Search Results for author: Xiaohui Xie

Found 46 papers, 19 papers with code

Evaluating Extrapolation Performance of Dense Retrieval

1 code implementation25 Apr 2022 Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Min Zhang, Shaoping Ma

Therefore, to evaluate the extrapolation performance of DR models, we propose two resampling strategies for existing retrieval benchmarks and comprehensively investigate how DR models perform.

Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow

1 code implementation16 Mar 2022 Shanlin Sun, Kun Han, Deying Kong, Hao Tang, Xiangyi Yan, Xiaohui Xie

Recently DIFs-based methods have been proposed to handle shape reconstruction and dense point correspondences simultaneously, capturing semantic relationships across shapes of the same class by learning a DIFs-modeled shape template.

Template Matching

Diffeomorphic Image Registration with Neural Velocity Field

no code implementations25 Feb 2022 Kun Han, Shanlin Sun, Hao Tang, Deying Kong, Xiangyi Yan, Xiaohui Xie

In this paper, we propose a neural representation of continuous velocity field (NeVF) to describe the deformations across two images.

Image Registration

Pre-training Methods in Information Retrieval

no code implementations27 Nov 2021 Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo

The core of information retrieval (IR) is to identify relevant information from large-scale resources and return it as a ranked list to respond to the user's information need.

Information Retrieval Re-Ranking

AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation

no code implementations20 Oct 2021 Xiangyi Yan, Hao Tang, Shanlin Sun, Haoyu Ma, Deying Kong, Xiaohui Xie

One has to either downsample the image or use cropped local patches to reduce GPU memory usage, which limits its performance.

Medical Image Segmentation Semantic Segmentation

TransFusion: Cross-view Fusion with Transformer for 3D Human Pose Estimation

1 code implementation18 Oct 2021 Haoyu Ma, Liangjian Chen, Deying Kong, Zhe Wang, Xingwei Liu, Hao Tang, Xiangyi Yan, Yusheng Xie, Shih-Yao Lin, Xiaohui Xie

The 3D position encoding guided by the epipolar field provides an efficient way of encoding correspondences between pixels of different views.

3D Human Pose Estimation 3D Pose Estimation

Web Search via an Efficient and Effective Brain-Machine Interface

no code implementations14 Oct 2021 Xuesong Chen, Ziyi Ye, Xiaohui Xie, Yiqun Liu, Weihang Su, Shuqi Zhu, Min Zhang, Shaoping Ma

While search technologies have evolved to be robust and ubiquitous, the fundamental interaction paradigm has remained relatively stable for decades.

EEG

Stingy Teacher: Sparse Logits Suffice to Fail Knowledge Distillation

no code implementations29 Sep 2021 Haoyu Ma, Yifan Huang, Tianlong Chen, Hao Tang, Chenyu You, Zhangyang Wang, Xiaohui Xie

However, it is unclear why the distorted distribution of the logits is catastrophic to the student model.

Knowledge Distillation

Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search

no code implementations22 Sep 2021 Ziyi Ye, Xiaohui Xie, Yiqun Liu, Zhihong Wang, Xuancheng Li, Jiaji Li, Xuesong Chen, Min Zhang, Shaoping Ma

Inspired by these findings, we conduct supervised learning tasks to estimate the usefulness of non-click results with brain signals and conventional information (i. e., content and context factors).

EEG

Recurrent Mask Refinement for Few-Shot Medical Image Segmentation

1 code implementation ICCV 2021 Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie

Although having achieved great success in medical image segmentation, deep convolutional neural networks usually require a large dataset with manual annotations for training and are difficult to generalize to unseen classes.

Few-Shot Learning Medical Image Segmentation +1

Undistillable: Making A Nasty Teacher That CANNOT teach students

1 code implementation ICLR 2021 Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang

Knowledge Distillation (KD) is a widely used technique to transfer knowledge from pre-trained teacher models to (usually more lightweight) student models.

Knowledge Distillation

Test-Time Training for Deformable Multi-Scale Image Registration

no code implementations25 Mar 2021 Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie

Registration is a fundamental task in medical robotics and is often a crucial step for many downstream tasks such as motion analysis, intra-operative tracking and image segmentation.

Image Registration Semantic Segmentation

Spatial Context-Aware Self-Attention Model For Multi-Organ Segmentation

no code implementations16 Dec 2020 Hao Tang, Xingwei Liu, Kun Han, Shanlin Sun, Narisu Bai, Xuming Chen, Huang Qian, Yong liu, Xiaohui Xie

State-of-the-art CNN segmentation models apply either 2D or 3D convolutions on input images, with pros and cons associated with each method: 2D convolution is fast, less memory-intensive but inadequate for extracting 3D contextual information from volumetric images, while the opposite is true for 3D convolution.

