Here are some of my predictions for the future. These are based on vibes and intuition, not careful analysis, so may be worthless, although I am willing to bet money on them. I've grouped them into 3 themes, in decreasing order of confidence: AI, US Politics, and Global Issues
Scene Flow promises to be a catch all solution for open-world detection of moving objects, but in practice they fail on the second most common class in AV datasets pedestrians!
Solving this is the goal of this year's Argoverse 2 Scene Flow challenge! https://t.co/fP5zGKBt4K
🧵👇
We’ve been waiting for this moment and now we can share it with you: Today, we received our paid driverless permit from the CPUC! In the coming weeks, we’ll begin charging fares for rider-only trips and welcoming new riders into Waymo One in San Francisco. https://t.co/xxNiKuLevG
Fact: The Waymo Driver is already improving road safety.
Read what our Chief Safety Officer Mauricio Peña had to say about our safety record and focus on transparency: https://t.co/R7EiHcktJX
Pls stop at #CVPR2023 poster *Tue AM 110* to learn about GC-KPL: a novel method for learning 3D human keypoints from point clouds w/o human labels.
Project: https://t.co/XYgT2MtAEW
Joint work w/ awesome folks @gorban Jingwei Ji, @MahyarNajibi, Yin Zhou, Dragomir Anguelov, @Waymo
Next week, we’ll be in Vancouver for #CVPR2023 to present our latest work in autonomous driving research.
If you’re attending, stop by Booth #1217 to meet our team. Find more info on the workshops we're hosting or participating in: https://t.co/49dK9cmrkX
Check out our #CVPR2023 paper on 3D Human Keypoints Estimation From Point Clouds in the Wild Without Human Labels https://t.co/KspaOpK9Fd
Huge shout out to @JenWeng4 who interned in our team last summer and did all the work!
@AnguelovDrago Here are direct links on the human pose estimation challenge https://t.co/rjT95LF7Yu and a description on our new metric
https://t.co/oL3nq8fdBw
Folks, there is about 1 week until the deadline for our #waymo Open Dataset Challenges! We are hosting office hours for those that can benefit from advice or trouble shooting - check out the details below!
https://t.co/pIfoH3am42
The only rational move is to ignore all such pronouncements, much like you should have ignored all such pronouncements in 2021 and 2022.
News worth paying attention to is not deliberately formulated to induce strong (negative) emotional responses.
AI research is fueling the progress of autonomous driving. As part of our contribution to the research community, we’re launching the next round of the Waymo Open Dataset Challenges and expanding the dataset. We invite all researchers to participate and drive innovation forward!
We’re thrilled to launch the 2023 Waymo Open Dataset Challenges to help accelerate research breakthroughs in fundamental AV topics, including underexplored ones such as Sim Agents. Plus, the dataset has grown with additional label types and sensor data. https://t.co/zyNdkauG4w
They're almost certainly doing deep learning based super resolution -- which brings up an interesting question.
It's not "enhancement" of the original, as the details are dreamed up by the model (in this case overfit to moon images).
At what point does it become "replacement"?
despite all the hate & bs on twitter, san francisco is still the heart of AI, the biggest technological shift since the dawn of the internet
the tech people who loudly moved out of sf in 2020 have ended up missing the most important thing to happen in tech in decades
oh well 🙃