90 citations · 93 across the 3 of their papers we have counts for
3 papers
cs.CV2023
DeGMix: Efficient Multi-Task Dense Prediction with Deformable and Gating Mixer
Yangyang Xu, Yibo Yang, Bernard Ghanem +3
Convolution neural networks and Transformers have their own advantages and both have been widely used for dense prediction in multi-task learning (MTL). Existing studies typically…
cs.CV2022★ 3 cited
Multi-Task Learning with Multi-Query Transformer for Dense Prediction
Yangyang Xu, Xiangtai Li, Haobo Yuan +2
Previous multi-task dense prediction studies developed complex pipelines such as multi-modal distillations in multiple stages or searching for task relational contexts for each tas…
cs.CV2018★ 90 cited
Ensemble One-dimensional Convolution Neural Networks for Skeleton-based Action Recognition
Yangyang Xu, Lei Wang
In this paper, we proposed a effective but extensible residual one-dimensional convolution neural network as base network, based on the this network, we proposed four subnets to ex…