Semantic Segmentation

DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation

no code implementations6 Dec 2020 Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Wei Fan, Xiaohui Xie

Estimating3D hand poses from RGB images is essentialto a wide range of potential applications, but is challengingowing to substantial ambiguity in the inference of depth in-formation from RGB images.

3D Hand Pose Estimation

Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos

no code implementations6 Dec 2020 Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie

Experiments show that our modelachieves surprisingly good results, with 3D estimation ac-curacy on par with the state-of-the-art models trained with3D annotations, highlighting the benefit of the temporalconsistency in constraining 3D prediction models.

Pose Estimation Self-Supervised Learning

MVHM: A Large-Scale Multi-View Hand Mesh Benchmark for Accurate 3D Hand Pose Estimation

no code implementations6 Dec 2020 Liangjian Chen, Shih-Yao Lin, Yusheng Xie, Yen-Yu Lin, Xiaohui Xie

Based on the match algorithm, we propose an efficient pipeline to generate a large-scale multi-view hand mesh (MVHM) dataset with accurate 3D hand mesh and joint labels.

3D Hand Pose Estimation

SIA-GCN: A Spatial Information Aware Graph Neural Network with 2D Convolutions for Hand Pose Estimation

no code implementations25 Sep 2020 Deying Kong, Haoyu Ma, Xiaohui Xie

In this paper, we extend GNNs along two directions: a) allowing features at each node to be represented by 2D spatial confidence maps instead of 1D vectors; and b) proposing an efficient operation to integrate information from neighboring nodes through 2D convolutions with different learnable kernels at each edge.

Frame Hand Pose Estimation

Rotation-invariant Mixed Graphical Model Network for 2D Hand Pose Estimation

no code implementations5 Feb 2020 Deying Kong, Haoyu Ma, Yifei Chen, Xiaohui Xie

In this paper, we propose a new architecture named Rotation-invariant Mixed Graphical Model Network (R-MGMN) to solve the problem of 2D hand pose estimation from a monocular RGB image.

Hand Pose Estimation

Nonparametric Structure Regularization Machine for 2D Hand Pose Estimation

1 code implementation24 Jan 2020 Yifei Chen, Haoyu Ma, Deying Kong, Xiangyi Yan, Jianbao Wu, Wei Fan, Xiaohui Xie

We propose a novel Nonparametric Structure Regularization Machine (NSRM) for 2D hand pose estimation, adopting a cascade multi-task architecture to learn hand structure and keypoint representations jointly.

Hand Pose Estimation

A Combined Deep Learning-Gradient Boosting Machine Framework for Fluid Intelligence Prediction

no code implementations16 Oct 2019 Yeeleng S. Vang, Yingxin Cao, Xiaohui Xie

The ABCD Neurocognitive Prediction Challenge is a community driven competition asking competitors to develop algorithms to predict fluid intelligence score from T1-w MRIs.

Adaptive Graphical Model Network for 2D Handpose Estimation

no code implementations18 Sep 2019 Deying Kong, Yifei Chen, Haoyu Ma, Xiangyi Yan, Xiaohui Xie

In this paper, we propose a new architecture called Adaptive Graphical Model Network (AGMN) to tackle the task of 2D hand pose estimation from a monocular RGB image.

Hand Pose Estimation

NoduleNet: Decoupled False Positive Reductionfor Pulmonary Nodule Detection and Segmentation

1 code implementation25 Jul 2019 Hao Tang, Chupeng Zhang, Xiaohui Xie

Pulmonary nodule detection, false positive reduction and segmentation represent three of the most common tasks in the computeraided analysis of chest CT images.

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking

no code implementations18 Jun 2019 Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie

In this work, we propose a neural multi-scale self-supervised registration (NMSR) method for automated myocardial and cardiac blood flow dense tracking.

Automatic Pulmonary Lobe Segmentation Using Deep Learning

1 code implementation23 Mar 2019 Hao Tang, Chupeng Zhang, Xiaohui Xie

To validate the robustness and performance of our proposed framework trained with a small number of training examples, we further tested our model on CT scans from an independent dataset.

Computed Tomography (CT)

Automated pulmonary nodule detection using 3D deep convolutional neural networks

no code implementations23 Mar 2019 Hao Tang, Daniel R. Kim, Xiaohui Xie

Finally, we introduce a method to ensemble models from both stages via consensus to give the final predictions.

Computed Tomography (CT) Object Detection

An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction

no code implementations23 Mar 2019 Hao Tang, Xingwei Liu, Xiaohui Xie

Most of the existing deep learning nodule detection systems are constructed in two steps: a) nodule candidates screening and b) false positive reduction, using two different models trained separately.

