正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

We noticed that DINOv3 was surprisingly strong at matching object features. This inspired L2G (Local Matches to Global Masks). With a few reference images, a robot can search a room for the target object. 🔗 Project: 💻 Code:

Yu Xiang

6,369 subscribers

29,826 次观看 • 5 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Creator of C#, Anders Hejlsberg(Anders Hejlsberg), on the design goals that shaped the language and why standardisation was a goal from the beginning: “The overarching thing was this power and productivity of C++ with the ease of use of Visual Basic. We knew we wanted to build an object oriented language. We wanted managed code or byte code so we could target different runtime environments. We wanted garbage collection and exception handling, but also things like a unified object system where, and that's true in C#, anything can be assigned to an object. If it's a value type, we box it. And it's a self-describing object. So, reflection: you can ask an object, ‘what are you’? And you can get all of the facts about it at runtime, and you can dynamically manipulate it in ways that just don't exist in a lot of other environments. We wanted a language that made this new model of properties, methods and events first class because that was how components were built as opposed to just sort of functions and procedures and even objects. And we wanted to create a language that was standardised. We wanted to give this language to a standardisation committee and try to level the playing field there. And all of those things were sort of like what was rolled up in C#”

Creator of C#, Anders Hejlsberg(Anders Hejlsberg), on the design goals that shaped the language and why standardisation was a goal from the beginning: “The overarching thing was this power and productivity of C++ with the ease of use of Visual Basic. We knew we wanted to build an object oriented language. We wanted managed code or byte code so we could target different runtime environments. We wanted garbage collection and exception handling, but also things like a unified object system where, and that's true in C#, anything can be assigned to an object. If it's a value type, we box it. And it's a self-describing object. So, reflection: you can ask an object, ‘what are you’? And you can get all of the facts about it at runtime, and you can dynamically manipulate it in ways that just don't exist in a lot of other environments. We wanted a language that made this new model of properties, methods and events first class because that was how components were built as opposed to just sort of functions and procedures and even objects. And we wanted to create a language that was standardised. We wanted to give this language to a standardisation committee and try to level the playing field there. And all of those things were sort of like what was rolled up in C#”

The Pragmatic Engineer

18,332 次观看 • 3 个月前

Wouldn't it be great if we could train robots without any teleoperation! In our latest paper, we train robots to mimic a human video of the task by simply matching the object features using RL. We only need one video and under an hour of robot training.

Wouldn't it be great if we could train robots without any teleoperation! In our latest paper, we train robots to mimic a human video of the task by simply matching the object features using RL. We only need one video and under an hour of robot training.

Lerrel Pinto

46,221 次观看 • 1 年前

Here we have another #AI Lab project, which looks interesting Sophia the Robot | The Global Robot Ambassador / #SophiaVerse 💯 SophiaVerse is a classroom for newbies, Sophia the Robot | The Global Robot Ambassador is also a teacher, teaching people how to code. Launching this Tuesday 12:00 UTC - #DYOR 💯 👉 👈

Here we have another #AI Lab project, which looks interesting Sophia the Robot | The Global Robot Ambassador / #SophiaVerse 💯 SophiaVerse is a classroom for newbies, Sophia the Robot | The Global Robot Ambassador is also a teacher, teaching people how to code. Launching this Tuesday 12:00 UTC - #DYOR 💯 👉 👈

Crypto Tony

27,864 次观看 • 3 年前

IllumiNeRF 3D Relighting without Inverse Rendering Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoints under a target illumination

IllumiNeRF 3D Relighting without Inverse Rendering Existing methods for relightable view synthesis -- using a set of images of an object under unknown lighting to recover a 3D representation that can be rendered from novel viewpoints under a target illumination

AK

12,378 次观看 • 2 年前

In-hand object manipulation is a dexterity litmus test for robot hands. Our new system in Science Robotics Science Robotics can dynamically reorient many different objects in hand in the air. 📚Project website: 🧑‍💻Code: 🧵1/n

In-hand object manipulation is a dexterity litmus test for robot hands. Our new system in Science Robotics Science Robotics can dynamically reorient many different objects in hand in the air. 📚Project website: 🧑‍💻Code: 🧵1/n

