@visualyang
Joined January 2015
  • Tweets69
  • Following103
  • Followers47
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Xiaodong Yang retweeted
Jan Kautz@jankautz25 Aug 2020
My team at @NVIDIAAI has three #ECCV papers today. "Joint Disentangling and Adaptation for Cross-Domain Person Re-Identification" with our collaborators from CMU. PDF: ecva.net/papers/eccv_2020/pa… ECCV link: papers.eccv2020.eu/paper/297… (1/3)
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To help make transportation systems smarter, researchers at #CVPR2020 competed in the fourth annual #AI City Challenge using NVIDIA GPUs for both training and inference. Learn more about the challenge and this year’s winners: nvda.ws/3hJM61Z

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Xiaodong Yang retweeted
hardmaru
@hardmaru7 Feb 2020
“Time is an illusion.” ― Albert Einstein
Lionel Page
@page_eco6 Feb 2020
Very cool: same speed, different fields of view. Your 🧠 uses objects’ velocity relative to each other to form a perception of speed. xitter.cf/Unexplained/status/122…
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Meet the AI choreographer! To help automatically create a dance video, @NVIDIA researchers developed a #deeplearning model that can automatically compose new dance moves. The work is being presented at #NeurIPS2019 this week.

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Xiaodong Yang retweeted
hardmaru
@hardmaru7 Nov 2019
Dancing to Music This paper looks at generating dance from music through a decomposition to composition learning framework. #NeurIPS2019 Paper arxiv.org/abs/1911.02001 Project github.com/NVlabs/Dancing2Mu…
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Xiaodong Yang retweeted
Jan Kautz@jankautz10 Jul 2019
Replying to @nvidia
@NVIDIA’s DGX SuperPOD breaks #AI performance records. Ready-to-run infrastructure with leading performance in #MLPerf: nvda.ws/2JxFMum
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"Nvidia has more software engineers than hardware engineers. A GPU is a lot more than just a chip. It gets good performance through amazing compilers, libraries, frameworks, and applications.” Learn more about Bryan Catanzaro @ctnzr’s work at @Nvidia: bit.ly/2J3PZym
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Xiaodong Yang retweeted
NVIDIA AI
@NVIDIAAI12 Jun 2019
At #CVPR2019, NVIDIA Researchers will present 20 accepted papers, including 11 orals. Check out the list here: nvda.ws/2WzDaAK
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Xiaodong Yang retweeted
Jan Kautz@jankautz16 Feb 2019
#NVIDIA Turing GPUs support optical flow - great for activity recognition! devblogs.nvidia.com/an-intro…

An Introduction to the NVIDIA Optical Flow SDK | NVIDIA Technical Blog

NVIDIA’s Turing GPUs introduced a new hardware functionality for computing optical flow between images with very high performance. The Optical Flow SDK 1.0 enables developers to tap into the new…

developer.nvidia.com
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There’s still time to participate in the AI City Challenge with plenty of great prizes for winners of all three challenge tracks. Learn more: nvda.ws/2TeAGXl
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We just launched the 3rd AI City Challenge and looking for teams to participate. Learn more about how you can push the boundaries for AI-based traffic optimization. nvda.ws/2C1S2zx
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To enable the next generation of robots, NVIDIA is opening a new #AI robotics research lab in Seattle led by Dieter Fox. See how they are designing a robotic kitchen assistant: nvda.ws/2RgTqsq
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Xiaodong Yang retweeted
hardmaru
@hardmaru13 Dec 2018
A Style-Based Generator Architecture for Generative Adversarial Networks. @NvidiaAI does it again! arxiv.org/abs/1812.04948
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NVIDIA set records for six #MLPerf single-node and at-scale #AI benchmarks using Tensor Core GPUs – read details about the results: nvda.ws/2C2BZTk
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Xiaodong Yang retweeted
Julie Bernauer@JulieB_NV3 Dec 2018
NVIDIA Apex: Tools for Easy Mixed-Precision Training in PyTorch | NVIDIA Developer Blog devblogs.nvidia.com/apex-pyt…
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Xiaodong Yang retweeted
Jan Kautz@jankautz2 Nov 2018
NVIDIA is launching an AI research residency program: blogs.nvidia.com/blog/2018/1…. Consider applying! @NvidiaAI #ai #research

Research Archives

blogs.nvidia.com
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Xiaodong Yang retweeted
Google AI
@GoogleAI22 Oct 2018
Check out Fluid Annotation, an exploratory machine learning–powered interface for annotating the class label and outline of every object and background region in an image, accelerating the creation of labeled datasets by a factor of 3x. goo.gl/beq3Cw

Fluid Annotation: An Exploratory Machine Learning–Powered Interface for Faster I

Posted by Jasper Uijlings and Vittorio Ferrari, Research Scientists, Machine Perception The performance of modern deep learning–based computer visi...

research.google
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Xiaodong Yang retweeted
Anaconda@anacondainc10 Oct 2018
Today @NVIDIA launched the RAPIDS GPU Acceleration Platform for large-scale data analytics & machine learning. Anaconda helped NVIDIA develop these new capabilities, which will be available through our public package repository & in Anaconda Enterprise. bit.ly/2CxEPRH
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Xiaodong Yang retweeted
Google AI
@GoogleAI5 Sep 2018
Announcing the launch of Dataset Search, a new way for researchers to find the datasets they need, wherever they’re hosted, whether it’s a publisher's site, a digital library, or an author's personal web page. Learn more at goo.gl/BYSouA
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Xiaodong Yang retweeted
Clement Farabet
@clmt20 Jun 2018
Proud of the team at NVIDIA for hitting 2 first places on vision challenges at CVPR — domain adaptation is a big topic for autonomous vehicle perception. Cross-team effort across research and applied AV group. news.developer.nvidia.com/nv… cc @aysegl_dndr
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