Search Results for author: Ming Xu

Found 25 papers, 10 papers with code

Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion

no code implementations20 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.

Graph Learning Learning-To-Rank

Deep Declarative Dynamic Time Warping for End-to-End Learning of Alignment Paths

1 code implementation19 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.

Dynamic Time Warping Information Retrieval +3

Cognitive Semantic Communication Systems Driven by Knowledge Graph: Principle, Implementation, and Performance Evaluation

no code implementations15 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.

Data Compression

Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics

1 code implementation4 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.

Reinforcement Learning (RL)

3D Random Occlusion and Multi-Layer Projection for Deep Multi-Camera Pedestrian Localization

1 code implementation22 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.

Data Augmentation Pedestrian Detection

Improving Road Segmentation in Challenging Domains Using Similar Place Priors

no code implementations27 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.

Domain Adaptation Style Transfer +1

Mixed-UNet: Refined Class Activation Mapping for Weakly-Supervised Semantic Segmentation with Multi-scale Inference

no code implementations6 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.

Computed Tomography (CT) Image Segmentation +2

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

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.

Federated Learning Image Classification

Sharing Behavior in Ride-hailing Trips: A Machine Learning Inference Approach

no code implementations30 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.

BIG-bench Machine Learning

Interactive Model with Structural Loss for Language-based Abductive Reasoning

no code implementations1 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.

Language Modelling Natural Language Inference

Probabilistic Appearance-Invariant Topometric Localization with New Place Awareness

1 code implementation16 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.

Loop Closure Detection Visual Place Recognition

Probabilistic Visual Place Recognition for Hierarchical Localization

1 code implementation7 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.

Image Retrieval Retrieval +2

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition

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.

Visual Localization Visual Place Recognition

EPINE: Enhanced Proximity Information Network Embedding

no code implementations4 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.

Link Prediction Network Embedding +1

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

1 code implementation3 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.

Image Segmentation Medical Image Segmentation +1

Variance reduction properties of the reparameterization trick

no code implementations27 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.

Variational Inference

Discovery of Important Crossroads in Road Network using Massive Taxi Trajectories

no code implementations9 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.

Adaptive Mesh Representation and Restoration of Biomedical Images

no code implementations27 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.

Image Restoration

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