Keyword presence in cvpr2019 paper titles:
- 'Deep' decreasing (taken for granted?).
- 'GAN' saturating.
What's the new 🔥 keyword we should be checking?
#CVPR2019
✴️ @AI_Python_EN
- 'Deep' decreasing (taken for granted?).
- 'GAN' saturating.
What's the new 🔥 keyword we should be checking?
#CVPR2019
✴️ @AI_Python_EN
You can find Women in Computer Vision Workshop papers here from #CVPR2019
http://openaccess.thecvf.com/content_CVPRW_2019/html/WiCV/
✴️ @AI_Python_EN
http://openaccess.thecvf.com/content_CVPRW_2019/html/WiCV/
✴️ @AI_Python_EN
Learn about Learning from Unlabeled Videos at #CVPR2019
https://sites.google.com/view/luv2019/home?authuser=0
✴️ @AI_Python_EN
https://sites.google.com/view/luv2019/home?authuser=0
✴️ @AI_Python_EN
Great to see lots of interest in meta-learning at #CVPR2019 ! Had trouble getting in the room to give my talk. My talk was based on our icmlconf tutorial with Slides, video, references
here: http://sites.google.com/view/icml19metalearning
✴️ @AI_Python_EN
here: http://sites.google.com/view/icml19metalearning
✴️ @AI_Python_EN
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Learning the Depths of Moving People by Watching Frozen People” (http://goo.gle/2x4tEuQ ), recipient of a #CVPR2019 Best Paper Honorable Mention Award. Learn more about the paper at
http://goo.gle/2ZuZtJt
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http://goo.gle/2ZuZtJt
✴️ @AI_Python_EN
Slides: "Three Challenging Research Avenues (in language and vision)" from my VQA workshop #cvpr2019 talk.
https://yoavartzi.com/slides/2019_06_17_vqa_workshop.pdf
Includes a quick summary of some of our recent vision+language work and resources
✴️ @AI_Python_EN
https://yoavartzi.com/slides/2019_06_17_vqa_workshop.pdf
Includes a quick summary of some of our recent vision+language work and resources
✴️ @AI_Python_EN
Researchers from Facebook AI and NYU Langone Health propose a new approach to MRI reconstruction that restores a high fidelity image from partially observed measurements in less time and with fewer errors. #CVPR2019
https://ai.facebook.com/blog/accelerating-mri-reconstruction/
✴️ @AI_Python_EN
https://ai.facebook.com/blog/accelerating-mri-reconstruction/
✴️ @AI_Python_EN
AI, Python, Cognitive Neuroscience
Researchers from Facebook AI and NYU Langone Health propose a new approach to MRI reconstruction that restores a high fidelity image from partially observed measurements in less time and with fewer errors. #CVPR2019 https://ai.facebook.com/blog/accelerating…
Best paper award at #CVPR2019 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.
http://imaging.cs.cmu.edu/fermat_paths/assets/cvpr2019.pdf
✴️ @AI_Python_EN
http://imaging.cs.cmu.edu/fermat_paths/assets/cvpr2019.pdf
✴️ @AI_Python_EN
Researchers at Facebook, Princeton, and UC Berkeley have developed a method that uses AI to find and propose the most efficient design for neural networks based on how and where they'll run, such as on mobile processors. #CVPR2019
https://ai.facebook.com/blog/platform-aware-ai-to-design-neural-networks/
✴️ @AI_Python_EN
https://ai.facebook.com/blog/platform-aware-ai-to-design-neural-networks/
✴️ @AI_Python_EN