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Danfei Xu

33 papers hereh-index 3310.1k citations45 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author7
  • middle author23
  • last author3

Across the 33 of 33 papers where every author was matched, so the position is known.

fields
  • cs.RO15
  • cs.CV10
  • cs.AI4
  • cs.LG4
same name
  • Danfei Xu — 16 papers, h 4
  • Danfei Xu — 12 papers, h 5
  • Danfei Xu — 9 papers, h 8
  • Danfei Xu — 9 papers, h 7
  • Danfei Xu — 8 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162023
most citedDenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

93 citations · 311 across the 21 of their papers we have counts for

collaborators
Showing 2022 · cs.ROShow all

4 papers · 2 filters

cs.RO2022★ 4 cited

Guided Conditional Diffusion for Controllable Traffic Simulation

Ziyuan Zhong, Davis Rempe, Danfei Xu +5

Controllable and realistic traffic simulation is critical for developing and verifying autonomous vehicles. Typical heuristic-based traffic models offer flexible control to make ve…

cs.RO2022★ 44 cited

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models

Ishika Singh, Valts Blukis, Arsalan Mousavian +6

Task planning can require defining myriad domain knowledge about the world in which a robot needs to act. To ameliorate that effort, large language models (LLMs) can be used to sco…

cs.RO2022

BITS: Bi-level Imitation for Traffic Simulation

Danfei Xu, Yuxiao Chen, Boris Ivanovic +1

Simulation is the key to scaling up validation and verification for robotic systems such as autonomous vehicles. Despite advances in high-fidelity physics and sensor simulation, a…

cs.RO2022

Generalizable Task Planning through Representation Pretraining

Chen Wang, Danfei Xu, Li Fei-Fei

The ability to plan for multi-step manipulation tasks in unseen situations is crucial for future home robots. But collecting sufficient experience data for end-to-end learning is o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.