1 code implementation • 8 Nov 2023 • Feng Xie, Xin Song, Xiang Zeng, Xuechen Zhao, Lei Tian, Bin Zhou, Yusong Tan
More importantly, in pseudo mapping learning, we propose a bi-directional voting (BDV) strategy that fuses the alignment decisions in different directions to estimate the uncertainty via the joint matching confidence score.
no code implementations • 28 Sep 2023 • Xiaogang Jia, Songlei Jian, Yusong Tan, Yonggang Che, Wei Chen, Zhengfa Liang
With a simple yet efficient gating mechanism, our proposed method achieves fast and accurate depth completion without the need for additional branches or post-processing steps.
no code implementations • 4 Jun 2023 • Yulin He, Wei Chen, Yusong Tan, Siqi Wang
Open World Object Detection (OWOD) is a novel and challenging computer vision task that enables object detection with the ability to detect unknown objects.
1 code implementation • 28 Apr 2023 • Feng Xie, Xiang Zeng, Bin Zhou, Yusong Tan
Entity alignment (EA) which links equivalent entities across different knowledge graphs (KGs) plays a crucial role in knowledge fusion.
no code implementations • 6 Mar 2023 • Yulin He, Wei Chen, Ke Liang, Yusong Tan, Zhengfa Liang, Yulan Guo
Our proposed method, Pseudo-label Correction and Learning (PCL), is extensively evaluated on the MS COCO and PASCAL VOC benchmarks.
1 code implementation • 10 Sep 2022 • Feng Xie, Zhong Zhang, Xuechen Zhao, Haiyang Wang, Jiaying Zou, Lei Tian, Bin Zhou, Yusong Tan
The ongoing COVID-19 pandemic has caused immeasurable losses for people worldwide.
1 code implementation • 23 Aug 2022 • Feng Xie, Zhong Zhang, Liang Li, Bin Zhou, Yusong Tan
Epidemic forecasting is the key to effective control of epidemic transmission and helps the world mitigate the crisis that threatens public health.
1 code implementation • 23 Aug 2022 • Feng Xie, Zhong Zhang, Xuechen Zhao, Bin Zhou, Yusong Tan
In Inter-Series Embedding Module, a multi-scale unified convolution component called Region-Aware Convolution is proposed, which cooperates with self-attention to capture dynamic dependencies between time series obtained from multiple regions.
no code implementations • 23 Jun 2021 • Xin Luo, Wei Chen, Yusong Tan, Chen Li, Yulin He, Xiaogang Jia
It is desirable to transfer the knowledge stored in a well-trained source model onto non-annotated target domain in the absence of source data.
no code implementations • 3 Feb 2021 • Xiaogang Jia, Wei Chen, Zhengfa Liang, Mingfei Wu, Yusong Tan, Libo Huang
This is because different cost volumes play a crucial role in balancing speed and accuracy.
no code implementations • COLING 2020 • Bin Ji, Jie Yu, Shasha Li, Jun Ma, Qingbo Wu, Yusong Tan, Huijun Liu
Span-based joint extraction models have shown their efficiency on entity recognition and relation extraction.
no code implementations • ICLR 2019 • Robert M. Taylor, Yusong Tan
We introduce a novel geometric perspective and unsupervised model augmentation framework for transforming traditional deep (convolutional) neural networks into adversarially robust classifiers.