cclin

[Sergio Paniego @SergioPaniego]

so cool to see PapersWithCode back!

[Tan Wang @Wangt97]

Thx @_akhaliq! Check out our DisCo at https://t.co/OsBieyXZ0h.🔥🔥🔥

🧙‍♂️High Generalizability. No need human-specific fine-tuning!

💃Extensive human-related applications with disentangled control!

👨‍💻Easy-to-follow framework and totally opensource code!

[Microsoft Research @MSFTResearch]

Xuedong Huang, CTO, Azure AI, will present his keynote at CVPR 2022 @CVPR today at 5PM CT where he will share progress on the application of Integrative AI on computer vision and its promising results. Virtual conference registrants can tune in here: https://t.co/EM0yVU2Cr8

[Linjie (Lindsey) Li @LINJIEFUN]

Interested in Vision Language Pre-training (VLP) but do not know where to start? Hard to track the rapid progress in VLP? Come and join us at our CVPR2022 VLP tutorial on 19th Jun (9am-5pm CDT) in person in New Orleans or virtually. https://t.co/r52fo5MACD #CVPR2022

[Chitwan Saharia @Chitwan_Saharia]

We are thrilled to announce Imagen, a text-to-image model with unprecedented photorealism and deep language understanding. Explore https://t.co/mSplg4FlsM and Imagen!

A large rusted ship stuck in a frozen lake. Snowy mountains and beautiful sunset in the background. #imagen

[AK @_akhaliq]

NeuralDiff: Segmenting 3D objects that move in egocentric videos
abs: https://t.co/gOT8aRTqBR
project page: https://t.co/mkeEadY5jX

[Elliott / Shangzhe Wu @elliottszwu]

Here are the video recordings of the workshop: https://t.co/rBrRoGdTBs

[AI at Meta @AIatMeta]

We're sharing Unidentified Video Objects (UVO), a new benchmark to facilitate research in open-world segmentation, an important computer vision task that aims to detect, segment, and track all objects exhaustively in a video. Learn more: https://t.co/L7ke0h711X

[AI at Meta @AIatMeta]

FAIR research scientist, Ishan Misra (@imisra_) sat down with @lexfridman to demystify self-supervised learning & its impact in #AI: https://t.co/OHqoe7gdKt. Read the blog post that inspired the conversation: https://t.co/Tblj1SGbYA

[Jia-Bin Huang @jbhuang0604]

Writing Related Work

I enjoy reading/writing the related work section of a paper. It helps organize prior research and put the contributions of the work in proper context.

But HOW? Check the thread below👇

[Google AI @GoogleAI]

Today, we are announcing the open source release of DeepLab2, a modern TensorFlow library for deep labeling that aims to facilitate future research on dense pixel labeling by providing a unified, state-of-the-art, and easy-to-use TensorFlow codebase → https://t.co/WOhaO7tl4S

[Machine Learning Street Talk @MLStreetTalk]

We dive deep into self-supervised learning with Dr. Ishan Misra @imisra_ from FAIR @facebookai and cover their recent cluster of vision papers; with @ykilcher @RisingSayak CC: @ylecun @skornblith @mcaron31 @HugoTouvron https://t.co/sfrXtOHu7G

[AI at Meta @AIatMeta]

DINO’s attention maps can discover and segment objects in an image or a #Video with absolutely no supervision and without being given a segmentation-targeted objective. #computervision https://t.co/iwv08XeG8G

[Chelsea Finn @chelseabfinn]

Want to learn about meta-learning? Lecture videos for CS330 are now online!
https://t.co/taJ5yyIWVQ

Topics incl. MTL, few-shot learning, Bayesian meta-learning, lifelong learning, meta-RL & more:
https://t.co/mJ1v71huD7
+ 3 guest lectures from Kate Rakelly, @svlevine, @jeffclune

[cclin @cclin_]

Join us and consider submitting a paper to the Second workshop on Moving Camera at @ICCV19. More details on the website: https://t.co/dde9xlekyt Deadline: August 5
#ICCV2019 #ComputerVIsion