#cvpr2023 — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #cvpr2023, aggregated by home.social.
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During #CVPR2023 @MetaAI
presented Project Aria, a project that utilizes a sensor packed headset to help researchers gather data from the user’s perspective. As a part of their tutorials they included a presentation on how to use Rerun for visualizing multi-modal data! 🤯 -
During #CVPR2023 @MetaAI
presented Project Aria, a project that utilizes a sensor packed headset to help researchers gather data from the user’s perspective. As a part of their tutorials they included a presentation on how to use Rerun for visualizing multi-modal data! 🤯 -
During #CVPR2023 @MetaAI
presented Project Aria, a project that utilizes a sensor packed headset to help researchers gather data from the user’s perspective. As a part of their tutorials they included a presentation on how to use Rerun for visualizing multi-modal data! 🤯 -
During #CVPR2023 Meta presented Project Aria, a project that utilizes a sensor packed headset to help researchers gather data from the user’s perspective. As a part of their tutorials they included a presentation on how to use Rerun for visualizing multi-modal data! 🤯
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During #CVPR2023 @MetaAI
presented Project Aria, a project that utilizes a sensor packed headset to help researchers gather data from the user’s perspective. As a part of their tutorials they included a presentation on how to use Rerun for visualizing multi-modal data! 🤯 -
What is the latest research in quantifying animal movement and behavior?
I wrote down a detailed overview here, based on what I saw at CVPR this year:
https://writings.lambdaloop.com/posts/cv4animals-2023/#PoseEstimation #animals #computervision #cvpr #cvpr2023 #neuroscience
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What is the latest research in quantifying animal movement and behavior?
I wrote down a detailed overview here, based on what I saw at CVPR this year:
https://writings.lambdaloop.com/posts/cv4animals-2023/#PoseEstimation #animals #computervision #cvpr #cvpr2023 #neuroscience
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What is the latest research in quantifying animal movement and behavior?
I wrote down a detailed overview here, based on what I saw at CVPR this year:
https://writings.lambdaloop.com/posts/cv4animals-2023/#PoseEstimation #animals #computervision #cvpr #cvpr2023 #neuroscience
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What is the latest research in quantifying animal movement and behavior?
I wrote down a detailed overview here, based on what I saw at CVPR this year:
https://writings.lambdaloop.com/posts/cv4animals-2023/#PoseEstimation #animals #computervision #cvpr #cvpr2023 #neuroscience
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What is the latest research in quantifying animal movement and behavior?
I wrote down a detailed overview here, based on what I saw at CVPR this year:
https://writings.lambdaloop.com/posts/cv4animals-2023/#PoseEstimation #animals #computervision #cvpr #cvpr2023 #neuroscience
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Enjoy Image Matching Challenge 2023 recap:
https://ducha-aiki.github.io/wide-baseline-stereo-blog/2023/07/05/IMC2023-Recap.html
tl;dr:
- SfM is not solved
- global desc similarity is hard
- orientation invariance for SuperGlue is easy
- PixSfM is good idea, but need follow-ups
- KeyNetAffNet
@kornia_foss rocks -
Enjoy Image Matching Challenge 2023 recap:
https://ducha-aiki.github.io/wide-baseline-stereo-blog/2023/07/05/IMC2023-Recap.html
tl;dr:
- SfM is not solved
- global desc similarity is hard
- orientation invariance for SuperGlue is easy
- PixSfM is good idea, but need follow-ups
- KeyNetAffNet
@kornia_foss rocks -
Enjoy Image Matching Challenge 2023 recap:
https://ducha-aiki.github.io/wide-baseline-stereo-blog/2023/07/05/IMC2023-Recap.html
tl;dr:
- SfM is not solved
- global desc similarity is hard
- orientation invariance for SuperGlue is easy
- PixSfM is good idea, but need follow-ups
- KeyNetAffNet
@kornia_foss rocks -
Enjoy Image Matching Challenge 2023 recap:
https://ducha-aiki.github.io/wide-baseline-stereo-blog/2023/07/05/IMC2023-Recap.html
tl;dr:
- SfM is not solved
- global desc similarity is hard
- orientation invariance for SuperGlue is easy
- PixSfM is good idea, but need follow-ups
- KeyNetAffNet
@kornia_foss rocks -
Enjoy Image Matching Challenge 2023 recap:
https://ducha-aiki.github.io/wide-baseline-stereo-blog/2023/07/05/IMC2023-Recap.html
tl;dr:
- SfM is not solved
- global desc similarity is hard
- orientation invariance for SuperGlue is easy
- PixSfM is good idea, but need follow-ups
- KeyNetAffNet
@kornia_foss rocks -
HierVL is a new #AI approach injecting semantics into visual representations by capturing long-term and short-term associations in video-language embeddings capturing both 'what' and 'why' of human actions. 🤯
