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

Ko'proq ko'rsatish

Malayziya2 235 Texnologiyalar & Aralashmalar7 702...

📈 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 17 145 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 7 702-o'rinni va Malayziya mintaqasida 2 235-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

невідомо sanasidan buyon loyiha tez o‘sib, 17 145 obunachiga ega bo‘ldi.

24 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -197 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

Tasdiqlash holati: Tasdiqlanmagan
Jalb etish (ER): Auditoriya o‘rtacha 25.73% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 6.87% ini tashkil etuvchi reaksiyalarni to‘playdi.
Post qamrovi: Har bir post o‘rtacha 4 411 marta ko‘riladi; birinchi sutkada odatda 1 177 ta ko‘rish yig‘iladi.
Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 26 ta reaksiya keladi.
Tematik yo‘nalishlar: Kontent framework, object, dataset, tba, depth kabi asosiy mavzularga jamlangan.

📝 Tavsif va kontent siyosati

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 25 Iyun, 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.

17 145

Obunachilar

-724 soatlar

-427 kunlar

-19730 kunlar

4 411

Post ko'rishlar

~ 1 17724 soatlar

~ 1 35348 soatlar

25.73%

Muloqot nisbati

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Postlar arxiv

17 144

🐛FactorMatte Video re-Composition🐛 👉FactorMatte: alternative formulation of video matting problem for re-composition 😎Review https://bit.ly/3NX6hdg 😎Paper arxiv.org/pdf/2211.02145.pdf 😎Project https://factormatte.github.io/ 😎Code github.com/jacklyngu/FactorMatte

17 144

😈 Synthetic Expression-Wrinkles 😈 👉#Microsoft unveils a novel approach that produces realistic wrinkles across humans 😎Review https://bit.ly/3zWZLOd 😎Paper arxiv.org/pdf/2210.03529.pdf 😎Project microsoft.github.io/DynamicWrinkles

17 144

🔏First Depth/anti-FacRec Cam 🔏 👉First working prototype that enables passive depth estimation while inhibiting face identification 😎Code (coming) 😎Project https://zaidtas.github.io/privacymask 😎Paper zaidtas.github.io/privacymask/pdf/privacy_preserving_depth_estimation.pdf

17 144

🔥#AIwithPapers: we are 4,700!🔥 😎 Me, literally, every day 👆 😈 Share -> https://bit.ly/3fA5geu 😈 Invite friends -> https://t.me/AI_DeepLearning

17 144

🩳 STC: Transformers MOT 🩳 👉A novel Multi-Object Tracking based on Transformers with Dense Representations 😎Review https://bit.ly/3WzQsNB 😎Paper arxiv.org/pdf/2210.13570.pdf 😎Code github.com/amitgalor18/STC_Tracker

17 144

⚠️ #AI art is making creatives obsolete ⚠️ 1. Scientist: "AI, let's make creatives obsolete" 2. AI: "Ok, let's do it! We have a deal" 👉 The AI 👆 😎More https://bit.ly/3DBWXa2

17 144

🥻Multi-Garment Virtual Try On (VTON)🥻 👉URJC unveils ULNeFs, a novel approach to efficiently solve mix-and-match VTO for multiple garment layers. SUIT UP! 😎Review https://bit.ly/3sVVAOC 😎Project mslab.es/projects/ULNeF

17 144

🐀 DANNCE: animal keypoints tracking 🐀 👉DANNCE: anatomical #3D tracking across species and behaviors 😎Review https://bit.ly/3Nrx0P3 😎Code https://github.com/spoonsso/dannce

17 144

💥TAVA for photo-realistic Avatars💥 👉#META unveils a novel approach for Template-free Animatable Volumetric Avatars. #Metaverse ready. 😎Review https://bit.ly/3DPDEvm 😎Paper arxiv.org/pdf/2206.08929.pdf 😎Project www.liruilong.cn/projects/tava/ 😎Code github.com/facebookresearch/tava

17 144

🔥Network -> C++ Converter. Pure Fire!🔥 👉Fully open source #Python framework to convert Neural Nets into C++. Lightning-fast inference💥 😎Review https://bit.ly/3gSyqWI 😎Code github.com/facebookincubator/AITemplate

17 144

🟧 PlanT: Driving Plan w/ Transformer 🟧 👉PlanT: planning via transformer. Imitation learning with compact object-level representation 😎Review https://bit.ly/3Ni2MxN 😎Project www.katrinrenz.de/plant/ 😎Paper arxiv.org/pdf/2210.14222.pdf 😎Code github.com/autonomousvision/plant

17 144

🌨️Multi NeRF-supervised Depth-Pose🌨️ 👉NeRF-supervised disentanglement of depth/camera pose from large-scale clips 😎Review https://bit.ly/3gS4Z7e 😎Paper arxiv.org/pdf/2210.07181.pdf 😎Project oasisyang.github.io/self-mpinerf

17 144

🎸MUSIKA! Neural ∞-audio generation🎸 👉Novel neural music generation system on single consumer GPU! 😎Listen: https://bit.ly/3W80p4U 😎Paper arxiv.org/pdf/2208.08706.pdf 😎Code github.com/marcoppasini/musika

17 144

💓 Gesture Recognition in 80's 💓 👉The #Casio AT-550 was offering the edge gesture recognition in 1984! 😎Review https://bit.ly/3fcPia6 😎Clip: youtube.com/watch?v=piFaJmYpQfQ

17 144

📯Modeling the Human Pose Manifolds📯 👉#Meta Pose-NDF: continuous model for plausible human poses based on neural distance fields 😎Review https://bit.ly/3f6X59o 😎Paper arxiv.org/pdf/2207.13807.pdf 😎Project virtualhumans.mpi-inf.mpg.de/posendf 😎Code github.com/garvita-tiwari/PoseNDF

17 144

🛎️🛎️Autoregressive NeRF-Avatar🛎️🛎️ 👉AutoAvatar by #Meta: autoregressive method for modeling dynamically deforming human bodies from raw scans 😎Review https://bit.ly/3W0oTgo 😎Paper arxiv.org/pdf/2203.13817.pdf 😎Project zqbai-jeremy.github.io/autoavatar 😎Code github.com/facebookresearch/AutoAvatar

17 144

↕️SOTA Action Detector @90+ FPS!↕️ 👉YOWO-plus: real-time method for spatio-temporal action detection. YOWO-Nano the fastest! 😎Review https://bit.ly/3TUdhcI 😎Paper arxiv.org/pdf/2210.11219.pdf 😎Code github.com/yjh0410/PyTorch_YOWO

17 144

🤖JRBD: Egocentric Perception of Humans🤖 👉Stanford -> JRDB-Pose: Dataset with 600,000+ body pose annotations! 😎Review https://bit.ly/3gEZBE4 😎Paper arxiv.org/pdf/1910.11792.pdf 😎Project jrdb.erc.monash.edu/

17 144

🤯 Full-Body from head/hand signals 🤯 👉#Meta unveils AvatarPoser: first full-body pose method via user’s head/hands 😎Review https://bit.ly/3gESR9y 😎Paper arxiv.org/pdf/2207.13784.pdf 😎Code github.com/eth-siplab/AvatarPoser

17 144

🎨 UniColor: Unified Colorization 🎨 👉The first unified framework for colorization via stroke, exemplar, text, and a mix of them 😎Review https://bit.ly/3gESR9y 😎Paper arxiv.org/pdf/2209.11223.pdf 😎Project luckyhzt.github.io/unicolor 😎Code (SOON)