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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Малайзия2 234 Технологии и приложения7 718...

📈 Аналитический обзор Telegram-канала AI with Papers - Artificial Intelligence & Deep Learning

Канал AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 17 168 подписчиков, занимая 7 718 место в категории Технологии и приложения и 2 234 место в регионе Малайзия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 17 168 подписчиков.

Согласно последним данным от 20 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило -169, а за последние 24 часа — 0, при этом общий охват остаётся высоким.

Статус верификации: Не верифицирован
Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 22.86%. В первые 24 часа после публикации контент обычно набирает N/A% реакций от общего числа подписчиков.
Охват публикаций: В среднем каждый пост получает 3 926 просмотров. В течение первых суток публикация набирает 0 просмотров.
Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 26.
Тематические интересы: Контент сосредоточен на ключевых темах, таких как framework, object, dataset, tba, depth.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
“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”

Благодаря высокой частоте обновлений (последние данные получены 21 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

17 168

Подписчики

Нет данных24 часа

-357 дней

-16930 день

3 926

Просмотры поста

Нет данных24 часа

Нет данных48 часов

22.86%

Коэффициент вовлеченности

Нет данных

Постов в день

Ads index

beta

Архив постов

17 166

⚽SoccerNet 2025 results are out!⚽ 👉SoccerNet 2025 Challenges is the open benchmarking dedicated to advancing computer vision research in football video understanding. Repo for training & Dataset💙 👉Review https://t.ly/MfHKg 👉Paper https://arxiv.org/pdf/2508.19182 👉Project https://www.soccer-net.org/ 👉Repo https://github.com/SoccerNet

17 166

🥶 OmniHuman-1.5 🥶 👉#ByteDance proposes a novel framework designed to generate character animations that are not only physically plausible but also semantically coherent and expressive. Coherency with speech's rhythm, prosody and semantic content. Impressive results but no code 🥺 👉Review https://t.ly/CnRmX 👉Paper arxiv.org/pdf/2508.19209 👉Project omnihuman-lab.github.io/v1_5/ 👉Repo 🥺

17 166

🏎️ VROOM: F1 Reconstruction🏎️ 👉Berkeley unveils VROOM, the first attempt for reconstructing 3D models of #Formula1 circuits using only onboard camera footage from racecars. Extreme challenges due to noise & speed. Repo released💙 👉Review https://t.ly/uuHdT 👉Paper arxiv.org/pdf/2508.17172 👉Repo github.com/yajatyadav/vroom 👉Project varun-bharadwaj.github.io/vroom/

17 166

🧤Diffusive Hand from Signs🧤 👉LIGM + #NVIDIA unveil a novel generative model of 3D hand motions from Sign Language Data. Motion characteristics such as handshapes, locations, finger, hand & arm movements. Code, Models & Data to be released 💙 👉Review https://t.ly/HonX_ 👉Paper https://arxiv.org/pdf/2508.15902 👉Project https://imagine.enpc.fr/~leore.bensabath/HandMDM/ 👉Data drive.google.com/drive/u/1/folders/1BLsu2hAqhAJ_gnGb9TNXW7MLiSuSEzEj 👉Repo TBA

17 166

🫔ATLAS: SOTA Human Model🫔 👉#META presents ATLAS, a novel high-fidelity body model learned from 600k high-res. scans captured using 240 synchronized cams. Code announced, to be released💙 👉Review https://t.ly/0hHud 👉Paper https://arxiv.org/pdf/2508.15767 👉Project https://jindapark.github.io/projects/atlas/ 👉Repo TBA

17 166

🔬Intern-S1: SOTA MM-MoE 🔬 👉InternS1: a MM-MoE with 28B activated / 241b total parameters, continually pre-trained on 5T tokens, including 2.5T+ tokens from scientific domains. New SOTA for professional tasks, such as molecular synthesis planning, reaction condition prediction, etc. Models available under Apache 2.0💙 👉Review https://t.ly/3l5UW 👉Paper arxiv.org/pdf/2508.15763 👉Repo github.com/InternLM/Intern-S1 🤗HF huggingface.co/internlm/Intern-S1

17 166

🧉 YOPO: SOTA 9-DoF Pose🧉 👉Pit In Co. unveils YOPO, a novel single-stage, query-based framework that treats category-level 9-DoF estimation as a natural extension of 2D detection. A practical solution for mono-RGB, category-level, multi-obj pose estimation. Code & models announced (coming)💙 👉Review https://t.ly/cf_Cl 👉Paper https://arxiv.org/pdf/2508.14965 👉Project mikigom.github.io/YOPO-project-page/ 👉Repo TBA

17 166

📡 ROVR Open Dataset is out 📡 👉A novel large-scale open 3D dataset for autonomous driving, robotics, and 4D perception tasks. To be released for academic (for free) & commercial💙 👉Review https://t.ly/iDcvg 👉Paper https://arxiv.org/pdf/2508.13977 👉Project https://xiandaguo.net/ROVR-Open-Dataset

