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spf2's Introduction

Hi there 👋, welcome to Xinshuo Weng's GitHub page!

I am a Ph.D. candidate at the Robotics Institute of Carnegie Mellon University advised by Kris Kitani and also an incoming research scientist at the NVIDIA Autonomous Vehicle Research. I received master's degree (2016-17) at CMU. Prior to CMU, I worked at Facebook Reality Lab as a research engineer to help build “Photorealistic Telepresence”. My bachelor was received from Wuhan University. My research interest lies in generative models and 3D computer vision for autonomous systems. I have developed 3D multi-object tracking systems such as AB3DMOT that received >1,300 stars on GitHub. Also, I am leading a few autonomous driving workshops at top conferences such as NeurIPS 2021, IJCAI 2021, ICCV 2021 and IROS 2021. I was awarded a number of fellowships and nominations such as the Qualcomm Innovation Fellowship for 2020 and Facebook Fellowship Finalist for 2021.

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spf2's Issues

Questions on data split and Chamfer Distance

Hi,

Can you give an estimate on when the code will be released? I have two questions regarding your CoRL2020 paper.

  1. Which sequences of KITTI-Raw did you use for training, validation, and testing?
  2. Why is the Chamfer Distance between two point clouds in Equation (1) of your paper not averaged with respect to the number of points in the point clouds? Also, do you include a factor of 0.5 in your reported results as posted in this issue?

Thank you!

request for code release

Dear Xinshuo,

We would like to treat SPF as a baseline in our work and compare our method with SPF.

We tried to implement SPF by ourselves but the results show it does not make any useful predictions.

Could you please release the code? Thank you so much!

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