b'Jie Luo'

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Featured Co-authors

Masashi Sugiyama
206 publications
Jiawei Han
129 publications
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114 publications
Yefeng Zheng
106 publications
Kai Ma
60 publications
Honggang Zhang
53 publications
Zhe Xu
53 publications
Xianglong Liu
51 publications
Polina Golland
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Lequan Yu
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Carl Yang
45 publications

research

∙ 03/22/2023

A Comparative Study of Brain Reproduction Methods for Morphologically Evolving Robots

In the most extensive robot evolution systems, both the bodies and the b...

0 Jie Luo, et al. ∙

research

∙ 03/22/2022

Environment induced emergence of collective behaviour in evolving swarms with limited sensing

Designing controllers for robot swarms is challenging, because human dev...

0 Fuda van Diggelen, et al. ∙

research

∙ 03/21/2022

Delving into the Estimation Shift of Batch Normalization in a Network

Batch normalization (BN) is a milestone technique in deep learning. It n...

0 Lei Huang, et al. ∙

research

∙ 12/19/2021

GPU optimization of the 3D Scale-invariant Feature Transform Algorithm and a Novel BRIEF-inspired 3D Fast Descriptor

This work details a highly efficient implementation of the 3D scale-inva...

27 Jean-Baptiste Carluer, et al. ∙

research

∙ 10/27/2021

Rot-Pro: Modeling Transitivity by Projection in Knowledge Graph Embedding

Knowledge graph embedding models learn the representations of entities a...

0 Tengwei Song, et al. ∙

research

∙ 09/28/2021

All-Around Real Label Supervision: Cyclic Prototype Consistency Learning for Semi-supervised Medical Image Segmentation

Semi-supervised learning has substantially advanced medical image segmen...

1 Zhe Xu, et al. ∙

research

∙ 07/17/2021

The Effects of Learning in Morphologically Evolving Robot Systems

When controllers (brains) and morphologies (bodies) of robots simultaneo...

0 Jie Luo, et al. ∙

research

∙ 07/06/2021

Double-Uncertainty Assisted Spatial and Temporal Regularization Weighting for Learning-based Registration

In order to tackle the difficulty associated with the ill-posed nature o...

0 Zhe Xu, et al. ∙

research

∙ 06/03/2021

Noisy Labels are Treasure: Mean-Teacher-Assisted Confident Learning for Hepatic Vessel Segmentation

Manually segmenting the hepatic vessels from Computer Tomography (CT) is...

4 Zhe Xu, et al. ∙

research

∙ 11/12/2020

Unsupervised Multimodal Image Registration with Adaptative Gradient Guidance

Multimodal image registration (MIR) is a fundamental procedure in many i...

0 Zhe Xu, et al. ∙

research

∙ 11/12/2020

Unimodal Cyclic Regularization for Training Multimodal Image Registration Networks

The loss function of an unsupervised multimodal image registration frame...

0 Zhe Xu, et al. ∙

research

∙ 09/15/2020

F3RNet: Full-Resolution Residual Registration Network for Multimodal Image Registration

Multimodal deformable image registration is essential for many image-gui...

0 Zhe Xu, et al. ∙

research

∙ 07/06/2020

Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration

Deformable image registration between Computed Tomography (CT) images an...

0 Zhe Xu, et al. ∙

research

∙ 03/20/2020

Do Public Datasets Assure Unbiased Comparisons for Registration Evaluation?

With the increasing availability of new image registration approaches, a...

0 Jie Luo, et al. ∙

research

∙ 02/01/2020

Unbiased Scene Graph Generation via Rich and Fair Semantic Extraction

Extracting graph representation of visual scenes in image is a challengi...

11 Bin Wen, et al. ∙

research

∙ 09/29/2019

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

As online platforms are striving to get more users, a critical challenge...

0 Carl Yang, et al. ∙

research

∙ 08/21/2019

Pilot Study on Verifying the Monotonic Relationship between Error and Uncertainty in Deformable Registration for Neurosurgery

In image-guided neurosurgery, deformable registration currently is not a...

0 Jie Luo, et al. ∙

research

∙ 03/06/2019

Temporal Registration in Application to In-utero MRI Time Series

We present a robust method to correct for motion in volumetric in-utero ...

0 Ruizhi Liao, et al. ∙

research

∙ 02/03/2019

UAV-aided urban target tracking system based on edge computing

Target tracking is an important issue of social security. In order to tr...

0 Yajun Liu, et al. ∙

research

∙ 12/31/2018

Deep Information Theoretic Registration

This paper establishes an information theoretic framework for deep metri...

0 Alireza Sedghi, et al. ∙

research

∙ 11/28/2018

Deep learning based automatic segmentation of lumbosacral nerves on non-contrast CT for radiographic evaluation: a pilot study

Background and objective: Combined evaluation of lumbosacral structures ...

0 Guoxin Fan, et al. ∙

research

∙ 05/08/2018

Distributed Multiple Access with Multiple Transmission Options at The Link Layer

This paper investigates the problem of distributed medium access control...

0 Faeze Heydaryan, et al. ∙

research

∙ 05/07/2018

Distributed Capacity of A Multiple Access Channel

In distributed communication, each transmitter prepares an ensemble of c...

0 Yanru Tang, et al. ∙

research

∙ 04/04/2018

Semi-Supervised Deep Metrics for Image Registration

Deep metrics have been shown effective as similarity measures in multi-m...

0 Alireza Sedghi, et al. ∙

research

∙ 03/20/2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation

A reliable Ultrasound (US)-to-US registration method to compensate for b...

0 Jie Luo, et al. ∙

research

∙ 03/14/2018

On the Ambiguity of Registration Uncertainty

Estimating the uncertainty in image registration is an area of current r...

0 Jie Luo, et al. ∙

research

∙ 01/19/2018

mvn2vec: Preservation and Collaboration in Multi-View Network Embedding

Multi-view networks are ubiquitous in real-world applications. In order ...

0 Yu Shi, et al. ∙

research

∙ 08/12/2016

Temporal Registration in In-Utero Volumetric MRI Time Series

We present a robust method to correct for motion and deformations for in...

0 Ruizhi Liao, et al. ∙

research

∙ 04/07/2016

Reinterpreting the Transformation Posterior in Probabilistic Image Registration

Probabilistic image registration methods estimate the posterior distribu...

0 Jie Luo, et al. ∙