17 166

👠 OmniTry: Virtual Try-On Anything 👠 👉OmniTry: unified framework that extends VTON beyond garment to encompass any wearable objects (jewelries, accessories, etc.) in mask-free setting. Weights, HF demo & benchmark released💙 👉Review https://t.ly/wMBGQ 👉Paper https://lnkd.in/dQe9MchS 👉Project https://omnitry.github.io/ 👉Repo https://lnkd.in/d3QwAXY2 🤗Demo https://lnkd.in/duUcZpVA

17 166

🌈DAViD: Synthetic Depth-Normal-Segmentation🌈 👉#Microsoft unveils DAViD: 100% synthetic dataset/models for human Depth, Normals & Segmentation. Impressive results at a fraction of the cost of the foundation models! Compliancy with privacy, copyright, licensing, and diversity requirements. Dataset available, models & runtime under MIT💙 👉Review https://t.ly/-SlO_ 👉Paper https://lnkd.in/eCmMXpTg 👉Project https://lnkd.in/eurCSWkm 👉Repo https://lnkd.in/e7PWFgP2

17 166

🔀4DNeX: Feed-Forward 4D video🔀 👉4DNeX is the first feed-forward framework for generating 4D scene representations from a single image by fine-tuning diffusion model. HQ dynamic pt-clouds & downstream tasks such as novel-view video synthesis with strong generalizability. Code/Data announced 💙 👉Review https://t.ly/SpkD- 👉Paper arxiv.org/pdf/2508.13154 👉Project https://4dnex.github.io/ 👉Repo github.com/3DTopia/4DNeX 👉Data https://lnkd.in/dh4_3Ghf 👉Demo https://lnkd.in/dztyzwgg

17 166

🏓TOTNet: Occlusion-aware Tracking🏓 👉TOTNet is a novel Temporal Occlusion Tracking Network that leverages 3D-convs, visibility-weighted loss, & occlusion augmentation to improve performance under occlusions. Code & Data available under MIT💙 👉Review https://t.ly/Q0jAf 👉Paper https://lnkd.in/dUYsa-GC 👉Repo https://lnkd.in/d3QGUHYb

17 166

🤖 Impact of SuperHuman AI 🤖 👉The NoProfit AI Futures Project unveils a (dystopic) scenario about what super-AI might look like. Forecast from today to the bio-engineered human-like creatures. A fascinating speculation of the future with the "slow-down" and "race" scenarios. Enjoy 💙 👉Review https://t.ly/EgmfJ 👉Project https://ai-2027.com/

17 166

🦖 #META's DINOv3 is out 🦖 👉#Meta unveils DINOv3! A novel foundation model outperforming the previous SOTAs in computer vision. Code & weights released under DINOv3 License💙 👉Review https://t.ly/-S3ZL 👉Paper https://t.ly/ervOT 👉Project https://lnkd.in/dHFf3esd 👉Repo https://lnkd.in/dPxhDxAq 🤗HF https://lnkd.in/dWGudY2i

17 166

Hi everybody, I took a few weeks to take a breath from a lot of stuff, I dedicated all my mental energy to keep working and I dedicated all my spare time to take care of myself. Despite I'm still not ok (BTW, my health was/is always good), I feel it's time to come back and support this wonderful community in this journey. I feel the responsibility of that, time to get in the ring. I'm very sorry for being out so long, but sometime life hits really hard. I got an incredible support from unknown people from all around the world. It's amazing. Thanks again, you rock! Alessandro.

17 166

Dear friends, I’m truly sorry for being away from the group for so long. I know: no updates so far while AI is running faster than speed of light. I’m going through a very difficult time in my life and I need some space to heal. This spare-time project (but important for a lot of people here) needs energy and commitment I don’t have right now. I’m sorry, be patient. I’ll be back. Love u all, Alessandro.

17 166

🧞‍♀️GENMO: Generalist Human Motion 🧞‍♀️ 👉#Nvidia presents GENMO, a unified Generalist Model for Human Motion that bridges motion estimation and generation in a single framework. Conditioning on videos, 2D keypoints, text, music, and 3D keyframes. No code at the moment🥲 👉Review https://t.ly/Q5T_Y 👉Paper https://lnkd.in/ds36BY49 👉Project https://lnkd.in/dAYHhuFU

17 166

🩷Dance vs. #ComputerVision🩷 👉The Saint-Etienne university proposed a new 3D human body pose estimation pipeline to deal with dance analysis. Project page w/ results and interactive demo released💙 👉Review https://t.ly/JEdM3 👉Paper arxiv.org/pdf/2505.07249 👉Project https://lnkd.in/dD5dsMv5