints and updates, feel free to visit our website: collaborative-ai.org/

  9. What a week! 🌟

    Our group is celebrating a "triple win" with three papers accepted at #ACL2026, #CVPR2026 Workshop, and #FG2026 !

    𝗔𝗖𝗟
    𝘗𝘳𝘰𝘛𝘰𝘔: 𝘗𝘳𝘰𝘮𝘰𝘵𝘪𝘯𝘨 𝘗𝘳𝘰𝘴𝘰𝘤𝘪𝘢𝘭 𝘉𝘦𝘩𝘢𝘷𝘪𝘰𝘶𝘳 𝘷𝘪𝘢 𝘛𝘩𝘦𝘰𝘳𝘺 𝘰𝘧 𝘔𝘪𝘯𝘥-𝘐𝘯𝘧𝘰𝘳𝘮𝘦𝘥 𝘍𝘦𝘦𝘥𝘣𝘢𝘤𝘬

    𝗖𝗩𝗣𝗥 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽
    𝘜𝘗-𝘍𝘢𝘤𝘌: 𝘜𝘴𝘦𝘳-𝘱𝘳𝘦𝘥𝘪𝘤𝘵𝘢𝘣𝘭𝘦 𝘍𝘪𝘯𝘦-𝘨𝘳𝘢𝘪𝘯𝘦𝘥 𝘍𝘢𝘤𝘦 𝘚𝘩𝘢𝘱𝘦 𝘌𝘥𝘪𝘵𝘪𝘯𝘨

    𝗙𝗚
    𝘋𝘪𝘧𝘧𝘌𝘺𝘦𝘚𝘺𝘯: 𝘜𝘴𝘦𝘳-𝘴𝘱𝘦𝘤𝘪𝘧𝘪𝘤 𝘚𝘶𝘣𝘵𝘭𝘦 𝘌𝘺𝘦 𝘔𝘰𝘷𝘦𝘮𝘦𝘯𝘵 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘴 𝘜𝘴𝘪𝘯𝘨 𝘋𝘪𝘧𝘧𝘶𝘴𝘪𝘰𝘯 𝘔𝘰𝘥𝘦𝘭𝘴

    Congratulations to the team!
    For preprints and updates, feel free to visit our website: collaborative-ai.org/

  10. Our geospatial foundation model paper has been accepted to #cvpr2026! "TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis" (out of 16000+ submissions, wow). See you in Denver! arxiv.org/abs/2506.20380