Tao Chen

30,666 次观看 • 2 年前

Can we learn a 3D world model that predicts object dynamics directly from videos? Introducing Particle-Grid Neural Dynamics: a learning-based simulator for deformable objects that trains from real-world videos. Website: ArXiv: Code: Demo: To appear at #RSS2025

Can we learn a 3D world model that predicts object dynamics directly from videos? Introducing Particle-Grid Neural Dynamics: a learning-based simulator for deformable objects that trains from real-world videos. Website: ArXiv: Code: Demo: To appear at #RSS2025

Kaifeng Zhang

45,971 次观看 • 1 年前

HDMI (HumanoiD iMitation for Interaction) is a framework enabling humanoid robots to learn whole-body object interaction skills from monocular RGB human videos. It extracts and retargets human poses and object trajectories using GVHMR and LocoMujoco, building reference datasets with contact annotations. The data is used to train an RL policy via robot-object co-tracking. HDMI achieved 67 consecutive door traversals.

HDMI (HumanoiD iMitation for Interaction) is a framework enabling humanoid robots to learn whole-body object interaction skills from monocular RGB human videos. It extracts and retargets human poses and object trajectories using GVHMR and LocoMujoco, building reference datasets with contact annotations. The data is used to train an RL policy via robot-object co-tracking. HDMI achieved 67 consecutive door traversals.

The Humanoid Hub

17,395 次观看 • 11 个月前

Dense observations with perfect camera poses are hard to collect. What is a more practical setting for large-scale general object reconstruction? Presenting FORGE - jointly recovering object shape and camera poses from few-view observations, and it generalizes to novel categories in zero-shot. Project page & code: Joint work with Zhenyu Jiang, Kristen Grauman, Yuke Zhu

Dense observations with perfect camera poses are hard to collect. What is a more practical setting for large-scale general object reconstruction? Presenting FORGE - jointly recovering object shape and camera poses from few-view observations, and it generalizes to novel categories in zero-shot. Project page & code: Joint work with Zhenyu Jiang, Kristen Grauman, Yuke Zhu

Hanwen Jiang

18,123 次观看 • 3 年前

New Plumber Module for Midnight Decor Catalog: Size Reference - Gauging the object dimensions from the Catalog UI is hard. It's better to see its size before getting your hands on it. So we add a size reference, a banana in this case, to the preview window.

New Plumber Module for Midnight Decor Catalog: Size Reference - Gauging the object dimensions from the Catalog UI is hard. It's better to see its size before getting your hands on it. So we add a size reference, a banana in this case, to the preview window.

Peter Yu

32,901 次观看 • 9 个月前

Hi Malaysian Moomoos. We all know Two Rabbits Code in Kuala Lumpur was cancelled but we had already started this small project before the announcement. Take a look at this cute animation that was suppose to be part of the VCR Project with a lil twist at the end. 마마무(MAMAMOO)

Hi Malaysian Moomoos. We all know Two Rabbits Code in Kuala Lumpur was cancelled but we had already started this small project before the announcement. Take a look at this cute animation that was suppose to be part of the VCR Project with a lil twist at the end. 마마무(MAMAMOO)

Mamamoo Union Malaysia

57,107 次观看 • 2 年前

🚨#BREAKING: Press at the White House has been evacuated by the Secret Service and the front lawn has been locked down after a object was thrown over a fence 📌#Washington | #DC At this time, the press at the White House has been evacuated by the Secret Service to the Briefing Room, and the North Lawn has been locked down. This follows reports that an object possibly a cell phone was thrown over the fence onto the North Lawn of the White House in Washington, D.C. Authorities are inspecting the object as a precautionary measure against potential threats. This is still a developing situation

🚨#BREAKING: Press at the White House has been evacuated by the Secret Service and the front lawn has been locked down after a object was thrown over a fence 📌#Washington | #DC At this time, the press at the White House has been evacuated by the Secret Service to the Briefing Room, and the North Lawn has been locked down. This follows reports that an object possibly a cell phone was thrown over the fence onto the North Lawn of the White House in Washington, D.C. Authorities are inspecting the object as a precautionary measure against potential threats. This is still a developing situation

