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Artificial Intelligence Computing Leadership from NVIDIA
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Research Labs
All Research Labs
3D Deep Learning
Applied Research
Autonomous Vehicles
Deep Imagination
Publications
AI Playground
New and Featured
AI Art Gallery
NGC Demos
Research Areas
AI & Machine Learning
3D Deep Learning
Computer Vision
Robotics
All Areas
Careers
Academic Collaborations
Government Collaborations
Graduate Fellowship
Internships
Research Openings
Research Scientists
Meet the Team
Licensing
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People
Danfei Xu
Research Area(s)
Autonomous Vehicles
Robotics
Main Field of Interest
Autonomous Vehicles
Publications
2024
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object Descriptors
Shuo Cheng,
Caelan Garrett
,
Ajay Mandlekar
,
Danfei Xu
Conference on Robot Learning (CoRL)
2023
BITS: Bi-level Imitation for Traffic Simulation
Danfei Xu
,
Yuxiao Chen
,
Boris Ivanovic
,
Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
ProgPrompt: Generating Situated Robot Task Plans Using Large Language Models
Ishika Singh,
Valts Blukis
,
Arsalan Mousavian
,
Ankit Goyal
,
Danfei Xu
,
Jonathan Tremblay
,
Dieter Fox
, Jesse Thomason, Animesh Garg
The International Conference on Robotics and Automation (ICRA)
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe,
Danfei Xu
,
Yuxiao Chen
,
Sushant Veer
,
Gerry Che
, Baishakhi Ray,
Marco Pavone
IEEE International Conference on Robotics and Automation (ICRA) 2023
2022
Robust Trajectory Prediction against Adversarial Attacks
Yulong Cao
,
Danfei Xu
,
Xinshuo Weng
, Z. Morely Mao, Anima Anandkumar,
Chaowei Xiao
,
Marco Pavone
Conference on Robot Learning (CoRL) 2022
Selected for Oral Presentation
AdvDO: Realistic Adversarial Attacks for Trajectory Prediction
Yulong Cao
,
Chaowei Xiao
, Anima Anandkumar,
Danfei Xu
,
Marco Pavone
European Conference on Computer Vision (ECCV) 2022