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HierVL is a new #AI approach injecting semantics into visual representations by capturing long-term and short-term associations in video-language embeddings capturing both 'what' and 'why' of human actions. 🤯
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HierVL is a new #AI approach injecting semantics into visual representations by capturing long-term and short-term associations in video-language embeddings capturing both 'what' and 'why' of human actions. 🤯
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HierVL is a new #AI approach injecting semantics into visual representations by capturing long-term and short-term associations in video-language embeddings capturing both 'what' and 'why' of human actions. 🤯
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HierVL is a new #AI approach injecting semantics into visual representations by capturing long-term and short-term associations in video-language embeddings capturing both 'what' and 'why' of human actions. 🤯
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PanoHead: a breakthrough in 3D human head synthesis
This novel generative #AI model produces 360° view-consistent images of full heads and overcomes limitations in existing methods by leveraging 3D GANs and innovative image alignment techniques. 🤩
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PanoHead: a breakthrough in 3D human head synthesis
This novel generative #AI model produces 360° view-consistent images of full heads and overcomes limitations in existing methods by leveraging 3D GANs and innovative image alignment techniques. 🤩
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PanoHead: a breakthrough in 3D human head synthesis
This novel generative #AI model produces 360° view-consistent images of full heads and overcomes limitations in existing methods by leveraging 3D GANs and innovative image alignment techniques. 🤩
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PanoHead: a breakthrough in 3D human head synthesis
This novel generative #AI model produces 360° view-consistent images of full heads and overcomes limitations in existing methods by leveraging 3D GANs and innovative image alignment techniques. 🤩
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PanoHead: a breakthrough in 3D human head synthesis
This novel generative #AI model produces 360° view-consistent images of full heads and overcomes limitations in existing methods by leveraging 3D GANs and innovative image alignment techniques. 🤩
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Rodney Brooks #CVPR2023 keynote about his PhD in the 70s: “In four years I processed three images.”
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Rodney Brooks #CVPR2023 keynote about his PhD in the 70s: “In four years I processed three images.”
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Rodney Brooks #CVPR2023 keynote about his PhD in the 70s: “In four years I processed three images.”
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Rodney Brooks #CVPR2023 keynote about his PhD in the 70s: “In four years I processed three images.”
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Rodney Brooks #CVPR2023 keynote about his PhD in the 70s: “In four years I processed three images.”
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made it to vancouver for #cvpr2023, really excited to host our 5th annual VizWiz Workshop, with three outstanding keynote speakers -- representing users, researchers, and industry --
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made it to vancouver for #cvpr2023, really excited to host our 5th annual VizWiz Workshop, with three outstanding keynote speakers -- representing users, researchers, and industry --
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made it to vancouver for #cvpr2023, really excited to host our 5th annual VizWiz Workshop, with three outstanding keynote speakers -- representing users, researchers, and industry --
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made it to vancouver for #cvpr2023, really excited to host our 5th annual VizWiz Workshop, with three outstanding keynote speakers -- representing users, researchers, and industry --
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made it to vancouver for #cvpr2023, really excited to host our 5th annual VizWiz Workshop, with three outstanding keynote speakers -- representing users, researchers, and industry --
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Happy to announce that our paper "Inferring the Past: A Combined CNN-LSTM Deep Learning Framework To Fuse Satellites for Historical Inundation Mapping" was accepted at CVPR workshop Earthvision!
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Happy to announce that our paper "Inferring the Past: A Combined CNN-LSTM Deep Learning Framework To Fuse Satellites for Historical Inundation Mapping" was accepted at CVPR workshop Earthvision!
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will be at #cvpr2023 mostly hanging out at the #cv4animals workshop. if anyone wants to meet up to talk about the intersection of #machinelearning and #conservation let me know.
