b'Chen Chen'

research

∙ 11/12/2019

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...

0 Weiguo Zhou, et al. ∙

research

∙ 11/09/2019

Deep learning for cardiac image segmentation: A review

Deep learning has become the most widely used approach for cardiac image...

95 Chen Chen, et al. ∙

research

∙ 10/06/2019

Multilingual Dialogue Generation with Shared-Private Memory

Existing dialog systems are all monolingual, where features shared among...

0 Chen Chen, et al. ∙

research

∙ 10/01/2019

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

Paraphrases are important linguistic resources for a wide variety of NLP...

0 Danni Ma, et al. ∙

research

∙ 09/27/2019

A closer look at network resolution for efficient network design

There is growing interest in designing lightweight neural networks for m...

0 Taojiannan Yang, et al. ∙

research

∙ 09/27/2019

Visual Explanation for Deep Metric Learning

This work explores the visual explanation for deep metric learning and i...

51 Sijie Zhu, et al. ∙

research

∙ 09/23/2019

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...

0 Chen Chen, et al. ∙

research

∙ 09/18/2019

Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization

In this paper we consider the problem of minimizing composite objective ...

0 Chen Chen, et al. ∙

research

∙ 09/18/2019

Renyi Differentially Private ADMM Based L1 Regularized Classification

In this paper we present two new algorithms, to solve the L1 regularized...

0 Chen Chen, et al. ∙

research

∙ 08/20/2019

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

In this work, we present a fully automatic method to segment cardiac str...

0 Chen Chen, et al. ∙

research

∙ 07/23/2019

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

Cardiac MR image segmentation is essential for the morphological and fun...

5 Chen Chen, et al. ∙

research

∙ 07/21/2019

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

Convolutional Neural Network (CNN) based image segmentation has made gre...

7 Rui Hou, et al. ∙

research

∙ 07/18/2019

Jo: The Smart Journal

We introduce Jo, a mobile application that attempts to improve user's we...

0 Vivian Li, et al. ∙

research

∙ 07/05/2019

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

In the recent years, convolutional neural networks have transformed the ...

6 Wenjia Bai, et al. ∙

research

∙ 06/27/2019

Critical Edge Identification: A K-Truss Based Model

In a social network, the strength of relationships between users can sig...

0 Wenjie Zhu, et al. ∙

research

∙ 06/27/2019

K-Core Maximization through Edge Additions

A popular model to measure the stability of a network is k-core - the ma...

0 Zhongxin Zhou, et al. ∙

research

∙ 04/12/2019

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

The task of cross-view image geo-localization aims to determine the geo-...

0 Bin Sun, et al. ∙

research

∙ 04/06/2019

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

Brain tumor segmentation plays a pivotal role in medical image processin...

0 Chen Chen, et al. ∙

research

∙ 01/29/2019

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...

0 Bin Huang, et al. ∙

research

∙ 01/23/2019

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

Understanding dependence structure among extreme values plays an importa...

0 Whitney K. Huang, et al. ∙

research

∙ 12/23/2018

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...

0 Wen Zhou, et al. ∙

research

∙ 12/23/2018

Movies Network as the Indicator of Globalization

The main research involving globalization nowadays is to describe the im...

0 Zilu Yu, et al. ∙

research

∙ 12/20/2018

Rain Removal By Image Quasi-Sparsity Priors

Rain streaks will inevitably be captured by some outdoor vision systems,...

8 Yinglong Wang, et al. ∙

research

∙ 12/05/2018

DropPruning for Model Compression

Deep neural networks (DNNs) have dramatically achieved great success on ...

0 Haipeng Jia, et al. ∙

research

∙ 11/22/2018

MGANet: A Robust Model for Quality Enhancement of Compressed Video

In video compression, most of the existing deep learning approaches conc...

0 Xiandong Meng, et al. ∙

research

∙ 10/31/2018

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

Segmentation of the left atrium (LA) is crucial for assessing its anatom...

