no code implementations • 16 Mar 2024 • Junyang Wu, Yun Gu, Guang-Zhong Yang
In this work, an efficient neural style transfer framework for endoscopic visual odometry is proposed, which compresses the time from pre-operative planning to testing phase to less than five minutes.
no code implementations • 14 Sep 2023 • Junyang Wu, Yun Gu
In this study, we conduct a detail analysis of the properties of endoscopic images and improve the compatibility of images and neural networks, to unleash the power of current neural networks.
no code implementations • 5 Jul 2023 • Jiaqi Wang, Tianyi Li, Anni Wang, Xiaoze Liu, Lu Chen, Jie Chen, Jianye Liu, Junyang Wu, Feifei Li, Yunjun Gao
This has led to the increasing volume of database workloads, which provides the opportunity for pattern analysis.
1 code implementation • 14 Apr 2023 • Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao, Ziheng Wei
To enhance the usability of GNN-based EA models in real-world applications, we present SEA, a scalable entity alignment system that enables to (i) train large-scale GNNs for EA, (ii) speed up the normalization and the evaluation process, and (iii) report clear results for users to estimate different models and parameter settings.
1 code implementation • 1 Feb 2023 • Xiaoze Liu, Junyang Wu, Tianyi Li, Lu Chen, Yunjun Gao
State-of-the-art time-aware EA studies have suggested that the temporal information of TKGs facilitates the performance of EA.
Ranked #1 on Entity Alignment on YAGO-WIKI50K
1 code implementation • 20 Dec 2022 • Junyang Wu, Xianhang Li, Chen Wei, Huiyu Wang, Alan Yuille, Yuyin Zhou, Cihang Xie
This paper presents a simple and effective visual prompting method for adapting pre-trained models to downstream recognition tasks.
2 code implementations • 20 May 2022 • Yunjun Gao, Xiaoze Liu, Junyang Wu, Tianyi Li, Pengfei Wang, Lu Chen
To tackle this challenge, we present ClusterEA, a general framework that is capable of scaling up EA models and enhancing their results by leveraging normalization methods on mini-batches with a high entity equivalent rate.
Ranked #2 on Entity Alignment on DBP1M DE-EN