no code implementations • 20 May 2023 • Ming Xu, Jing Zhang
To address this issue, this paper proposes a graph learning-based node ranking method (MGL2Rank) that integrates the rich characteristics of the road network.
1 code implementation • 28 Mar 2023 • Ming Xu, Yunyi Ma, Ruimin Li, Geqi Qi, Xiangfu Meng, Haibo Jin
Therefore, their performance is unreliable for JIT decision making.
1 code implementation • 19 Mar 2023 • Ming Xu, Sourav Garg, Michael Milford, Stephen Gould
An interesting byproduct of this formulation is that DecDTW outputs the optimal warping path between two time series as opposed to a soft approximation, recoverable from Soft-DTW.
no code implementations • 15 Mar 2023 • Fuhui Zhou, Yihao Li, Ming Xu, Lu Yuan, Qihui Wu, Rose Qingyang Hu, Naofal Al-Dhahir
Extensive simulation results conducted on a public dataset demonstrate that our proposed single-user and multi-user cognitive semantic communication systems are superior to benchmark communication systems in terms of the data compression rate and communication reliability.
no code implementations • 8 Feb 2023 • Muhammad Hassan, Hao Zhang, Ahmed Fateh Ameen, Home Wu Zeng, Shuye Ma, Wen Liang, Dingqi Shang, Jiaming Ding, Ziheng Zhan, Tsz Kwan Lam, Ming Xu, Qiming Huang, Dongmei Wu, Can Yang Zhang, Zhou You, Awiwu Ain, Pei Wu Qin
Our proposed DL models, named FAG-Net and FGC-Net, correspondingly estimate biological traits (age and gender) and generates fundus images.
1 code implementation • 4 Nov 2022 • Krishan Rana, Ming Xu, Brendan Tidd, Michael Milford, Niko Sünderhauf
Furthermore, the downstream RL agent is limited to learning structurally similar tasks to those used to construct the skill space.
no code implementations • 31 Jul 2022 • Muhammad Hassan, Haifei Guan, Aikaterini Melliou, Yuqi Wang, Qianhui Sun, Sen Zeng, Wen Liang, Yiwei Zhang, Ziheng Zhang, Qiuyue Hu, Yang Liu, Shunkai Shi, Lin An, Shuyue Ma, Ijaz Gul, Muhammad Akmal Rahee, Zhou You, Canyang Zhang, Vijay Kumar Pandey, Yuxing Han, Yongbing Zhang, Ming Xu, Qiming Huang, Jiefu Tan, Qi Xing, Peiwu Qin, Dongmei Yu
Neural networks have been rapidly expanding in recent years, with novel strategies and applications.
1 code implementation • 22 Jul 2022 • Rui Qiu, Ming Xu, Yuyao Yan, Jeremy S. Smith, Xi Yang
Although deep-learning based methods for monocular pedestrian detection have made great progress, they are still vulnerable to heavy occlusions.
no code implementations • 28 Jun 2022 • Stephen Hausler, Ming Xu, Sourav Garg, Punarjay Chakravarty, Shubham Shrivastava, Ankit Vora, Michael Milford
6-DoF visual localization systems utilize principled approaches rooted in 3D geometry to perform accurate camera pose estimation of images to a map.
no code implementations • 27 May 2022 • Connor Malone, Sourav Garg, Ming Xu, Thierry Peynot, Michael Milford
These approaches share one or more of three significant limitations: a reliance on large amounts of annotated training data that can be costly to obtain, both anticipation of and training data from the type of environmental conditions expected at inference time, and/or imagery captured from a previous visit to the location.
no code implementations • 6 May 2022 • Yang Liu, Ersi Zhang, Lulu Xu, Chufan Xiao, Xiaoyun Zhong, Lijin Lian, Fang Li, Bin Jiang, Yuhan Dong, Lan Ma, Qiming Huang, Ming Xu, Yongbing Zhang, Dongmei Yu, Chenggang Yan, Peiwu Qin
Deep learning techniques have shown great potential in medical image processing, particularly through accurate and reliable image segmentation on magnetic resonance imaging (MRI) scans or computed tomography (CT) scans, which allow the localization and diagnosis of lesions.
