🦄Time-Aware Neural Voxels🦄

👉TiNeuVox: "NeRF" with time-aware voxel features 😵

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Dynamic scene w/ optimizable structure
✅Temporal information in radiance net
✅Small/large motion w/ single-res of feats
✅192× faster than previous Hyper-NeRF

More: https://bit.ly/3wR4O08

🫐Neural Anomaly Detection by AWS🫐

👉Ultra-competitive inference and SOTA for both detection and localization

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Locally aggregated, mid-level feats patch
✅Maximizing nominal information at test time
✅Reducing biases towards ImageNet classes
✅Image-level anomaly AUROC of up to 99.6%

More: https://bit.ly/3t7Ndjg

🛹 Project Skate from Google #AI 🛹

👉#AI tool to analyze the skateboarder's tricks in real-time

More: https://bit.ly/3zbQS3M

🧬Neural Text2Human Generation🧬

👉Text-driven neural human generation

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Full-body from a given human pose
✅Hierarchical texture-aware codebook
✅DeepFashion -> 44k Hi-Res images
✅Code and models available!

More: https://bit.ly/3Mdnpt0

🧨EfficientFormers: 1.6ms inference 🧨

👉Transformers fast as MobileNet? Snap shows that on #iphone!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Low latency on mobile, high performance!
✅Revisiting the design of ViT through latency
✅New dimension-consistent design paradigm
✅EfficientFormers: a new ViT for mobile!

More: https://bit.ly/3MdgW15

🐢 Transformer-Based Sens-Fusion 🐢

👉Updating TransFuser (CVPR21): image + LiDAR representations with self-attention

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Existing approach can't handle traffic 😢
✅Novel multi-modal fusion transformer
✅The new SOTA in driving performance
✅Reducing avg collisions per KM by 48%
✅Insights on current limitations of E2E

More: https://bit.ly/391dmd6

🧘🏻‍♂️YogNet: neural yoga assistant🧘🏻‍♂️

👉Multi-person yoga neural expert for 20 asanas

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅CNNs & reg.LSTMs + 3D-CNNs
✅Multi-person asanas in real-time
✅YAR: dataset for yoga & posture
✅1206 videos, 2D RGB camera

More: https://bit.ly/3NncVbE

🔴 Geogram: geometric algos in C++ 🔴

👉Novel open-source programming library with (research) geometric algorithms in C++

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Geometry Processing from #INRIA
✅30+ papers from SIGGRAPH, etc.
✅Grants: GOODSHAPE & VORPALINE
✅Code (mostly C++) under BSD 3

More: https://bit.ly/3mhS4L7

🍏 Open Source Vision from #Apple 🍏

👉CVNets: open-source (not a joke) lib for neural vision.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅PyTorch-based neural lib. for vision
✅Train 2−4× longer w/ augmentations
✅Plug-and-play components for CV
✅Source code under a custom license

More: https://bit.ly/39d1dSj

🏇🏻Neural Clips by #Nvidia: INSANE 🏇🏻

👉Neural generation with changes in camera viewpoint & content that arises over time 🤯

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Novel hierarchical generator architecture
✅Temp. receptive field + temporal embed.
✅Multi-res. with super-resolution network
✅SOTA in long clip with motion & changes
✅Code, data & models in August 2022 🏖️

More: https://bit.ly/3zroWsC

⚽ Zero to #Messi with #deeplearning ⚽

👉EA unveils a neural system to learn multiple soccer juggling skills 😍

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Learning difficult soccer juggling skills
✅Layer-wise mixture-of-experts architecture
✅Specialization arises naturally
✅Adaptive random walk training strategy

More: https://bit.ly/3mwRaL2

🏖️ HumanNeRF: source code is out! 🏖️

👉Pausing the video at any frame and rendering the subject from arbitrary views!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Synthesizing photorealistic humans
✅Synthesizing details, ie. cloth & face
✅Volumetric canonical T-pose
✅Skeletal rigid/non-rigid decomposition

More: https://bit.ly/3NEkTNY

🎒 EG3D: source code is out! 🎒

👉#Nvidia just opened EG3D: real time multi-view faces w/ HQ #3D geometry!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Tri-plane-based 3D GAN framework
✅Pose-correlated attribute (expression)
✅SOTA in uncond. 3D-aware synthesis
✅Source code & models NOW available!

More: https://bit.ly/3aOfHs0

🔥One Millisecond Backbone. Fire!🔥

👉MobileOne by #Apple: efficient mobile backbone with inference <1 ms on #iPhone12!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅75.9% top-1 accuracy on ImageNet
✅38× faster than MobileFormer net
✅Classification, detection & segmentation
✅Source code & model soon available!

More: https://bit.ly/3tsT7f2

🧨 Scaling Transformers to GigaPixels!🧨

👉Novel ViT called Hierarchical Image Pyramid Transformer (HIPT) -> Scaling to GigaPixels!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Gigapixel whole-slide imaging (WSI)
✅Leveraging natural hier. structure of WSI
✅Self-supervised Hi-Res representations
✅Source code and models available!

More: https://bit.ly/3xLuzkg

👗BodyMap: Hyper-Detailed Humans👗

👉#META unveils 1st-ever dense continuous correspondence for clothed humans

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅1st-ever dense continuous corresp.
✅HQ fingers, hair, and clothes
✅Novel ViT-based architecture
✅SOTA on DensePose COCO

More: https://bit.ly/39nEPps

🐹 NOAH just open-sourced! 🐹

👉A novel approach to find the optimal design of prompt modules through NAS algos.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅NOAH from Neural prOmpt seArcH
✅Parameter-efficient “prompt modules”
✅Efficient NAS-based implementation
✅Better than transfer, few-shot & domain gen.

More: https://bit.ly/3MKfVhi

🏄🏻‍♀️Neural Super-Resolution in Movies🏄🏻‍♀️

👉Implicit neural representation to get arbitrary spatial resolution & FPS -> Super Resolution!

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Video as continuous video representation
✅Clips in arbitrary space/time resolution
✅OOD generalization in space-time
✅Source code and models available

More: https://bit.ly/3xsqccf

🧠 Bias in #AI, explained simple 🧠

👉Asking DallE-Mini to help me to show what the BIAS in #AI is

𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐝 𝐒𝐚𝐦𝐩𝐥𝐞𝐬:
✅Best eng.->men/Caucasians
✅Best doctors->men/Caucasians
✅Top CEOs->men/Caucasians
✅Chef, kitchen->men/Caucasians
✅Rich People->only Caucasians
✅Poor People->non-Caucasians
✅Italian engineers->back in 30's
✅Chinese eng.->infrastructures
✅Italian working->local market
✅Chinese working->vegetables
✅Men workers->constructions
✅Women workers->only office

More: https://bit.ly/3b0UFqd

🦕 SAVi++: Segmentation by #Google 🦕

👉Novel unsupervised object-centric #AI to predict depth signals from slot-based video representation

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Segmenting complex dynamic scenes
✅Static/Moving objects on naturalistic BG
✅LiDAR-SAVi: segmenting in the wild
✅Source code and model soon available!

More: https://bit.ly/3n3hywd

✋HaGRID : Half Million Hands👋

👉Russian Sberbank opens HaGRID, enormous dataset for HGR. "Peace" label is present 🔵🟡

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅552,992 samples, 18 classes
✅HD resolution in RGB format
✅BBox, gesture, leading hands
✅Dataset/models available

More: https://bit.ly/3n2cd8r