"Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network
" outperform by 4.9% the current state of the art in foreground detection | https://arxiv.org/pdf/1707.07584.pdf
#paper #deeplearning
" outperform by 4.9% the current state of the art in foreground detection | https://arxiv.org/pdf/1707.07584.pdf
#paper #deeplearning
π1
Further improvements in the DNN module include faster R-CNN support, Javascript bindings and acceleration of OpenCL implementation.
#OpenCV 3.4 straight to #DeepLearning | https://opencv.org/opencv-3-4.html
#OpenCV 3.4 straight to #DeepLearning | https://opencv.org/opencv-3-4.html
How we are changing the client's pipeline with #ArtificialIntelligence
- LEFT: fully human | human release, 2016-2017
- CENTER: #AI + human | alpha release, Q1 2018
- RIGHT: #AI + human | beta release, est. Q3 2018
#DeepLearning #MachineLearning #convergeAI #VR
- LEFT: fully human | human release, 2016-2017
- CENTER: #AI + human | alpha release, Q1 2018
- RIGHT: #AI + human | beta release, est. Q3 2018
#DeepLearning #MachineLearning #convergeAI #VR
β‘οΈ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. β‘οΈ
π‘ Google | Face and Hand tracking in the browser with MediaPipe and TensorFlow: https://lnkd.in/dQRSB7U
π‘ Berkeley | Speeding Up Transformer Training and Inference By Increasing Model Size: https://lnkd.in/dV5qZ4S
π‘ CVPR-2020 | Zero-shot video classification by end-to-end training of 3D convolutional neural networks: https://lnkd.in/djs98Ew
π‘ Google | Connecting Vision and Language with Localized Narratives: https://lnkd.in/dD6hjUq
More: https://www.linkedin.com/feed/update/urn:li:activity:6643790787312140288
π‘ Google | Face and Hand tracking in the browser with MediaPipe and TensorFlow: https://lnkd.in/dQRSB7U
π‘ Berkeley | Speeding Up Transformer Training and Inference By Increasing Model Size: https://lnkd.in/dV5qZ4S
π‘ CVPR-2020 | Zero-shot video classification by end-to-end training of 3D convolutional neural networks: https://lnkd.in/djs98Ew
π‘ Google | Connecting Vision and Language with Localized Narratives: https://lnkd.in/dD6hjUq
More: https://www.linkedin.com/feed/update/urn:li:activity:6643790787312140288
blog.tensorflow.org
Face and hand tracking in the browser with MediaPipe and TensorFlow.js
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
β‘οΈ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. β‘οΈ
π‘ MIT | How to make a pizza - Learning a compositional layer-based GAN model: https://lnkd.in/gFaVgnR
More: https://www.linkedin.com/feed/update/urn:li:activity:6645227487855022080
π‘ MIT | How to make a pizza - Learning a compositional layer-based GAN model: https://lnkd.in/gFaVgnR
More: https://www.linkedin.com/feed/update/urn:li:activity:6645227487855022080
πβ‘Google just released a novel system able to produce realistic composite images for any sceneπβ‘
More: https://www.linkedin.com/posts/visionarynet_deeplearning-ai-artificialintelligence-activity-6794294922867474432-pcW2
More: https://www.linkedin.com/posts/visionarynet_deeplearning-ai-artificialintelligence-activity-6794294922867474432-pcW2
Linkedin
Alessandro Ferrari on LinkedIn: #deeplearning #ai #artificialintelligence #machinelearning #deeplearningaiβ¦
πβ‘Google just released a novel system able to produce realistic composite images for any sceneπβ‘
πThis system performs portrait relighting and backgroundβ¦
πThis system performs portrait relighting and backgroundβ¦
π₯π₯60,000$ from Huawei to push self-#AI to the next levelπ₯π₯
β Real-world dataset with 10+ Million images
β 5k labeled images for #deeplearning training
β 5K/10K validation/test labeled pics for evaluation
β Workshop: "Self-supervised Autonomous Driving"