1 code implementation • CVPR 2022 • Liang Gao, Huazhu Fu, Li Li, YingWen Chen, Ming Xu, Cheng-Zhong Xu
Federated learning (FL) allows multiple clients to collectively train a high-performance global model without sharing their private data.
no code implementations • 30 Jan 2022 • Morteza Taiebat, Elham Amini, Ming Xu
Using ensemble machine learning models, we find that the travel impedance variables (trip cost, distance, and duration) collectively contribute to 95% and 91% of the predictive power in determining whether a trip is requested to share and whether it is successfully shared, respectively.
no code implementations • 6 Dec 2021 • Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
We show that our method successfully alleviates the damage of both label noise and confirmation bias.
Ranked #2 on Image Classification on mini WebVision 1.0
no code implementations • 1 Dec 2021 • Linhao Li, Ming Xu, Yongfeng Dong, Xin Li, Ao Wang
Therefore, we propose to group instead of ranking the hypotheses and design a structural loss called ``joint softmax focal loss'' in this paper.
1 code implementation • 16 Jul 2021 • Ming Xu, Tobias Fischer, Niko Sünderhauf, Michael Milford
Probabilistic state-estimation approaches offer a principled foundation for designing localization systems, because they naturally integrate sequences of imperfect motion and exteroceptive sensor data.
1 code implementation • ACL 2021 • Hengyi Zheng, Rui Wen, Xi Chen, Yifan Yang, Yunyan Zhang, Ziheng Zhang, Ningyu Zhang, Bin Qin, Ming Xu, Yefeng Zheng
Joint extraction of entities and relations from unstructured texts is a crucial task in information extraction.
1 code implementation • 7 May 2021 • Ming Xu, Niko Sünderhauf, Michael Milford
In this letter, we propose two methods which adapt image retrieval techniques used for visual place recognition to the Bayesian state estimation formulation for localization.
3 code implementations • CVPR 2021 • Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer
Visual Place Recognition is a challenging task for robotics and autonomous systems, which must deal with the twin problems of appearance and viewpoint change in an always changing world.
Ranked #1 on Visual Localization on RobotCar Seasons v2
no code implementations • 13 May 2020 • Forrest Sheng Bao, Youbiao He, Jie Liu, Yuanfang Chen, Qian Li, Christina R. Zhang, Lei Han, Baoli Zhu, Yaorong Ge, Shi Chen, Ming Xu, Liu Ouyang
The COVID-19 is sweeping the world with deadly consequences.
no code implementations • 4 Mar 2020 • Luoyi Zhang, Ming Xu
Unsupervised homogeneous network embedding (NE) represents every vertex of networks into a low-dimensional vector and meanwhile preserves the network information.
1 code implementation • 3 Jul 2019 • Yi Wang, Haoran Dou, Xiao-Wei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni
Our attention module utilizes the attention mechanism to selectively leverage the multilevel features integrated from different layers to refine the features at each individual layer, suppressing the non-prostate noise at shallow layers of the CNN and increasing more prostate details into features at deep layers.
no code implementations • 27 Sep 2018 • Ming Xu, Matias Quiroz, Robert Kohn, Scott A. Sisson
From this, we show that the marginal variances of the reparameterization gradient estimator are smaller than those of the score function gradient estimator.
no code implementations • 9 Jul 2014 • Ming Xu, Jianping Wu, Yiman Du, Haohan Wang, Geqi Qi, Kezhen Hu, Yun-Peng Xiao
However, none of existing approaches addresses the problem of identifying network-wide important crossroads in real road network.
no code implementations • 27 Jun 2014 • Ke Liu, Ming Xu, Zeyun Yu
The triangulation of images has become an active research area in recent years for its compressive representation and ease of image processing and visualization.