正在加载视频...

视频加载失败

返回首页

StreamVLN Streaming Vision-and-Language Navigation via SlowFast Context Modeling

_akhaliq's profile picture

AK

511,664 subscribers

26,667 次观看 • 1 年前 •via X (Twitter)

LIVE

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

Vision-language models perform diverse tasks via in-context learning. Time for robots to do the same! Introducing In-Context Robot Transformer (ICRT): a robot policy that learns new tasks by prompting with robot trajectories, without any fine-tuning. [1/N]
0:25

Vision-language models perform diverse tasks via in-context learning. Time for robots to do the same! Introducing In-Context Robot Transformer (ICRT): a robot policy that learns new tasks by prompting with robot trajectories, without any fine-tuning. [1/N]

Max Fu

40,466 次观看 • 1 年前

Large language models reason through text. Vision‑language‑action models reason through the real world. By fusing perception, context, and action from live video, VLAs deliver the awareness physical AI needs for next‑gen robotics and edge systems.
1:28

Large language models reason through text. Vision‑language‑action models reason through the real world. By fusing perception, context, and action from live video, VLAs deliver the awareness physical AI needs for next‑gen robotics and edge systems.

Intel

15,931 次观看 • 5 个月前

Google announces MCP for Android. AppFunctions lets Android apps expose capabilities directly to AI agents. Agents can discover and execute them via natural language. No app navigation needed ❤️‍🔥
0:28

Google announces MCP for Android. AppFunctions lets Android apps expose capabilities directly to AI agents. Agents can discover and execute them via natural language. No app navigation needed ❤️‍🔥

Jorge Castillo

285,168 次观看 • 4 个月前

Qwen-VLA feels like one of the first real robotics foundation models. A single system trained across robot manipulation, navigation, egocentric human video, simulation, and vision-language reasoning instead of isolated robot policies.
2:52

Qwen-VLA feels like one of the first real robotics foundation models. A single system trained across robot manipulation, navigation, egocentric human video, simulation, and vision-language reasoning instead of isolated robot policies.

Robots Digest 🤖

14,722 次观看 • 2 个月前

Robots forget because vision is expensive. AstraNav-Memory shows you can compress vision 20x and still remember hundreds of past frames, unlocking true lifelong navigation.
0:45

Robots forget because vision is expensive. AstraNav-Memory shows you can compress vision 20x and still remember hundreds of past frames, unlocking true lifelong navigation.

Robots Digest 🤖

26,667 次观看 • 7 个月前

We just brought flow maps to language modeling for one-step sequence generation 💥 Discrete diffusion is not necessary -- continuous flows over one-hot encodings achieve SoTA performance and ≥8.3× faster generation 🔥 We believe this is a major step forward for discrete generative modeling and language modeling alike. 🚀 Full thread from first author Chanhyuk Lee:
0:23

We just brought flow maps to language modeling for one-step sequence generation 💥 Discrete diffusion is not necessary -- continuous flows over one-hot encodings achieve SoTA performance and ≥8.3× faster generation 🔥 We believe this is a major step forward for discrete generative modeling and language modeling alike. 🚀 Full thread from first author Chanhyuk Lee:

Nicholas Boffi

44,286 次观看 • 5 个月前

What happens when we train the largest vision-language model and add in robot experiences? The result is PaLM-E 🌴🤖, a 562-billion parameter, general-purpose, embodied visual-language generalist - across robotics, vision, and language. Website:
0:42

What happens when we train the largest vision-language model and add in robot experiences? The result is PaLM-E 🌴🤖, a 562-billion parameter, general-purpose, embodied visual-language generalist - across robotics, vision, and language. Website:

Danny Driess

1,272,568 次观看 • 3 年前

DynamicVLA A compact 0.4B Vision-Language-Action model that finally lets robots manipulate *moving* objects in real-time, closing the perception-execution gap with Continuous Inference and Latent-aware Action Streaming.
0:23

DynamicVLA A compact 0.4B Vision-Language-Action model that finally lets robots manipulate *moving* objects in real-time, closing the perception-execution gap with Continuous Inference and Latent-aware Action Streaming.

DailyPapers

16,357 次观看 • 6 个月前

StarVector is out on Hugging Face StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.
0:52

StarVector is out on Hugging Face StarVector is a foundation model for generating Scalable Vector Graphics (SVG) code from images and text. It utilizes a Vision-Language Modeling architecture to understand both visual and textual inputs, enabling high-quality vectorization and text-guided SVG creation.

AK

254,342 次观看 • 1 年前

Computer vision can see what happened — agentic AI explains why it matters and what to do next. Here’s how teams are upgrading video analytics with vision language models: 🔍 Turn video into searchable intelligence 🧠 Add context and reasoning to system alerts ⚡ Summarize complex scenes and answer questions automatically Read the blog to see 3 real-world ways to bring agentic AI to computer vision →
0:30

Computer vision can see what happened — agentic AI explains why it matters and what to do next. Here’s how teams are upgrading video analytics with vision language models: 🔍 Turn video into searchable intelligence 🧠 Add context and reasoning to system alerts ⚡ Summarize complex scenes and answer questions automatically Read the blog to see 3 real-world ways to bring agentic AI to computer vision →

NVIDIA AI

14,273 次观看 • 6 个月前

🔜🌟 A better, faster, easier to use and a more powerful date picker coming soon. Natural language support, keyboard navigation and more!
0:49

🔜🌟 A better, faster, easier to use and a more powerful date picker coming soon. Natural language support, keyboard navigation and more!

Beehive

53,937 次观看 • 4 个月前

Introducing → CodecFlow @CodecOpenFlow offers agent first infra powered by vision language models, making robotics and desktop operators simple Agents spin up compute, run models, and build autonomously with payments via x402 on @Solana 🔗
0:40

Introducing → CodecFlow @CodecOpenFlow offers agent first infra powered by vision language models, making robotics and desktop operators simple Agents spin up compute, run models, and build autonomously with payments via x402 on @Solana 🔗

Superteam UAE

33,841 次观看 • 3 个月前

demo of a The Browser Company AI feature for Arc manipulate websites (via code) using natural language longer video with context on Browser Co YouTube page
1:22

demo of a The Browser Company AI feature for Arc manipulate websites (via code) using natural language longer video with context on Browser Co YouTube page

Josh Miller

223,821 次观看 • 3 年前

LeVERB is a VLA framework for humanoid whole-body control, combining a vision-language model and a low-level controller via a shared latent action space, trained entirely in sim, deployed zero shot.
0:32

LeVERB is a VLA framework for humanoid whole-body control, combining a vision-language model and a low-level controller via a shared latent action space, trained entirely in sim, deployed zero shot.

The Humanoid Hub

10,233 次观看 • 1 年前

Tired of guests messing with your Tesla Driver Profile setup? Protect your streaming logins, navigation history, and drive settings with this hack:
1:30

Tired of guests messing with your Tesla Driver Profile setup? Protect your streaming logins, navigation history, and drive settings with this hack:

Dispatch

11,683 次观看 • 10 个月前

🚨CMU Vision-Language-Autonomy update: The team released a video to "find the refrigerator in the lounge"–– they are looking for new PhD & Master's students to work on long-horizon navigation & instruction! Contact Ji Zhang for more information:
1:00

🚨CMU Vision-Language-Autonomy update: The team released a video to "find the refrigerator in the lounge"–– they are looking for new PhD & Master's students to work on long-horizon navigation & instruction! Contact Ji Zhang for more information:

CMU Robotics Institute

20,362 次观看 • 10 个月前