Rezultati pretraživanja
  1. 18. lip 2019.

    Released at , MediaPipe is Google's new framework for media processing pipelines, combining model-based inference via TensorFlow with traditional CV tasks like optical flow, pose tracking, and more. Used in existing projects like Motion Stills.

  2. Now available for commercial use on NGC, pix2pixHD developed by researchers generates high-resolution photorealistic images from high-level labels.

  3. 10. svi 2019.

    When video description meets bounding boxes! We are now releasing data/code/models/leaderboard (yes, everything) on our oral paper Grounded Video Description: Paper: Dataset (158k bboxes on 52k captions):

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  4. 19. lip 2019.

    If you're at kindly visit me present our work on "Cycle Consistency for robust VQA" in Grand Ballroom at 14.10. My co-authors will be there to answer all your questions in the poster session #184 that follows. Dataset + Code + Paper:

  5. Ending my conference as a Crazy Rich Bayesian! Go Bayesians!

  6. 17. lip 2019.

    If you enjoy 🍻 AND realtime visual-inertial SLAM, is hosting a happy hour tomorrow at 5pm. DM me for details!

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  7. 20. lip 2019.

    I liked the DeepMapping paper from Ding and Feng at . A bit similar to DIP, they use deep learning machinery to solve a surprising optimisation problem (no learning on a dataset): pose graph alignment for a set of pose scans.

  8. Best paper award at main idea: seeing around the corner at non-line-of-sight (NLOS) objects by using Fermat paths, which is a new theory of how NLOS photons follow specific geometric paths.

  9. 19. lip 2019.

    We have a fantastic representation at this week! 🌴🌊🌞 Come and say 'HI' to Marco, Lewis, Jamie, Simon, Miroslaw, Josef, John, Armin, Adrian, Tao, and Yi-Zhe! 👋👋👋

  10. 20. lip 2019.

    Gucci has nothing on this $13,000 hat

  11. 19. lip 2019.

    If you have any doubts about the applicability of CNNs to local feature detection for robust pose estimation, come to our Deep Charuco poster today at . This videos shows a shadow effect and traditional methods are simply too frail. Red=fail

  12. 17. srp 2019.

    Deep Flow-Guided Video Inpainting By Completing a missing flow is easier than filling in pixels of a missing region directly. SoTA on DAVIS and YouTube-VOS Code ArXiv

  13. 15. lip 2019.

    Learn about Learning from Unlabeled Videos at , Sunday in Room E, 9:00am Fresh posters and keynotes: Antonio Torralba, Noah Snavely, Andrew Zisserman, Bill Freeman, Abhinav Gupta, Kristen Grauman

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  14. 15. lip 2019.

    We willl be presenting our work "Divide and Conquer the Embedding Space for Metric Learning" at on Tuesday 18th: Poster 24 at 10:15. Authors: Me, Vadim Tschernezki, Uta Büchler () and Björn Ommer. Paper and Code:

  15. 19. lip 2019.

    Y. Niitani of Preferred Networks gave an oral presentation at "Sampling Techniques for Large-Scale Object Detection from Sparsely Annotated Objects" used to win 2nd prize @ Google AI Open Images challenge (w/ Akiba, Kerola, Ogawa, Sano & Suzuki)

  16. For those interested in some of the latest self-driving research (especially those participating in our competition), we’ve collected our favorite self-driving content from in our latest reader's digest. Read them here:

  17. 20. lip 2019.

    Pleased to now also share the code for our paper: "Meta-learning Convolutional Neural Architectures for Multi-Target Concrete Defect Classification with the CODEBRIM Dataset". Code: Paper: Dataset:

  18. 25. lip 2019.
  19. 24. srp 2019.

    We're launching a blog for sharing our latest work and reflections on research for safer and increasingly autonomous vehicles. The first post describes our recent paper ADVENT for unsupervised domain adaptation:

  20. 15. lip 2019.

    NVIDIA Research will present 20 papers at , including 11 orals. Full list is here: . Check it out!

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