
Head of AI Research @Cruise, Ex-@Waymo, Ex-@Google, PhD @Oxford_VGG @UniofOxford
San Francisco, CA
Joined November 2010
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- Following258
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Yuning Chai retweeted
(1/N ) Can a large multimodal model not only understand bboxes, but also understand arbitrary visual prompts (scribble, arrow, etc) without explicit region embedding? Yes! Our latest work ViP-LLaVA arxiv.org/abs/2312.00784 shows an extremely simple but effective approach.
At CVPR this week. Excited to present our research work at Cruise at the E2E AD workshop (opendrivelab.com/e2ead/cvpr2…) on Sunday and the SAIAD workshop (sites.google.com/view/saiad2…) on Monday. See you there!
We are open for business for 2023 interns! Our team works on projects across the self-driving stack, from perception, prediction, planning to simulation and testing. If you are interested, please reach out to me, or apply here: getcruise.com/careers/jobs/4…
Yuning Chai retweeted
📜🚨📜🚨
NN loss landscapes are full of permutation symmetries, ie. swap any 2 units in a hidden layer. What does this mean for SGD? Is this practically useful?
For the past 5 yrs these Qs have fascinated me. Today, I am ready to announce "Git Re-Basin"!
arxiv.org/abs/2209.04836
Yuning Chai retweeted
Wanna switch from academia to industry but unsure how? Here's a guide!
rowanmcallister.github.io/po…
Thanks to Greg Kahn, Kate Rakelly, @iamborisi, Rebekah Baratho, @ashwinb96, Jessica Yin, @nick_rhinehart, @thejesscat, @RaresAmbrus
I was privileged to represent #cruise at the self-driving workshop at #cvpr2022, where I highlighted some of our long-term investments (uncertainty, radar, RL, etc.) and discussed the challenges to deploy the AV. Check out the newly released recording: youtube.com/watch?v=EJ0hgOc0…
Yuning Chai retweeted
An incredible line-up of confirmed speakers:
Abhinav Valada
@AjdDavison
@HLategahn
Philipp Krähenbühl
@yuning_chai
💡 More information: sites.google.com/view/mlad-e…
Had a full in-person audience + hundreds more on zoom listening to my talk about #Cruise at the WAD workshop at #CVPR22. Recording to follow soon! #SelfDrivingCars
Interested in our ongoing effort in deploying driverless vehicle in SF and beyond and happen to be in New Orleans by Chance? Come join my talk at cvpr2022.wad.vision on Monday:
⏰: 415pm
🛖: Great Hall C
#cruise #CVPR2022 #SelfDrivingCars
Excited to be at the first "real" conference in 2.5 years! Hit me up if you are in New Orleans the coming week! #CVPR22
Excited to be in Phila and have to opportunity to present alongside so many robotics visionaries at the Scaling Robot Learning
workshop (sites.google.com/view/icra22…) at ICRA'22 tomorrow! #ICRA2022 #selfDrivingCar #cruise
We'll be co-hosting this year's Workshop on Autonomous Driving at CVPR'21 tomorrow (Sunday, 6/20): cvpr2021.wad.vision/. We have a star-studded line-up of invited speakers! Event will be streamed on YT: youtu.be/eOL_rCK59ZI
Finally done with the recordings. They are now on YT: youtube.com/playlist?list=PL…
Yuning Chai retweeted
Our work on Learning Animatable 3D Human Shape and Skeleton in a Single Neural Network.
Do you want to recover and animate clothed pedestrians in outdoor scene? Checkout our paper S3 arxiv.org/abs/2101.06571, presenting in Session 10 (11am-1:30pm ET June 24) #CVPR2021!
Joint work with @ShenlongWang, Siva, Zeng, @weichiuma, @skywalkeryxc, @meyumer and @RaquelUrtasun.
Yuning Chai retweeted
Is monocular 3D perception needed? Is the field making meaningful progress? What do you think? Tell us below and join our Mono3D #CVPR2021 workshop on Friday 25 8am-12pm PT sites.google.com/view/mono3d…! We have great speakers, 2 panels, and we'll announce the DDAD challenge winners!
70%Need Mono3D & Progress ↗️
13%Need Mono3D, Progress meh
4%No need although progress
13%No need, no progress
47 votes • Final resultsExcited to be involved in 3 papers at CVPR'21:
- Purely perspective 3D detection in point cloud: tinyurl.com/y998vmpc
- 2-stage perspective 3D detection in point cloud: tinyurl.com/5dp6mv2w
- HDMap generation: tinyurl.com/2ybtr5n5
Yuning Chai retweeted
Our team got the first place in the Waymo Motion Prediction Challenge! I know this is not easy for a college team, credit goes to my amazing students! Our winning method is called DenseTNT, more information will be released soon.
Yuning Chai retweeted
Enjoyed giving a keynote speech at CVPR Workshop on Autonomous Driving, sharing our recent results learning complex multi-agent interaction behaviours for driving in busy urban environments. Recording is here:
youtu.be/Va-F4qtTQ6g