β 2D & 3D object detection / #continuallearning
β Challenge prizes: total 60,000$
More: https://www.linkedin.com/posts/visionarynet_selfdrivingcars-ai-deeplearning-activity-6828287448963956736-Lizu
β Real-world dataset with 10+ Million images
β 5k labeled images for #deeplearning training
β 5K/10K validation/test labeled pics for evaluation
β Workshop: "Self-supervised Autonomous Driving"
β 2D & 3D object detection / #continuallearning
β Challenge prizes: total 60,000$
More: https://www.linkedin.com/posts/visionarynet_selfdrivingcars-ai-deeplearning-activity-6828287448963956736-Lizu
Linkedin
Alessandro Ferrari on LinkedIn: #selfdrivingcars #AI #deeplearning | 17 comments
ππ Huawei unveils the largest open #selfdrivingcars dataset ever: 10M+ images over 6 classes ππ
πSelf-Training and Self-supervised training attempts... 17 comments on LinkedIn
πSelf-Training and Self-supervised training attempts... 17 comments on LinkedIn
https://www.linkedin.com/posts/visionarynet_nvidia-ai-deeplearning-activity-6868817510653853696-97ax
Linkedin
Alessandro Ferrari on LinkedIn: #Nvidia #AI #deeplearning | 13 comments
π
π#Nvidia unveils GauGAN2, live text-to-image #AI for landscapes generation π
π
πGauGAN2, named after post-Impressionist painter Paul Gauguin, uses... 13 comments on LinkedIn
πGauGAN2, named after post-Impressionist painter Paul Gauguin, uses... 13 comments on LinkedIn
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β½ Zero to #Messi with #deeplearning β½
πEA unveils a neural system to learn multiple soccer juggling skills π
ππ’π π‘π₯π’π π‘ππ¬:
β Learning difficult soccer juggling skills
β Layer-wise mixture-of-experts architecture
β Specialization arises naturally
β Adaptive random walk training strategy
More: https://bit.ly/3mwRaL2
πEA unveils a neural system to learn multiple soccer juggling skills π
ππ’π π‘π₯π’π π‘ππ¬:
β Learning difficult soccer juggling skills
β Layer-wise mixture-of-experts architecture
β Specialization arises naturally
β Adaptive random walk training strategy
More: https://bit.ly/3mwRaL2
π₯7π3
AI with Papers - Artificial Intelligence & Deep Learning
π Drag-GAN: user-friendly image-manipulation π π Manual deforming of (real and generated) images over pose, shape, expression and layout. πReview https://bit.ly/3BFyXlR πPaper arxiv.org/pdf/2305.10973.pdf πProject vcai.mpi-inf.mpg.de/projects/DragGANβ¦
Linkedin
π₯π₯ Source Code of Drag-GAN IS OUT! | Alessandro Ferrari | 40 comments
π₯π₯ Source Code of Drag-GAN IS OUT! π₯π₯
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
πManual deforming of (real and generated) images over pose, shape, expression and layout. Source Code just released a few hours ago π
ππ’π π‘π₯π’π π‘ππ¬:
β Max Planck + MIT + #Google AR/VR = π€―
β Supervising handle points to moveβ¦
π₯25π±6β€3π₯°1π€―1
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π₯ Hu.ma.ne #AI Pin is out! π₯
πHu.ma.ne just launched #AI Pin: the new standalone AI-powered screenless device. Running on the GPT-4 LLMs, suitable for real-time translation. #AI-powered camera and laser projector
π More https://t.ly/IvoN7
πHu.ma.ne just launched #AI Pin: the new standalone AI-powered screenless device. Running on the GPT-4 LLMs, suitable for real-time translation. #AI-powered camera and laser projector
π More https://t.ly/IvoN7
β€6π₯4π©2π1π±1
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πΉAI and the Everything in the Whole Wide World BenchmarkπΉ
πLast week Yann LeCun said something like "LLMs will not reach human intelligence". It's clear the on-going #deeplearning is not ready for "general AI", a "radical alternative" is necessary to create a βsuperintelligenceβ.
