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The
#GauGAN beta version is now available to everyone as a web service via https://nvda.ws/2WsY2cM#NVIDIA AI Playground A short illustration video is available in http://bit.ly/2XIgTSr May everybody have fun with the app.#GAN,#SPADEpic.twitter.com/mS3OLsz36qHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
I just went through ~3 months of pain evaluating applications to the
@Caltech faculty search. Beyond some lower bound, pub count had almost no correlation with how we ranked the candidates. For papers, we mainly looked at the 3 representative publications included in the package.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
The AI for Content Creation workshop at CVPR 2020 is now accepting submissions! http://visual.cs.brown.edu/aicc2020/ Many great guest speakers! Organized with
@DeqingSun@liu_mingyu@roadjiang Weilong Yang (https://www.linkedin.com/in/weilongyang/ ) and Kalyan Sunkavalli (http://www.kalyans.org/ ).Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
(1) Dear friends! Please help me spread the word! Proud to announce my first single author paper, a new display technology that combines optical scanning and machine learning. The results is up to x4 resolution, faster refresh rate and no more screen door effect!pic.twitter.com/utkUQnhaIO
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Ming-Yu Liu proslijedio/la je Tweet
I believe the term 'self-supervised learning' is actually quite old. By the 1990s it was pretty common (e.g., http://people.idsia.ch/~juergen/FKI-126-90ocr.pdf …, http://papers.nips.cc/paper/831-learning-classification-with-unlabeled-data.pdf …), and the earliest usage I see on Google Scholar is this 1978 paper: https://pdfs.semanticscholar.org/18dd/ab9366db15c91fc37396f96813ecfbed88e9.pdf …
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Ming-Yu Liu proslijedio/la je Tweet
Tacotron2+WaveGlow TTS deployed through ONNX and TensorRT! Research at NVIDIA matters because we get to work as one big, company-wide team to translate ideas into impact. And then we get to participate in the broader community by releasing code, models, examples - like this:https://twitter.com/NVIDIAAIDev/status/1214233008825225217 …
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Ming-Yu Liu proslijedio/la je Tweet
I'm proud of our Esports research on high framerate, low latency that contributed to the new NVIDIA G-SYNC Esports Display launch. Playing at 360 Hz feels simply amazing and makes a measurable difference in performance.https://twitter.com/NVIDIAGeForce/status/1214014200768385024 …
2:34Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
I don't think there'll be another AI winter, because search, planning and supervised learning work well and are in use everywhere. There might be an RL winter though, because reinforcement learning doesn't work well and is not likely to work well soon.
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Ming-Yu Liu proslijedio/la je Tweet
very excited to share UNAS, my first project
@NvidiaAI. UNAS unifies differentiable and RL-based NAS, enabling us to search with both diff. & non-diff. loss. UNAS also proposes a generalization based loss to discover networks prone to overfitting. paper: http://bit.ly/2to8JV0 pic.twitter.com/SyiPT8ByU8
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StyleGAN2 is out. https://arxiv.org/abs/1912.04958
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Ming-Yu Liu proslijedio/la je Tweet
想学有所用,掌握
#AI 技能、落地 AI 场景应用?NVIDIA 深度学习学院(#DLI)手把手教您如何用深度学习方法,实现自动化工业产品缺陷检测。12 月 17 日 苏州#GTC China,《深度学习—— 工业检测》实战培训,名额有限,报名从速!https://lnkd.in/grNrThZHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
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.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
Glad to share our new work,
#StarGANv2. Our model can generate high-quality images reflecting the diverse styles (e.g., hairstyles, makeup) of reference images. arXiv: https://arxiv.org/abs/1912.01865 github: https://github.com/clovaai/stargan-v2 … co-authors:@YoungjungUh@Jaejun_Yoo@JungWooHa2pic.twitter.com/AHJx4itYLLPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Woohoo! GauGAN won the Best of What's New Award by Popular Science Magazine!!! If you haven't tried GauGAN, please visit https://www.nvidia.com/en-us/research/ai-playground/ …https://twitter.com/NvidiaAI/status/1201931434178404352 …
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Ming-Yu Liu proslijedio/la je Tweet
Excited to release a
@PyTorch library for 3D deep learning! Check it out, and give us feedback! Great effort by@krrish94 Edward Smith, JF Lafleche@Caenorst Artem Rozantsev, Tommy Xiang, Gav State,@RevLebaredian@NvidiaAI . We plan to extend it with many exciting features!https://twitter.com/NvidiaAI/status/1194680942536736768 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
Dancing to Music This paper looks at generating dance from music through a decomposition to composition learning framework.
#NeurIPS2019 Paper http://arxiv.org/abs/1911.02001 Project https://github.com/NVlabs/Dancing2Music/ …pic.twitter.com/NxvQuSVSfeHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Ming-Yu Liu proslijedio/la je Tweet
When people ask me what is the future of painting or brushes, I tell This is. This shows the power of
#AR and#AI working together to enhance human creativity. I extracted and processed the video using the SPADE algorithm and augmented it on the feed.#artificialintelligencepic.twitter.com/bznTeZ9NpoPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Dusan’s talk on the fundamentals and NVIDIA AMP library for easy mixed precision training.pic.twitter.com/h7SP4njWIt
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Ming-Yu Liu proslijedio/la je Tweet
Work we did on visualizing memorability, using GANs!https://twitter.com/MIT_Quest/status/1190333958929571841 …
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We will being giving a tutorial on how to use mixed precision (fp32 + fp16) for training deep networks for vision applications at
#ICCV2019 in the Saturday morning. https://nvlabs.github.io/iccv2019-mixed-precision-tutorial/ …. Want to train your network faster with your current GPUs? Please come to check it out.Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
We will be doing a poster session for our
#ICCV2019 paper on FUNIT: Few-shot Unsupervised Image-to-Image Translation (https://github.com/NVlabs/FUNIT ) at Hall 1B. Poster 139. Hope to see you there.pic.twitter.com/78A5vs7hGXHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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