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Posts by Bruno Santos

@parskatt.bsky.social congrats for your PhD thesis submission and good luck to the defense

7 months ago 1 0 0 0
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๐—›๐—”๐— ๐—ฆ๐˜๐Ÿฏ๐—ฅ: ๐—›๐˜‚๐—บ๐—ฎ๐—ป-๐—”๐˜„๐—ฎ๐—ฟ๐—ฒ ๐— ๐˜‚๐—น๐˜๐—ถ-๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ฆ๐˜๐—ฒ๐—ฟ๐—ฒ๐—ผ ๐Ÿฏ๐—— ๐—ฅ๐—ฒ๐—ฐ๐—ผ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป
Sara Rojas, Matthieu Armando, Bernard Ghamen ... Gregory Rogez
arxiv.org/abs/2508.16433
Trending on www.scholar-inbox.com

7 months ago 11 3 0 0

Goodharts law

8 months ago 0 0 0 0

Climate change

10 months ago 0 0 0 0

I was wondering how education systems need to adapt to the advent of ChatGPT

11 months ago 0 0 0 0

Not intended like that

11 months ago 2 0 0 0

Elon would provide

11 months ago 1 0 1 0
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Part 2 of SLAM handbook is out for public comments! let us know what you think :-) Issue tracker on GitHub awaits! Link: github.com/SLAM-Handboo...

1 year ago 49 11 0 2

Congrats ! You are in a creative mode ! 3 papers in a row . Looking forward to read them

1 year ago 0 0 0 0

How does it compare with kitti dataset ?

1 year ago 1 0 0 0
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FutureMapping: The Computational Structure of Spatial AI Systems We discuss and predict the evolution of Simultaneous Localisation and Mapping (SLAM) into a general geometric and semantic `Spatial AI' perception capability for intelligent embodied devices. A big ga...

Remember: the route to Spatial AI is through SLAM. Key research topics are representations for real-time fusion of measurements and priors into persistent semantic/metric scene models; and algorithm/hardware co-design for 1000X efficiency. #SpatialAI
arxiv.org/abs/1803.11288

1 year ago 15 5 0 0

Are you you depthanything v2 ?

1 year ago 0 0 1 0

Wang & all for the win

1 year ago 0 0 0 0

Yes . That was what I meant . Thanks

1 year ago 1 0 0 0

So one of downstream tasks is also tracking ? Can we separate from the other downstream tasks ?

1 year ago 0 0 1 0

Maybe less expensive than SF ?:โ€™;)

1 year ago 0 0 1 0

๐Ÿ˜‚๐Ÿ˜‚๐Ÿ˜‚

1 year ago 1 0 0 0
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LeRobot goes to driving school: Worldโ€™s largest open-source self-driving dataset Weโ€™re on a journey to advance and democratize artificial intelligence through open source and open science.

Learning to Drive (L2D): the most exciting dataset release of the year by @hf.co & @yaak-ai.bsky.social
- 5K hours of driving data from 3 cameras
- lots of other synchronized data: GPU, IMU, CAN, actions, task descriptions
- 90TB of data
- LeRobot data formatting
huggingface.co/blog/lerobot...

1 year ago 23 5 1 1

Love it โ™ฅ๏ธ

1 year ago 0 0 0 0
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This story reminds a bit how llms work nowadays. They output facts like the chofer .

1 year ago 1 0 0 0

We should have quotes peer review ;)

1 year ago 0 0 0 0

Congrats !!

1 year ago 1 0 0 0

Lots of jobs advertisements for computer vision require a PhD or bonus points for it . Is it s valid reason for doing it ?

1 year ago 2 0 1 0

How did you recover camera model without calibration?

1 year ago 0 0 0 0

Open source code now available MASt3R-SLAM: the best dense visual SLAM system I've ever seen. Real-time and monocular, and easy to run with a live camera or on videos without needing to know the camera calibration. Brilliant work from Eric and Riku.

1 year ago 31 6 0 0
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Thanks !

1 year ago 0 0 0 0

Will the recording be available online ? Thanks

1 year ago 0 0 1 0

I learnt today about exploitation vs exploitation searching for new knowledge domains .

1 year ago 3 0 0 0

I will have to think more about this

1 year ago 1 0 0 0

That makes sense

1 year ago 1 0 0 0