Postdoc at NVIDIA. Previously at the University of Tübingen and CMU. Robot Learning, Autonomous Driving.
huggingface.co/datasets/nvi...
One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities
This is just the beginning, more features to come!
huggingface.co/datasets/nvi...
One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities
This is just the beginning, more features to come!
huggingface.co/datasets/nvi...
One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities
This is just the beginning, more features to come!
Nvidia has just released the huge Physical AI AV Dataset
- 1727 hrs of driving data: 310K clips of 20s
- sensor rig: 7 cameras, lidar, radar
- 25 countries, 2.5K cities from US + Europe
Kudos to @kashyap7x.bsky.social et al.!
huggingface.co/datasets/nvi...
Nvidia has just released the huge Physical AI AV Dataset
- 1727 hrs of driving data: 310K clips of 20s
- sensor rig: 7 cameras, lidar, radar
- 25 countries, 2.5K cities from US + Europe
Kudos to @kashyap7x.bsky.social et al.!
huggingface.co/datasets/nvi...
Nvidia just dropped 1700 hours of public driving data on HuggingFace from over 2500 cities:
huggingface.co/datasets/nvi...
Nvidia just dropped 1700 hours of public driving data on HuggingFace from over 2500 cities:
huggingface.co/datasets/nvi...
Nvidia just dropped 1700 hours of public driving data on HuggingFace from over 2500 cities:
huggingface.co/datasets/nvi...
huggingface.co/datasets/nvi...
One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities
This is just the beginning, more features to come!
huggingface.co/datasets/nvi...
One of the largest, most diverse & commercially usable open-source datasets for AVs.
- 1727 hours of driving data
- Camera, LiDAR, & radar
- 25 countries, 2500+ cities
This is just the beginning, more features to come!
These positions offer the exciting possibility of co-appointments with the @mpi-is.bsky.social and the @tuebingen-ai.bsky.social .
📌 Apply here: institute-tue.ellis.eu/en/jobs/PI-c...
These positions offer the exciting possibility of co-appointments with the @mpi-is.bsky.social and the @tuebingen-ai.bsky.social .
📌 Apply here: institute-tue.ellis.eu/en/jobs/PI-c...
workshop that we've been cooking with excitement in the past months.
Learning to See: Advancing Spatial Understanding for Embodied Intelligence #ICCV2025
Join us!
opendrivelab.com/iccv2025/wor...
workshop that we've been cooking with excitement in the past months.
Learning to See: Advancing Spatial Understanding for Embodied Intelligence #ICCV2025
Join us!
opendrivelab.com/iccv2025/wor...
🗓 Oct 19 morning | 📍 Hawaii Conv. Center, 305A
Featuring exciting talks and winner presentations from our challenges (70+ regs, ~30 subs). Don’t miss it! 🎉
#ICCV2025
🗓 Oct 19 morning | 📍 Hawaii Conv. Center, 305A
Featuring exciting talks and winner presentations from our challenges (70+ regs, ~30 subs). Don’t miss it! 🎉
#ICCV2025
Today I want to share two new works on this topic:
Eliciting higher alignment: arxiv.org/abs/2510.02425
Unpaired learning of unified reps: arxiv.org/abs/2510.08492
1/9
Today I want to share two new works on this topic:
Eliciting higher alignment: arxiv.org/abs/2510.02425
Unpaired learning of unified reps: arxiv.org/abs/2510.08492
1/9
📅 Deadline: Nov 3, 2025
cvpr.thecvf.com/Conferences/...
We expect to host over 100 workshops this year — and this is where the next breakthroughs begin. 🚀
With Mei Chen,Erik Blasch,Brian Clipp,Sharon Huang,Andreas Savakis @cvprconference.bsky.social
📅 Deadline: Nov 3, 2025
cvpr.thecvf.com/Conferences/...
We expect to host over 100 workshops this year — and this is where the next breakthroughs begin. 🚀
With Mei Chen,Erik Blasch,Brian Clipp,Sharon Huang,Andreas Savakis @cvprconference.bsky.social
www.scholar-inbox.com/conference/i...
www.scholar-inbox.com/conference/i...
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
We're a research / engineering team working together in industries like health and logistics to ship ML tools that drastically improve productivity. If you're interested in ML and RL work that matters, come join us 😀
Self-supervised learning is fascinating! How can AI learn from images only without labels?
In this video, we’ll build the method from first principles and uncover the key ideas behind CLIP, MAE, SimCLR, and DINO (v1–v3).
Video link: youtu.be/oGTasd3cliM
Self-supervised learning is fascinating! How can AI learn from images only without labels?
In this video, we’ll build the method from first principles and uncover the key ideas behind CLIP, MAE, SimCLR, and DINO (v1–v3).
Video link: youtu.be/oGTasd3cliM
graphics.stanford.edu/courses/cs20...
graphics.stanford.edu/courses/cs20...
Apply here: docs.google.com/forms/d/e/1F...
Apply here: docs.google.com/forms/d/e/1F...
📄 Paper: www.scholar-inbox.com/papers/He202...
arxiv.org/pdf/2508.13148
💻 Code: github.com/autonomousvi...
🌐 Project Page: cli212.github.io/MDPO/
📄 Paper: www.scholar-inbox.com/papers/He202...
arxiv.org/pdf/2508.13148
💻 Code: github.com/autonomousvi...
🌐 Project Page: cli212.github.io/MDPO/