no code implementations • CVPR 2022 • Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu
However, adopting relations between all the object or patch proposals for detection is inefficient, and an imbalanced combination of local and global relations brings extra noise that could mislead the training.
1 code implementation • 20 Feb 2022 • Yuqing Lan, Yao Duan, Yifei Shi, Hui Huang, Kai Xu
Context has proven to be one of the most important factors in object layout reasoning for 3D scene understanding.
1 code implementation • 20 Feb 2022 • Yuqing Lan, Yao Duan, Chenyi Liu, Chenyang Zhu, Yueshan Xiong, Hui Huang, Kai Xu
In the field of 3D object detection, previous methods have been taking the advantage of context encoding, graph embedding, or explicit relation reasoning to extract relation context.
no code implementations • 5 Apr 2021 • Dengsheng Chen, Haowen Deng, Jun Li, Duo Li, Yao Duan, Kai Xu
In this work, rather than defining a continuous or discrete kernel, we directly embed convolutional kernels into the learnable potential fields, giving rise to potential convolution.