πReview https://t.ly/isdxM
πNews https://lnkd.in/dFraieZS
πPaper https://lnkd.in/da-7PnVT
πLast week Yann LeCun said something like "LLMs will not reach human intelligence". It's clear the on-going #deeplearning is not ready for "general AI", a "radical alternative" is necessary to create a βsuperintelligenceβ.
πReview https://t.ly/isdxM
πNews https://lnkd.in/dFraieZS
πPaper https://lnkd.in/da-7PnVT
β€5π2π1π©1
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π #DoubleDragon with #AI π
πHow Double Dragon would look like in real life? Each character has been transformed with #AI to capture their style, fighting spirit, and charisma, as if they had stepped right out of the gameβs streets into the real world. AUDIO ON. Damn romanticπ
#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM
πPost https://t.ly/0IpER
πChannel http://www.youtube.com/@iaiaoh84
πHow Double Dragon would look like in real life? Each character has been transformed with #AI to capture their style, fighting spirit, and charisma, as if they had stepped right out of the gameβs streets into the real world. AUDIO ON. Damn romanticπ
#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM
πPost https://t.ly/0IpER
πChannel http://www.youtube.com/@iaiaoh84
β€5π2π₯1
π₯ New #AI Startups in 2026? π₯
In 2026, which area would you focus on?
π€Agents β workflows, copilots, etc.
πVertical AI β Pharma, Automotive, Energy ...
π§ Infrastructure β MLOps, Security, Cost Control ...
π¨AI for Creators/Media β Video, avatars, contents ...
Please, help me understanding what's next with this poll on LinkedIn :)
https://www.linkedin.com/posts/visionarynet_ai-ai-deeplearning-activity-7415377341779996672-sQO1
LUV U \m/
In 2026, which area would you focus on?
π€Agents β workflows, copilots, etc.
πVertical AI β Pharma, Automotive, Energy ...
π§ Infrastructure β MLOps, Security, Cost Control ...
π¨AI for Creators/Media β Video, avatars, contents ...
Please, help me understanding what's next with this poll on LinkedIn :)
https://www.linkedin.com/posts/visionarynet_ai-ai-deeplearning-activity-7415377341779996672-sQO1
LUV U \m/
LinkedIn
#ai #ai #deeplearning #aiwithpapers #metaverse | Alessandro Ferrari
π₯π₯ New #AI Startups in 2026? π₯π₯
π Looking ahead to 2026, the question is no longer βcan we build it?β but βwhere does it actually create durable value?β in the AI field. So, if you were to launch an AI startup in 2026, which area would you focus on?
π€Agentsβ¦
π Looking ahead to 2026, the question is no longer βcan we build it?β but βwhere does it actually create durable value?β in the AI field. So, if you were to launch an AI startup in 2026, which area would you focus on?
π€Agentsβ¦
π₯5β€2π1
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π₯π₯ Marigold V2 is out π₯π₯
πMarigold V2 is out: depth, (impressive) see-through depth, surface normals, albedo, and other dense modalities. SOTA results. Repo under Apache 2.0π
#AI #deeplearning #AIwithPapers
πReview https://lnkd.in/p/eKM44yDQ
πPaper https://arxiv.org/pdf/2609.08084
πRepo https://github.com/huawei-bayerlab/marigold-v2
πProject https://huggingface.co/spaces/huawei-bayerlab/marigold-v2-web
πMarigold V2 is out: depth, (impressive) see-through depth, surface normals, albedo, and other dense modalities. SOTA results. Repo under Apache 2.0π
#AI #deeplearning #AIwithPapers
πReview https://lnkd.in/p/eKM44yDQ
πPaper https://arxiv.org/pdf/2609.08084
πRepo https://github.com/huawei-bayerlab/marigold-v2
πProject https://huggingface.co/spaces/huawei-bayerlab/marigold-v2-web
π₯9β€3π3π1