Chris Huang
@ZhiyuChrisPostdoc @UCLA. Prev. PhD @NTUsg, Intern @NVIDIAAI, Visiting Researcher @UCBerkeley. Working on #AI, #ITS, #Robotics. Do what is right, not what is easy.
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DTPP [ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning github.com/MCZhi/DTPP
Thank you so much for featuring our paper!
[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning github.com/MCZhi/DTPP?tab…
Technical Deep Dive from #NVIDIAResearch ➡️ nvda.ws/4caemXG HydraMDP is an innovative framework that integrates human and rule-based knowledge for enhanced decision-making, ensuring driving safety and efficiency. 🚘 #CVPR2024
At @NVIDIAGTC, I presented my group's strategy on leveraging foundation models (FMs) to develop next-gen autonomous vehicles. Slides: tinyurl.com/55uhawka Recording: tinyurl.com/3j5kk55a Three pillars: standing up the FMs, using them within an AV program, and AI safety.
Why are Tesla @elonmusk and Wayve @alexgkendall @Jamie_Shotton moving towards end-to-end autonomous driving? What is the state-of-the-art in this field? With our friends @francislee2020 we recently wrote an extensive survey paper on this emerging topic: arxiv.org/abs/2306.16927
We are organizing a workshop on learning-enabled control of societally-aware transportation systems at CDC on December 12, 2023. More info here: sites.google.com/stanford.edu/l… (including call for poster submissions). #CDC2023 @alexandrebayen @DevanshJalota @jr_laz @KGoplakrishnan
Thank you for featuring our work!
GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving[ICCV'23] github.com/MCZhi/GameForm…
Doraemon predicted all the AI stuff around 44 years ago
The next iteration of the Long-term Human Motion Prediction (LHMP) workshop at #ICRA2023 is coming soon! This year, we’re also accepting short paper submissions for presentation at the workshop! For more information, please check out motionpredictionicra2023.github.io
Meta AI is open-sourcing Theseus, a library for incorporating expert domain knowledge into AI architectures for robotics and vision models. Read the paper & get the code: bit.ly/3zl6DF3
Good job team👏
Coming in 2nd at the @Google @Waymo Autonomous Vehicle Competitions in the Occupancy and Flow Prediction Category this year was the #NTUsg team led by Asst Prof Lyu Chen, beating teams from MIT, Tsinghua University and the Autonomous Vehicles industry. #NTUsgResearch #competition
We are proud to announce that the AutoMan Team @NTUsg won second place in this year's @Waymo Occupancy and Flow Prediction Challenge. Huge congrats to the team👏👏👏 Do check out our report available on @CVPR - Workshop on Autonomous Driving cvpr2022.wad.vision
Award-winning interaction and motion prediction algorithms developed by #NTUsg roboticists could help traffic systems predict trajectories of road users, paving the way for safer autonomous vehicles. bit.ly/NTUsgWaymo2021 #NTUsg2025
Two wins at Google’s Waymo Open Dataset Challenges for #NTUsg roboticists. They were the only winner in the Interaction Prediction category and took 2nd place for Motion Prediction. There were over 70 international teams participating. bit.ly/NTUsgWaymo2021…
Kudos to the AutoMan team! We got first place at Interaction Prediction and second place at Motion Prediction in the Waymo Open Dataset Challenge. Check out our talk at CVPR workshop on autonomous driving. youtu.be/sjXI_FKYw4Y
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