b'Chen Chen'

HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology

Thanks to the rapid development of CNNs and depth sensors, great progres...
11/12/2019 ∙ by Weiguo Zhou, et al. ∙ 0 ∙ share

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Deep learning for cardiac image segmentation: A review

Deep learning has become the most widely used approach for cardiac image...
11/09/2019 ∙ by Chen Chen, et al. ∙ 95 ∙ share

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Multilingual Dialogue Generation with Shared-Private Memory

Existing dialog systems are all monolingual, where features shared among...
10/06/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs

Paraphrases are important linguistic resources for a wide variety of NLP...
10/01/2019 ∙ by Danni Ma, et al. ∙ 0 ∙ share

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A closer look at network resolution for efficient network design

There is growing interest in designing lightweight neural networks for m...
09/27/2019 ∙ by Taojiannan Yang, et al. ∙ 0 ∙ share

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Visual Explanation for Deep Metric Learning

This work explores the visual explanation for deep metric learning and i...
09/27/2019 ∙ by Sijie Zhu, et al. ∙ 51 ∙ share

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Pose Estimation for Texture-less Shiny Objects in a Single RGB Image Using Synthetic Training Data

In the industrial domain, the pose estimation of multiple texture-less s...
09/23/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization

In this paper we consider the problem of minimizing composite objective ...
09/18/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Renyi Differentially Private ADMM Based L1 Regularized Classification

In this paper we present two new algorithms, to solve the L1 regularized...
09/18/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

In this work, we present a fully automatic method to segment cardiac str...
08/20/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Learning Shape Priors for Robust Cardiac MR Segmentation from Multi-view Images

Cardiac MR image segmentation is essential for the morphological and fun...
07/23/2019 ∙ by Chen Chen, et al. ∙ 5 ∙ share

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An Efficient 3D CNN for Action/Object Segmentation in Video

Convolutional Neural Network (CNN) based image segmentation has made gre...
07/21/2019 ∙ by Rui Hou, et al. ∙ 7 ∙ share

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Jo: The Smart Journal

We introduce Jo, a mobile application that attempts to improve user's we...
07/18/2019 ∙ by Vivian Li, et al. ∙ 0 ∙ share

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Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

In the recent years, convolutional neural networks have transformed the ...
07/05/2019 ∙ by Wenjia Bai, et al. ∙ 6 ∙ share

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Critical Edge Identification: A K-Truss Based Model

In a social network, the strength of relationships between users can sig...
06/27/2019 ∙ by Wenjie Zhu, et al. ∙ 0 ∙ share

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K-Core Maximization through Edge Additions

A popular model to measure the stability of a network is k-core - the ma...
06/27/2019 ∙ by Zhongxin Zhou, et al. ∙ 0 ∙ share

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GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network

The task of cross-view image geo-localization aims to determine the geo-...
04/12/2019 ∙ by Bin Sun, et al. ∙ 0 ∙ share

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3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI

Brain tumor segmentation plays a pivotal role in medical image processin...
04/06/2019 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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GPMatch: A Bayesian Doubly Robust Approach to Causal Inference with Gaussian Process Covariance Function As a Matching Tool

Gaussian process (GP) covariance function is proposed as a matching tool...
01/29/2019 ∙ by Bin Huang, et al. ∙ 0 ∙ share

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New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks

Understanding dependence structure among extreme values plays an importa...
01/23/2019 ∙ by Whitney K. Huang, et al. ∙ 0 ∙ share

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Border Effect of Complex Network: An analysis on the cooperation network of movie stars across different regions

People always carry out social activities within certain geographic spac...
12/23/2018 ∙ by Wen Zhou, et al. ∙ 0 ∙ share

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Movies Network as the Indicator of Globalization

The main research involving globalization nowadays is to describe the im...
12/23/2018 ∙ by Zilu Yu, et al. ∙ 0 ∙ share

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Rain Removal By Image Quasi-Sparsity Priors

Rain streaks will inevitably be captured by some outdoor vision systems,...
12/20/2018 ∙ by Yinglong Wang, et al. ∙ 8 ∙ share

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DropPruning for Model Compression

Deep neural networks (DNNs) have dramatically achieved great success on ...
12/05/2018 ∙ by Haipeng Jia, et al. ∙ 0 ∙ share

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MGANet: A Robust Model for Quality Enhancement of Compressed Video

In video compression, most of the existing deep learning approaches conc...
11/22/2018 ∙ by Xiandong Meng, et al. ∙ 0 ∙ share

