David Acuna

@davidjesusacu

PhD student ML Group at Univ of Toronto () /. Researcher at .

Toronto, Ontario
Vrijeme pridruživanja: svibanj 2014.

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  1. 23. sij

    Extremely proud of being one of the recipients of the 2020 Microsoft Ada Lovelace Fellowship.

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  2. proslijedio/la je Tweet
    17. sij

    Most popular computer science paper of the day: "Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data"

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    11. sij

    Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data.

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    11. sij

    Super excited of releasing Neural Data Server (NDS), a search engine for transfer learning data! Check out our paper and try the webservice!

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  5. 11. sij

    Super excited of releasing Neural Data Server (NDS), a search engine for transfer learning data! Check out our paper and try the webservice!

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  6. proslijedio/la je Tweet
    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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  7. 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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    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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    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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    8. lis 2019.

    I'm hiring a C++ programmer to work on . For now, part-time located in Toronto. See for details. Please spread the word!

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    6. lis 2019.
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  12. 26. kol 2019.

    Training code in is now available for our latest ICCV 2019 state-of-the-art semantic segmentation network (G-SCNN). Check it out!

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    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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    22. srp 2019.
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    16. srp 2019.

    Excited to share our work on semantic segmentation called GSCNN, which significantly outperforms DeepLabV3+ on Cityscapes benchmark. paper: project: Code coming soon

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  16. 16. srp 2019.

    Super excited of releasing G-SCNN A state-of-the-art semantic segmentation network that wires shape information into higher-level activations and exploits the duality between edges and sem segm. Great work with

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  17. proslijedio/la je Tweet
    21. lip 2019.

    NVIDIA Research Released at CVPR Helps Developers Create Better Visual Datasets - NVIDIA Developer News Center

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    20. lip 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    is presenting his oral now! Come talk to us at poster number 156 from 3:20 - 6:00 PM today for more details

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    19. lip 2019.

    Stop by poster 77 at to hear NVIDIA researcher talk about his work on “Object Instance Annotation with Deep Extreme Level Set Evolution.”

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  20. 19. lip 2019.

    Check out our latest work on interactive instance annotation. We combine extreme points with Level Sets in an end-to-end fashion. Today. Poster 77, 3.20 -6pm. Great work with Zian Wang, , and

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