1 code implementation • 17 Oct 2023 • Shuo Wang, Yan Zhu, Xiaoyuan Luo, Zhiwei Yang, Yizhe Zhang, Peiyao Fu, Manning Wang, Zhijian Song, QuanLin Li, Pinghong Zhou, Yike Guo
EndoKED automates the transformation of raw colonoscopy records into image datasets with pixel-level annotation.
no code implementations • 5 Jul 2023 • Linhao Qu, Yingfan Ma, Xiaoyuan Luo, Manning Wang, Zhijian Song
In this paper, we propose an instance-level MIL framework based on contrastive learning and prototype learning to effectively accomplish both instance classification and bag classification tasks.
1 code implementation • NeurIPS 2023 • Linhao Qu, Xiaoyuan Luo, Kexue Fu, Manning Wang, Zhijian Song
Our approach incorporates the utilization of GPT-4 in a question-and-answer mode to obtain language prior knowledge at both the instance and bag levels, which are then integrated into the instance and bag level language prompts.
1 code implementation • 9 Nov 2022 • Kexue Fu, Jiazheng Luo, Xiaoyuan Luo, Shaolei Liu, Chenxi Zhang, Manning Wang
In this paper, we propose a novel deep graph matching-based framework for point cloud registration.
1 code implementation • 7 Oct 2022 • Linhao Qu, Xiaoyuan Luo, Manning Wang, Zhijian Song
Specifically, an attention-based bag classifier is used as the teacher network, which is trained with weak bag labels, and an instance classifier is used as the student network, which is trained using the normalized attention scores obtained from the teacher network as soft pseudo labels for the instances in positive bags.
1 code implementation • 17 Jun 2022 • Linhao Qu, Xiaoyuan Luo, Shaolei Liu, Manning Wang, Zhijian Song
Multiple Instance Learning (MIL) is widely used in analyzing histopathological Whole Slide Images (WSIs).
2 code implementations • 22 Dec 2021 • Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez-Fernández, Qinlong Wang, Yang Yang
Based on the MVP dataset, this paper reports methods and results in the Multi-View Partial Point Cloud Challenge 2021 on Completion and Registration.
no code implementations • 12 Apr 2021 • Xiaoyuan Luo, Shaolei Liu, Kexue Fu, Manning Wang, Zhijian Song
In the UDA architecture, an encoder is shared between the networks for the self-supervised task and the main task of point cloud classification or segmentation, so that the encoder can be trained to extract features suitable for both the source and the target domain data.
2 code implementations • CVPR 2021 • Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang
In this paper, we propose a novel deep graph matchingbased framework for point cloud registration.