PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments

1 code implementation • 23 Dec 2023 • Yang You, Kai Xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou Fang, Adam W. Harley, Leonidas Guibas, Cewu Lu

We introduce PACE (Pose Annotations in Cluttered Environments), a large-scale benchmark designed to advance the development and evaluation of pose estimation methods in cluttered scenarios.

Pose Estimation Pose Tracking

Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge

no code implementations • 26 Jun 2023 • Yihan Hu, Kun Li, Pingyuan Liang, Jingyu Qian, Zhening Yang, Haichao Zhang, Wenxin Shao, Zhuangzhuang Ding, Wei Xu, Qiang Liu

This paper presents our 2nd place solution for the NuPlan Challenge 2023.

Autonomous Driving

HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction

no code implementations • 21 Jun 2022 • Yihan Hu, Wenxin Shao, Bo Jiang, Jiajie Chen, Siqi Chai, Zhening Yang, Jingyu Qian, Helong Zhou, Qiang Liu

In this report, we introduce our solution to the Occupancy and Flow Prediction challenge in the Waymo Open Dataset Challenges at CVPR 2022, which ranks 1st on the leaderboard.