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
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here: http://sites.google.com/view/icml19metalearning
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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
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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/
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https://ai.facebook.com/blog/accelerating-mri-reconstruction/
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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
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http://imaging.cs.cmu.edu/fermat_paths/assets/cvpr2019.pdf
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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/
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https://ai.facebook.com/blog/platform-aware-ai-to-design-neural-networks/
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Released at #CVPR2019, 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.
https://sites.google.com/view/perception-cv4arvr/mediapipe
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https://sites.google.com/view/perception-cv4arvr/mediapipe
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Presenting some work today on how humans and machines perform when doing collaborative visual search at #CVPR2019! A topic of interest for radiologists, surveillance operators and potentially semi-autonomous driving!
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✴️ @AI_Python_EN
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 .
✴️ @AI_Python_EN
https://rebootingcomputing.ieee.org/lpirc .
✴️ @AI_Python_EN
#CVPR2019 presenting Sim-to-Real via Sim-to-Sim: Data-efficient Robotic Grasping via Randomized-to-Canonical Adaptation Networks (RCAN).
✴️ @AI_Python_EN
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have released the code and data for our #CVPR2019 paper on hand-object reconstruction.
http://www.di.ens.fr/willow/research/obman/
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http://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
http://goo.gle/2KwK5ce
and teaching people how to dance with the Dance Like app.
http://goo.gle/2X18ddS .
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http://goo.gle/2KwK5ce
and teaching people how to dance with the Dance Like app.
http://goo.gle/2X18ddS .
✴️ @AI_Python_EN
arXiv.org
DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
We present a learning-based method to infer plausible high dynamic range
(HDR), omnidirectional illumination given an unconstrained, low dynamic range
(LDR) image from a mobile phone camera with a...
(HDR), omnidirectional illumination given an unconstrained, low dynamic range
(LDR) image from a mobile phone camera with a...
Waymo just announced the release of large open dataset at #CVPR2019
https://waymo.com/open
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https://waymo.com/open
✴️ @AI_Python_EN
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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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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https://speech2face.github.io
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All the datasets (there are a lot) released at #cvpr2019 are now indexed in
http://visualdata.io . Check them out!
#computervision #machinelearning #dataset
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http://visualdata.io . Check them out!
#computervision #machinelearning #dataset
✴️ @AI_Python_EN
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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:
http://bit.ly/2KR21hO
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http://bit.ly/2KR21hO
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