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AI with Papers - Artificial Intelligence & Deep Learning

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All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT

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Malayziya2 128 Texnologiyalar & Aralashmalar7 532...

📈 Telegram kanali AI with Papers - Artificial Intelligence & Deep Learning analitikasi

AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 17 264 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 532-o'rinni va Malayziya mintaqasida 2 128-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 17 264 obunachiga ega bo‘ldi.

30 Oktabr, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 223 ga, so‘nggi 24 soatda esa 3 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 16.65% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 7.01% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 2 874 marta ko‘riladi; birinchi sutkada odatda 1 211 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 16 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.

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Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 31 Oktabr, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.

17 264

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+324 soatlar

+37 kun

+22330 kun

2 874

Post ko'rishlar

~ 1 21124 soatlar

~ 1 50348 soatlar

16.65%

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Postlar arxiv

17 265

🧨 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

17 265

🔥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

17 265

🎒 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

17 265

🏖️ 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

17 265

⚽ 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

17 265

🏇🏻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

17 265

🍏 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

17 265

🔴 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

17 265

🧘🏻‍♂️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

17 265

🐢 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

17 265

🧨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

17 265

🧬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

17 265

🛹 Project Skate from Google #AI 🛹 👉#AI tool to analyze the skateboarder's tricks in real-time More: https://bit.ly/3zbQS3M