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  1. 23. sij

    Congrats to my amazing PhD student for being one of five recipients of the Microsoft Ade Lovelace Fellowship! Very proud of you David!

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    22. sij

    code showing the generic learning setup and reproducing simple experiments is now available! Code: Project Page: Paper:

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    13. sij

    was cited as the major source of computer vision datasets in the new paper Neural Data Server authored by and her colleagues, where machine learning is used to recommend the best datasets for transfer learning

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  4. 11. sij

    Current image datasets are getting very large and pre-training on them is time consuming. We are releasing Neural Data Server (NDS), a search engine for transfer learning data! Webservice: Paper:

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  5. 10. pro 2019.

    Come and see our Toronto Annotation suite -- annotation powered with A.I. -- demo today at NeurIPS!

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  6. 24. stu 2019.

    If you're interested in optical flow, check out Creative Flow+, a large-scale multi-style artistic video dataset (densely labeled with GT)! Awesome job by Masha Shugrina! Ziheng Liang Jiaman Li, Angad Singh, Karan Singh Webpage:

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    18. stu 2019.

    To help accelerate 3D research, released Kaolin to provide efficient implementations of differentiable modules. See how it eases users by simply modifying components of the interface supplies.

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  8. 13. stu 2019.
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  9. 13. stu 2019.

    Excited to release a library for 3D deep learning! Check it out, and give us feedback! Great effort by Edward Smith, JF Lafleche Artem Rozantsev, Tommy Xiang, Gav State, . We plan to extend it with many exciting features!

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  10. proslijedio/la je Tweet
    30. lis 2019.

    We are presenting Gated-SCNN today at ICCV SoTA segmentation network that explicitly wires shape into the recognition pipeline. Hall B1, Poster-79. Come and talk to us!!! ⁦⁩ ⁦⁩ ⁦⁩ ⁦

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  11. 30. lis 2019.

    Oral session D1

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  12. 30. lis 2019.

    Oral session D1

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  13. 30. lis 2019.

    Our work Meta-Sim on learning to create synthetic datasets presented in today’s morning oral session ! Check it out! Antonio Torralba

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  14. 30. lis 2019.

    Our work NTG on city road layout generation will be presented in today’s morning session ! Hang Chu, Masha Shugrina,Xinkai Wei,Antonio Torralba Paper: Project page:

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  15. 29. ruj 2019.

    Our ICCV work on differentiable bipartite matching (with only a few lines of code!), with application to video segmentation.

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  16. 26. kol 2019.
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  17. 26. kol 2019.

    We now released code and trained models for our GSCNN semantic segmentation work done at . Check it out! Paper (ICCV'19): Project page: Code ( ):

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  18. proslijedio/la je Tweet
    22. srp 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    GSCNN accepted at !!!

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    22. srp 2019.
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  20. 16. srp 2019.

    to correct link to project page: :)

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