9 citations · 16 across the 8 of their papers we have counts for
8 papers
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…
Speech Dereverberation with a Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
Speech Dereverberation with A Reverberation Time Shortening Target
Rui Zhou, Wenye Zhu, Xiaofei Li
This work proposes a new learning target based on reverberation time shortening (RTS) for speech dereverberation. The learning target for dereverberation is usually set as the dire…
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…
A General Framework for Revealing Human Mind with auto-encoding GANs
Pan Wang, Rui Zhou, Shuo Wang +6
Addressing the question of visualising human mind could help us to find regions that are associated with observed cognition and responsible for expressing the elusive mental image,…
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…
Tighter Bound Estimation of Sensitivity Analysis for Incremental and Decremental Data Modification
Kaichen Zhou, Shiji Song, Gao Huang +2
In large-scale classification problems, the data set always be faced with frequent updates when a part of the data is added to or removed from the original data set. In this case,…