1 code implementation • 25 Apr 2022 • Zhimin Chen, Peng Chen, Ziyu Guo, Xianbin Wang
To improve the DOA estimation, a novel atomic norm-based method is proposed to remove the interference signals by the sparse reconstruction.
1 code implementation • 24 Mar 2022 • Renrui Zhang, Han Qiu, Tai Wang, Xuanzhuo Xu, Ziyu Guo, Yu Qiao, Peng Gao, Hongsheng Li
In this paper, we introduce a simple framework for Monocular DEtection with depth-aware TRansformer, named MonoDETR.
no code implementations • 19 Mar 2022 • Peng Chen, Zihan Yang, Zhimin Chen, Ziyu Guo
The direction of arrival (DOA) estimation problem is addressed in this letter.
2 code implementations • 4 Dec 2021 • Renrui Zhang, Ziyu Guo, Wei zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li
On top of that, we design an inter-view adapter to better extract the global feature and adaptively fuse the few-shot knowledge learned from 3D into CLIP pre-trained in 2D.
1 code implementation • 19 Nov 2021 • Renrui Zhang, Ziyao Zeng, Ziyu Guo, Xinben Gao, Kexue Fu, Jianbo Shi
We reverse the conventional design of applying convolution on voxels and attention to points.
Ranked #12 on
3D Part Segmentation
on ShapeNet-Part
no code implementations • 12 Oct 2021 • Huifeng Yao, Ziyu Guo, Yatao Zhang, Xiaomeng Li
This paper proposes a landmark detection network for detecting sutures in endoscopic pictures, which solves the problem of a variable number of suture points in the images.