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Hi there, I'm Runsheng Xu(εΎζΆ¦η”Ÿ in Chinese)! πŸ‘‹

I am a Research Scientist at Waymo, working on the most exciting research projects in Autonomous Driving. I gained my PhD degree from UCLA in 2.5 years, with publications in CVPR/ECCV/ICCV/TPAMI/CoRL/ICRA. I was also a senior deep learning engineer at Mercedes-Benz R&D North America(MBRDNA) and a computer vision engineer at OPPO R&D US from 2018-2020.

πŸ”­ Reseach-wise, I mainly focus on:

  • Autonomous Driving topics related to Perception, Simulation, and Cooperative Driving Automation
  • Generative AI topics related to LLM, Diffusion, and World Model.
  • Computer Vision topics related to Vision Transformer.

πŸ˜„ I am open to:

  • collaboration opportunities (anytime & anywhere & any type) and
  • research internships

πŸ“« Contact me by:

Runsheng's github stats

Runsheng Xu's Projects

cobevt icon cobevt

[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers

dvrl_pytorch icon dvrl_pytorch

Data Valuation using Reinforcement Learning Pytorch Version

metadrive icon metadrive

MetaDrive: Composing Diverse Scenarios for Generalizable Reinforcement Learning

model_anostic icon model_anostic

[ICRA2023] The official implementation of paper "Model-agnostic Multi-agent Perception"

mpda icon mpda

[ICRA2023] The official implementation of paper "Bridging the Domain Gap for Multi-Agent Perception"

opencood icon opencood

[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.

pik-fix icon pik-fix

[WACV2023] The official code implementation of paper "Pik-Fix: Restoring and Colorizing Old Photos".

v2x-vit icon v2x-vit

[ECCV2022] Official Implementation of paper "V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer"

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