9 citations · 16 across the 8 of their papers we have counts for
4 papers · 1 filter
End-to-End Lane detection with One-to-Several Transformer
Kunyang Zhou, Rui Zhou
Although lane detection methods have shown impressive performance in real-world scenarios, most of methods require post-processing which is not robust enough. Therefore, end-to-end…
Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
Rui Zhou, Hongyu Zhou, Huidong Gao +3
Accurate, long-term forecasting of pedestrian trajectories in highly dynamic and interactive scenes is a long-standing challenge. Recent advances in using data-driven approaches ha…
Efficient Human Pose Estimation by Maximizing Fusion and High-Level Spatial Attention
Zhiyuan Ren, Yaohai Zhou, Yizhe Chen +2
In this paper, we propose an efficient human pose estimation network -- SFM (slender fusion model) by fusing multi-level features and adding lightweight attention blocks -- HSA (Hi…
Efficient Deep Representation Learning by Adaptive Latent Space Sampling
Yuanhan Mo, Shuo Wang, Chengliang Dai +4
Supervised deep learning requires a large amount of training samples with annotations (e.g. label class for classification task, pixel- or voxel-wised label map for segmentation ta…