33 citations · 48 across the 6 of their papers we have counts for
6 papers
Rotation-Invariant Transformer for Point Cloud Matching
Hao Yu, Zheng Qin, Ji Hou +4
The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted descriptors. However, it is widely despised by recent deep matchers that obtain the rot…
OVO: One-shot Vision Transformer Search with Online distillation
Zimian Wei, Hengyue Pan, Xin Niu +1
Pure transformers have shown great potential for vision tasks recently. However, their accuracy in small or medium datasets is not satisfactory. Although some existing methods intr…
DMFormer: Closing the Gap Between CNN and Vision Transformers
Zimian Wei, Hengyue Pan, Lujun Li +4
Vision transformers have shown excellent performance in computer vision tasks. As the computation cost of their self-attention mechanism is expensive, recent works tried to replace…
IF-TTN: Information Fused Temporal Transformation Network for Video Action Recognition
Ke Yang, Peng Qiao, Dongsheng Li +1
Effective spatiotemporal feature representation is crucial to the video-based action recognition task. Focusing on discriminate spatiotemporal feature learning, we propose Informat…
Exploring Temporal Preservation Networks for Precise Temporal Action Localization
Ke Yang, Peng Qiao, Dongsheng Li +2
Temporal action localization is an important task of computer vision. Though a variety of methods have been proposed, it still remains an open question how to predict the temporal…
Weakly supervised object detection using pseudo-strong labels
Ke Yang, Dongsheng Li, Yong Dou +2
Object detection is an import task of computer vision.A variety of methods have been proposed,but methods using the weak labels still do not have a satisfactory result.In this pape…