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Multi-Task Learning for Left Atrial Segmentation on GE-MRI

Segmentation of the left atrium (LA) is crucial for assessing its anatom...
10/31/2018 ∙ by Chen Chen, et al. ∙ 4 ∙ share

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Hyperspectral Image Classification in the Presence of Noisy Labels

Label information plays an important role in supervised hyperspectral im...
09/12/2018 ∙ by Junjun Jiang, et al. ∙ 8 ∙ share

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SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

As an unsupervised dimensionality reduction method, principal component ...
06/26/2018 ∙ by Junjun Jiang, et al. ∙ 0 ∙ share

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Fast Distributed Deep Learning via Worker-adaptive Batch Sizing

Deep neural network models are usually trained in cluster environments, ...
06/07/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Key Person Aided Re-identification in Partially Ordered Pedestrian Set

Ideally person re-identification seeks for perfect feature representatio...
05/25/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Improving Image Captioning with Conditional Generative Adversarial Nets

In this paper, we propose a novel conditional generative adversarial net...
05/18/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Learning to See in the Dark

Imaging in low light is challenging due to low photon count and low SNR....
05/04/2018 ∙ by Chen Chen, et al. ∙ 2 ∙ share

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Memory Attention Networks for Skeleton-based Action Recognition

Skeleton-based action recognition task is entangled with complex spatio-...
04/23/2018 ∙ by Chunyu Xie, et al. ∙ 0 ∙ share

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One-Two-One Networks for Compression Artifacts Reduction in Remote Sensing

Compression artifacts reduction (CAR) is a challenging problem in the fi...
04/01/2018 ∙ by Baochang Zhang, et al. ∙ 0 ∙ share

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TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

Modern low-latency anonymity systems, no matter whether constructed as a...
02/23/2018 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Real-world Anomaly Detection in Surveillance Videos

Surveillance videos are able to capture a variety of realistic anomalies...
01/12/2018 ∙ by Waqas Sultani, et al. ∙ 0 ∙ share

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Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions

3D action recognition has broad applications in human-computer interacti...
12/04/2017 ∙ by Mengyuan Liu, et al. ∙ 0 ∙ share

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An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos

In this paper, we propose an end-to-end 3D CNN for action detection and ...
11/30/2017 ∙ by Rui Hou, et al. ∙ 0 ∙ share

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Latent Constrained Correlation Filter

Correlation filters are special classifiers designed for shift-invariant...
11/11/2017 ∙ by Baochang Zhang, et al. ∙ 0 ∙ share

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Multi-modal Aggregation for Video Classification

In this paper, we present a solution to Large-Scale Video Classification...
10/27/2017 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Manifold Constrained Low-Rank Decomposition

Low-rank decomposition (LRD) is a state-of-the-art method for visual dat...
08/06/2017 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Fast Modeling Methods for Complex System with Separable Features

Data-driven modeling plays an increasingly important role in different a...
08/05/2017 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Gesture recognition is a challenging problem in the field of biometrics....
07/12/2017 ∙ by Chunyu Xie, et al. ∙ 0 ∙ share

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A divide and conquer method for symbolic regression

Symbolic regression aims to find a function that best explains the relat...
05/23/2017 ∙ by Changtong Luo, et al. ∙ 0 ∙ share

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Block building programming for symbolic regression

Symbolic regression that aims to detect underlying data-driven models ha...
05/22/2017 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Deep Spatio-temporal Manifold Network for Action Recognition

Visual data such as videos are often sampled from complex manifold. We p...
05/09/2017 ∙ by Ce Li, et al. ∙ 0 ∙ share

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Gabor Convolutional Networks

Steerable properties dominate the design of traditional filters, e.g., G...
05/03/2017 ∙ by Shangzhen Luan, et al. ∙ 0 ∙ share

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Elite Bases Regression: A Real-time Algorithm for Symbolic Regression

Symbolic regression is an important but challenging research topic in da...
04/24/2017 ∙ by Chen Chen, et al. ∙ 0 ∙ share

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Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

Deep learning has been demonstrated to achieve excellent results for ima...
03/30/2017 ∙ by Rui Hou, et al. ∙ 0 ∙ share

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Cross-View Image Matching for Geo-localization in Urban Environments

In this paper, we address the problem of cross-view image geo-localizati...
03/22/2017 ∙ by Yicong Tian, et al. ∙ 0 ∙ share

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Chen Chen

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