R A W S A L E R T S

344,275 次观看 • 1 年前

A GUY PUT GPT-LEVEL AI INSIDE A 3D PRINTED ROBOT AND RELEASED THE ENTIRE THING FOR FREE Most people look at a 3D printer and see plastic toys This guy printed a robot with expressive eyes, object tracking, image recognition, support for ChatGPT, Qwen and offline models, then uploaded the STL files, code and hardware designs for anyone to build themselves The interesting part isn't the robot It's how fast the gap between "I have an idea" and "I built a working product" is disappearing A few years ago this required a team of engineers Now one person with a printer, open-source software and enough curiosity can build something that looks like it came from a robotics startup We're getting very close to a world where manufacturing, AI and robotics stop being separate industries and start becoming the same thing

A GUY PUT GPT-LEVEL AI INSIDE A 3D PRINTED ROBOT AND RELEASED THE ENTIRE THING FOR FREE Most people look at a 3D printer and see plastic toys This guy printed a robot with expressive eyes, object tracking, image recognition, support for ChatGPT, Qwen and offline models, then uploaded the STL files, code and hardware designs for anyone to build themselves The interesting part isn't the robot It's how fast the gap between "I have an idea" and "I built a working product" is disappearing A few years ago this required a team of engineers Now one person with a printer, open-source software and enough curiosity can build something that looks like it came from a robotics startup We're getting very close to a world where manufacturing, AI and robotics stop being separate industries and start becoming the same thing

lagerskoy

57,099 次观看 • 2 个月前

Large-scale 3D Scene Generation (all scenes are real-time rendered)!! Physically-grounded generative data without hallucinations is the missing link for robot learning and testing at scale. We introduce a method that directly generates large-scale 3D driving scenes with accurate geometry, allowing for causal view synthesis and generation with object permanence and explicit 3D geometry. This also allows for extreme trajectory extrapolation without failure! We also show that we can build fully data-driven simulators for end-to-end learning with this approach. Project: with the amazing team of Julian Ost, Amogh Joshi , Andrea Ramazzina, Maximilian Bömer, Mario Bijelic.

Large-scale 3D Scene Generation (all scenes are real-time rendered)!! Physically-grounded generative data without hallucinations is the missing link for robot learning and testing at scale. We introduce a method that directly generates large-scale 3D driving scenes with accurate geometry, allowing for causal view synthesis and generation with object permanence and explicit 3D geometry. This also allows for extreme trajectory extrapolation without failure! We also show that we can build fully data-driven simulators for end-to-end learning with this approach. Project: with the amazing team of Julian Ost, Amogh Joshi , Andrea Ramazzina, Maximilian Bömer, Mario Bijelic.

Felix Heide

27,779 次观看 • 11 个月前

Exabyte scale infrastructure requires specific features that extend beyond the core #objectstore. That’s why we’re introducing the MinIO Enterprise Object Store. Designed for commercial customers, the #EnterpriseObjectStore includes features that span observability, key management, S3 data firewall, data catalog, caching service and a new global console. Stay with us today and tomorrow as we walk you through each feature.

Exabyte scale infrastructure requires specific features that extend beyond the core #objectstore. That’s why we’re introducing the MinIO Enterprise Object Store. Designed for commercial customers, the #EnterpriseObjectStore includes features that span observability, key management, S3 data firewall, data catalog, caching service and a new global console. Stay with us today and tomorrow as we walk you through each feature.

MinIO

45,343 次观看 • 2 年前

The code, dataset and demos for our #SIGGRAPH2024 work on generating embodied avatar movements with Codebook Matching are now available! Everything can be found on the project page, including a precompiled binary that you can play around with!

Sebastian Starke

18,400 次观看 • 2 年前

WE WON BEST LOCAL FEATURE!!!!! We were a documentary in the running with some amazing local narrative features and I'm incredibly honored that we won! Thank you to the Philly Film Society for seeing the heart that we put into our passion project and thank you to my Philly Film Squad!

WE WON BEST LOCAL FEATURE!!!!! We were a documentary in the running with some amazing local narrative features and I'm incredibly honored that we won! Thank you to the Philly Film Society for seeing the heart that we put into our passion project and thank you to my Philly Film Squad!

Kyra Knox

12,270 次观看 • 2 年前