Yuejiang Liu

Thanks for your interest. Regarding the first question, did you train the model using the `square` scenarios? If the model is trained only in the `circle` crossing, it can hardly...

Hi Yuecong, thanks for sharing that! I've added your paper on Source-free Video Domain Adaptation to the list. I'd be happy to add the other, too, once it goes through...

Thanks for your pull request. Could you plz remove the '(presented in ICRA'24)' or keep it as opposed to the RA-L? That would help align the info of your paper...

> Thanks for your interest. My torch implementation of covariance is based on the Eq~2 of the [Deep Coral](https://arxiv.org/pdf/1607.01719.pdf). From my quick test, it produces the same results as the...

Thanks for the question! To my knowledge, both single-epoch and multi-epoch are commonly used in prior literature. The code of TTT and Tent use a single epoch, whereas [SHOT](https://github.com/tim-learn/SHOT/blob/9a8110cd16d6a52758459a2ea2c35f4d667666b8/object/image_target.py#L160), another...

Hi @InhwanBae, Thank you for your comments! This is a really great point! In fact, I did notice in our trajectron++ evaluations last year that there were almost no collisions...

Hi LeRobot authors, Thank you for your fantastic repo! I wanted to follow up regarding the expected results of VQ-BET. My collaborator and I ran your checkpoint and config across...

Hi @vietanhle-hri, sorry for the slow response. I did not encounter this error on my end, but it's possible that there are some hidden device settings that I overlooked. Do...

This is a bit surprising. Were you able to run the code without the `--visualize` option?