AI with Papers - Artificial Intelligence & Deep Learning
前往频道在 Telegram
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
显示更多📈 Telegram 频道 AI with Papers - Artificial Intelligence & Deep Learning 的分析概览
频道 AI with Papers - Artificial Intelligence & Deep Learning (@ai_deeplearning) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 17 264 名订阅者，在 技术与应用 类别中位列第 7 532，并在 马来西亚 地区排名第 2 128 位。
📊 受众指标与增长动态
自 невідомо 创建以来，项目保持高速增长，吸引了 17 264 名订阅者。
根据 30 十月, 2026 的最新数据，频道保持稳定运转。过去 30 天订阅人数变化为 223，过去 24 小时变化为 3，整体触达仍然可观。
- 认证状态： 未认证
- 互动率 (ER)： 平均受众互动率为 16.65%。内容发布后 24 小时内通常能获得 7.01% 的反应，占订阅者总量。
- 帖子覆盖： 每篇帖子平均可获得 2 874 次浏览，首日通常累积 1 211 次浏览。
- 互动与反馈： 受众积极参与，单帖平均反应数为 16。
- 主题关注点： 内容集中在 framework, object, dataset, tba, depth 等核心主题上。
📝 描述与内容策略
作者将该频道定位为表达主观观点的平台：
“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”
凭借高频更新（最新数据采集于 31 十月, 2026），频道始终保持新鲜度与高覆盖。分析显示受众积极互动，使其成为 技术与应用 类别中的关键影响点。
17 264
订阅者
+324 小时
+37 天
+22330 天
帖子存档
🧨 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
🔥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
🎒 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
🏖️ 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
⚽ 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
🏇🏻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
🍏 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
🔴 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
🧘🏻♂️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
🐢 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
🧨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
🧬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
🛹 Project Skate from Google #AI 🛹
👉#AI tool to analyze the skateboarder's tricks in real-time
More: https://bit.ly/3zbQS3M
