no code implementations • 28 May 2024 • Zhenjie Zhang, Yuyang Rao, Hao Xiao, Xiaokui Xiao, Yin Yang
Unlike traditional approaches based on validating inference procedures, such as ZKML or OPML, our PoQ paradigm focuses on the outcome quality of model inference.
no code implementations • 17 May 2024 • Zhe Huang, Yizhe Zhao, Hao Xiao, Chenyan Wu, Lingting Ge
Recent advances in multi-view camera-only 3D object detection either rely on an accurate reconstruction of bird's-eye-view (BEV) 3D features or on traditional 2D perspective view (PV) image features.
no code implementations • 5 Dec 2023 • Yiqian Gan, Hao Xiao, Yizhe Zhao, Ethan Zhang, Zhe Huang, Xin Ye, Lingting Ge
Motion prediction has been an essential component of autonomous driving systems since it handles highly uncertain and complex scenarios involving moving agents of different types.
no code implementations • 2 Jun 2023 • Ethan Zhang, Hao Xiao, Yiqian Gan, Lei Wang
In this work we propose a deep learning model, i. e., SAPI, to predict vehicle trajectories at intersections.
no code implementations • 17 May 2019 • Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei
The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.