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will be at #cvpr2023 mostly hanging out at the #cv4animals workshop. if anyone wants to meet up to talk about the intersection of #machinelearning and #conservation let me know.
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We released our Neural Parametric Head Models (NPHM) dataset from our #CVPR2023 paper!
It includes over 5600 high-fidelity 3D scans of human heads from 272 subjects - all publicly available!
Check it out!
https://simongiebenhain.github.io/NPHM/We've also released the NPHM code: https://github.com/SimonGiebenhain/NPHM
We provide several examples and a small demo how to use our dataset. It's now super easy to build your own parametric face/head model!
Great work by Simon, Tobias, Markos Martin Lourdes!
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We released our Neural Parametric Head Models (NPHM) dataset from our #CVPR2023 paper!
It includes over 5600 high-fidelity 3D scans of human heads from 272 subjects - all publicly available!
Check it out!
https://simongiebenhain.github.io/NPHM/We've also released the NPHM code: https://github.com/SimonGiebenhain/NPHM
We provide several examples and a small demo how to use our dataset. It's now super easy to build your own parametric face/head model!
Great work by Simon, Tobias, Markos Martin Lourdes!
-
We released our Neural Parametric Head Models (NPHM) dataset from our #CVPR2023 paper!
It includes over 5600 high-fidelity 3D scans of human heads from 272 subjects - all publicly available!
Check it out!
https://simongiebenhain.github.io/NPHM/We've also released the NPHM code: https://github.com/SimonGiebenhain/NPHM
We provide several examples and a small demo how to use our dataset. It's now super easy to build your own parametric face/head model!
Great work by Simon, Tobias, Markos Martin Lourdes!
-
We released our Neural Parametric Head Models (NPHM) dataset from our #CVPR2023 paper!
It includes over 5600 high-fidelity 3D scans of human heads from 272 subjects - all publicly available!
Check it out!
https://simongiebenhain.github.io/NPHM/We've also released the NPHM code: https://github.com/SimonGiebenhain/NPHM
We provide several examples and a small demo how to use our dataset. It's now super easy to build your own parametric face/head model!
Great work by Simon, Tobias, Markos Martin Lourdes!
-
We released our Neural Parametric Head Models (NPHM) dataset from our #CVPR2023 paper!
It includes over 5600 high-fidelity 3D scans of human heads from 272 subjects - all publicly available!
Check it out!
https://simongiebenhain.github.io/NPHM/We've also released the NPHM code: https://github.com/SimonGiebenhain/NPHM
We provide several examples and a small demo how to use our dataset. It's now super easy to build your own parametric face/head model!
Great work by Simon, Tobias, Markos Martin Lourdes!
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D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu
tl;dr: no idea how that works, hierarchical attention something. No eval on #IMC
https://openaccess.thecvf.com/content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf
#CVPR2023
#computervision #deeplearning
#dmytrotweetsaboutDL -
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu
tl;dr: no idea how that works, hierarchical attention something. No eval on #IMC
https://openaccess.thecvf.com/content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf
#CVPR2023
#computervision #deeplearning
#dmytrotweetsaboutDL -
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu
tl;dr: no idea how that works, hierarchical attention something. No eval on #IMC
https://openaccess.thecvf.com/content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf
#CVPR2023
#computervision #deeplearning
#dmytrotweetsaboutDL -
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu
tl;dr: no idea how that works, hierarchical attention something. No eval on #IMC
https://openaccess.thecvf.com/content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf
#CVPR2023
#computervision #deeplearning
#dmytrotweetsaboutDL -
D2Former: Jointly Learning Hierarchical Detectors and Contextual Descriptors via Agent-Based Transformers
Jianfeng He, Yuan Gao, Tianzhu Zhang, Zhe Zhang, Feng Wu
tl;dr: no idea how that works, hierarchical attention something. No eval on #IMC
https://openaccess.thecvf.com/content/CVPR2023/papers/He_D2Former_Jointly_Learning_Hierarchical_Detectors_and_Contextual_Descriptors_via_Agent-Based_CVPR_2023_paper.pdf
#CVPR2023
#computervision #deeplearning
#dmytrotweetsaboutDL -
SFD2: Semantic-guided Feature Detection and Description
Fei Xue, Ignas Budvytis, Roberto Cipolla
tl;dr: more principled approach to use segmentation for image matching, than class-name filtering.