2 citations · 3 across the 5 of their papers we have counts for
6 papers
DAMap: Distance-aware MapNet for High Quality HD Map Construction
Jinpeng Dong, Chen Li, Yutong Lin +3
Predicting High-definition (HD) map elements with high quality (high classification and localization scores) is crucial to the safety of autonomous driving vehicles. However, curre…
FreqPDE: Rethinking Positional Depth Embedding for Multi-View 3D Object Detection Transformers
Haisheng Su, Junjie Zhang, Feixiang Song +4
Detecting 3D objects accurately from multi-view 2D images is a challenging yet essential task in the field of autonomous driving. Current methods resort to integrating depth predic…
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
Ning Gao, Sanping Zhou, Le Wang +1
Semi-supervised learning has emerged as a widely adopted technique in the field of medical image segmentation. The existing works either focuses on the construction of consistency…
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai, Sanping Zhou, Zheng Qin +2
Noisy label learning aims to learn robust networks under the supervision of noisy labels, which plays a critical role in deep learning. Existing work either conducts sample selecti…
Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking
Yizhe Li, Sanping Zhou, Zheng Qin +3
Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which aims to locate targets and maintain a consistent identity for each target throughout a vi…
FFINet: Future Feedback Interaction Network for Motion Forecasting
Miao Kang, Shengqi Wang, Sanping Zhou +3
Motion forecasting plays a crucial role in autonomous driving, with the aim of predicting the future reasonable motions of traffic agents. Most existing methods mainly model the hi…