AutoBots

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Thanks for your excellent work! In the following objective, the approximating posterior of the latent variable is p_old(z|y,x1:t).The paper has said it can be calculated because the latent variable z...

ChengkaiYang

Thank you for open-sourcing your great work! We are currently looking for transformer-based forecasting models that work well on the ETH-UCY dataset. Do you know how AutoBots performs on the...

YuejiangLIU

I have one question about the visualization of prediction results. After I have the prediction of joint mode, how can I plot both ego and agents in the ego's map?...

GilgameshD

Hey, Thanks for open sourcing the code. I had few doubts regarding the computation of marginal and joint errors in train.py. 1. agent masking is different for computing [marginal error](https://github.com/roggirg/AutoBots/blob/master/train.py#L154)...

Dhagash4

The loss calculation in the paper includes log p(Z | X) and log p(Y|Z,X), but in the code https://github.com/roggirg/AutoBots/blob/3a61ad9f80603f99ab1e9cc535acccf72c5d6bea/utils/train_helpers.py#L72 only the p(Y|Z,X) participates in the loss calculation. Please give me...

liuyueChang

Hi there, Could you share the pre-trained model weights for the NuScecnes dataset? Thanks in advance! Maarten

MaartenHugenholtz