Fangqiang Ding

icon indicating a website link https://toytiny.github.io

icon company School of Informatics, University of Edinburgh icon location Edinburgh icon location PhD from University of Edinburgh; Spatial Perception for Physical AI

Results 6 comments of Fangqiang Ding

code release for GT occupancy and flow annotation

Thanks!

Radar pointcloud & Max range

+1

The NAS download is still unavailable

I try to access it from UK, and it's also unavailable.

When will the dataset available to download via google drive

> use this link https://github.com/kaist-avelab/K-Lane Thanks. Is this the link only for K-lane dataset or for all K-series?

欢迎分享ECCV 2024 论文和代码 / Welcome to share the paper and code of ECCV 2024

Paper title: milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing Paper link: https://arxiv.org/abs/2306.17010 Code link: https://github.com/Toytiny/milliFlow/

Introducing our Radar-based occupancy perception work

Hi Huaiyuan, Thanks a lot! Kindly note that our paper is accepted by NeurIPS 2024, which might be marked in your table. Best, Fangqiang