Yuning Chai (@yuning_chai) header
Yuning Chai (@yuning_chai) profile picture

Head of AI Research @Cruise, Ex-@Waymo, Ex-@Google, PhD @Oxford_VGG @UniofOxford

San Francisco, CA
Joined November 2010
Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)Photo by Yuning Chai (@yuning_chai)
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.
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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!
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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…
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📜🚨📜🚨 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
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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…
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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
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Best party in town at barcaria tonight! #cruise #CVPR22
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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
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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
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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
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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.
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Benchmarking Representation Learning for Natural World Image Collections. See how SimCLR, SwAV, and MoCo compare to supervised baselines when trained on the new iNat2021 dataset. Come chat with me @ #CVPR2021 #CVPR June 24, 2021 11AM-1:30PM EDT (sess 10)!
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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 results
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Excited 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.
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Excellent work from Lu Mi's internship at Waymo!
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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
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