When ImageNet: A large-scale hierarchical image database was published in 2009, it showed how large-scale datasets could transform neural network algorithms. Now, its author & HAI co-director Dr Fei-Fei li has won the #cvpr2019 award for the retrospective most impactful paper. #AI

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the #CVPR2019 Low-Power Image Recognition Challenge (LPIIRC) winning teams from Amazon, Alibaba, Expasoft, Tsinghua, MIT and Qualcomm. Learn more about the challenge at
https://rebootingcomputing.ieee.org/lpirc .

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#CVPR2019 presenting Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks (RCAN).

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have released the code and data for our #CVPR2019 paper on hand-object reconstruction.
https://www.di.ens.fr/willow/research/obman/

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the #CVPR2019 Google Booth will host demos featuring work on Increasing AR Realism Using Lighting
https://goo.gle/2KwK5ce
and teaching people how to dance with the Dance Like app.
https://goo.gle/2X18ddS .

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Waymo just announced the release of large open dataset at #CVPR2019

https://waymo.com/open

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Artificial Intelligence can write creative & convincingly human-like captions for any image. Great work by IBM Research at #cvpr2019 In order to ensure the generated captions did not sound too unnatural, the work employed conditional GAN training Read
https://arxiv.org/pdf/1805.00063.pdf

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This is incredible. This paper from MIT Computer Science & Artificial Intelligence Lab presented at #cvpr2019 shows how to reconstruct a face from speech patterns.
https://speech2face.github.io

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All the datasets (there are a lot) released at #cvpr2019 are now indexed in
https://visualdata.io . Check them out!
#computervision #machinelearning #dataset

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Prof. Chris Manning, Director of StanfordAILab & founder of Stanfordnlp, shared inspiring thoughts on research trends and challenges in #computervision and #NLP at #CVPR2019. View full interview:

https://bit.ly/2KR21hO

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