Computed Tomography (CT)

Parallel Clustering of Single Cell Transcriptomic Data with Split-Merge Sampling on Dirichlet Process Mixtures

1 code implementation25 Dec 2018 Tiehang Duan, José P. Pinto, Xiaohui Xie

Motivation: With the development of droplet based systems, massive single cell transcriptome data has become available, which enables analysis of cellular and molecular processes at single cell resolution and is instrumental to understanding many biological processes.

Sequential Embedding Induced Text Clustering, a Non-parametric Bayesian Approach

no code implementations29 Nov 2018 Tiehang Duan, Qi Lou, Sargur N. Srihari, Xiaohui Xie

In this paper, the documents are modeled as the joint of bags of words, sequential features and word embeddings.

Text Clustering Word Embeddings

AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy

2 code implementations15 Aug 2018 Wentao Zhu, Yufang Huang, Liang Zeng, Xuming Chen, Yong liu, Zhen Qian, Nan Du, Wei Fan, Xiaohui Xie

Methods: Our deep learning model, called AnatomyNet, segments OARs from head and neck CT images in an end-to-end fashion, receiving whole-volume HaN CT images as input and generating masks of all OARs of interest in one shot.

3D Medical Imaging Segmentation

Content-based Video Relevance Prediction Challenge: Data, Protocol, and Baseline

2 code implementations3 Jun 2018 Mengyi Liu, Xiaohui Xie, Hanning Zhou

Video relevance prediction is one of the most important tasks for online streaming service.

Frame

Deep Learning Framework for Multi-class Breast Cancer Histology Image Classification

no code implementations3 Feb 2018 Yeeleng S. Vang, Zhen Chen, Xiaohui Xie

In this work, we present a deep learning framework for multi-class breast cancer image classification as our submission to the International Conference on Image Analysis and Recognition (ICIAR) 2018 Grand Challenge on BreAst Cancer Histology images (BACH).

Breast Cancer Histology Image Classification General Classification +1

DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

1 code implementation25 Jan 2018 Wentao Zhu, Chaochun Liu, Wei Fan, Xiaohui Xie

DeepLung consists of two components, nodule detection (identifying the locations of candidate nodules) and classification (classifying candidate nodules into benign or malignant).

Classification Computed Tomography (CT) +2

Structured Triplet Learning with POS-tag Guided Attention for Visual Question Answering

1 code implementation24 Jan 2018 Zhe Wang, Xiaoyi Liu, Liangjian Chen, Li-Min Wang, Yu Qiao, Xiaohui Xie, Charless Fowlkes

Visual question answering (VQA) is of significant interest due to its potential to be a strong test of image understanding systems and to probe the connection between language and vision.

Multiple-choice POS +4

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

1 code implementation23 May 2017 Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie

Inspired by the success of using deep convolutional features for natural image analysis and multi-instance learning (MIL) for labeling a set of instances/patches, we propose end-to-end trained deep multi-instance networks for mass classification based on whole mammogram without the aforementioned ROIs.

Classification General Classification +1

HLA class I binding prediction via convolutional neural networks

1 code implementation3 Jan 2017 Yeeleng Scott Vang, Xiaohui Xie

We then propose a deep convolutional neural network architecture, name HLA-CNN, for the task of HLA class I-peptide binding prediction.

Adversarial Deep Structural Networks for Mammographic Mass Segmentation

1 code implementation18 Dec 2016 Wentao Zhu, Xiang Xiang, Trac. D. Tran, Xiaohui Xie

Experimental results on two public datasets, INbreast and DDSM-BCRP, show that our end-to-end network combined with adversarial training achieves the-state-of-the-art results.

Deep Multi-instance Networks with Sparse Label Assignment for Whole Mammogram Classification

no code implementations18 Dec 2016 Wentao Zhu, Qi Lou, Yeeleng Scott Vang, Xiaohui Xie

Inspired by the success of using deep convolutional features for natural image analysis and multi-instance learning for labeling a set of instances/patches, we propose end-to-end trained deep multi-instance networks for mass classification based on whole mammogram without the aforementioned costly need to annotate the training data.

Classification General Classification +1

Co-occurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks

no code implementations24 Mar 2016 Wentao Zhu, Cuiling Lan, Junliang Xing, Wen-Jun Zeng, Yanghao Li, Li Shen, Xiaohui Xie

Skeleton based action recognition distinguishes human actions using the trajectories of skeleton joints, which provide a very good representation for describing actions.

Action Recognition Skeleton Based Action Recognition

Inference in Kingman's Coalescent with Particle Markov Chain Monte Carlo Method

no code implementations3 May 2013 Yifei Chen, Xiaohui Xie

We propose a new algorithm to do posterior sampling of Kingman's coalescent, based upon the Particle Markov Chain Monte Carlo methodology.

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