4 Chen Chen, et al. ∙

research

∙ 09/12/2018

Hyperspectral Image Classification in the Presence of Noisy Labels

Label information plays an important role in supervised hyperspectral im...

8 Junjun Jiang, et al. ∙

research

∙ 06/26/2018

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

As an unsupervised dimensionality reduction method, principal component ...

0 Junjun Jiang, et al. ∙

research

∙ 06/07/2018

Fast Distributed Deep Learning via Worker-adaptive Batch Sizing

Deep neural network models are usually trained in cluster environments, ...

0 Chen Chen, et al. ∙

research

∙ 05/25/2018

Key Person Aided Re-identification in Partially Ordered Pedestrian Set

Ideally person re-identification seeks for perfect feature representatio...

0 Chen Chen, et al. ∙

research

∙ 05/18/2018

Improving Image Captioning with Conditional Generative Adversarial Nets

In this paper, we propose a novel conditional generative adversarial net...

0 Chen Chen, et al. ∙

research

∙ 05/04/2018

Learning to See in the Dark

Imaging in low light is challenging due to low photon count and low SNR....

2 Chen Chen, et al. ∙

research

∙ 04/23/2018

Memory Attention Networks for Skeleton-based Action Recognition

Skeleton-based action recognition task is entangled with complex spatio-...

0 Chunyu Xie, et al. ∙

research

∙ 04/01/2018

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

Compression artifacts reduction (CAR) is a challenging problem in the fi...

0 Baochang Zhang, et al. ∙

research

∙ 02/23/2018

TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

Modern low-latency anonymity systems, no matter whether constructed as a...

0 Chen Chen, et al. ∙

research

∙ 01/12/2018

Real-world Anomaly Detection in Surveillance Videos

Surveillance videos are able to capture a variety of realistic anomalies...

0 Waqas Sultani, et al. ∙

research

∙ 12/04/2017

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

3D action recognition has broad applications in human-computer interacti...

0 Mengyuan Liu, et al. ∙

research

∙ 11/30/2017

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 ...

0 Rui Hou, et al. ∙

research

∙ 11/11/2017

Latent Constrained Correlation Filter

Correlation filters are special classifiers designed for shift-invariant...

0 Baochang Zhang, et al. ∙

research

∙ 10/27/2017

Multi-modal Aggregation for Video Classification

In this paper, we present a solution to Large-Scale Video Classification...

0 Chen Chen, et al. ∙

research

∙ 08/06/2017

Manifold Constrained Low-Rank Decomposition

Low-rank decomposition (LRD) is a state-of-the-art method for visual dat...

0 Chen Chen, et al. ∙

research

∙ 08/05/2017

Fast Modeling Methods for Complex System with Separable Features

Data-driven modeling plays an increasingly important role in different a...

0 Chen Chen, et al. ∙

research

∙ 07/12/2017

Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition

Gesture recognition is a challenging problem in the field of biometrics....

0 Chunyu Xie, et al. ∙

research

∙ 05/23/2017

A divide and conquer method for symbolic regression

Symbolic regression aims to find a function that best explains the relat...

0 Changtong Luo, et al. ∙

research

∙ 05/22/2017

Block building programming for symbolic regression

Symbolic regression that aims to detect underlying data-driven models ha...

0 Chen Chen, et al. ∙

research

∙ 05/09/2017

Deep Spatio-temporal Manifold Network for Action Recognition

Visual data such as videos are often sampled from complex manifold. We p...

0 Ce Li, et al. ∙

research

∙ 05/03/2017

Gabor Convolutional Networks

Steerable properties dominate the design of traditional filters, e.g., G...

0 Shangzhen Luan, et al. ∙

research

∙ 04/24/2017

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

Symbolic regression is an important but challenging research topic in da...

0 Chen Chen, et al. ∙

research

∙ 03/30/2017

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

Deep learning has been demonstrated to achieve excellent results for ima...

0 Rui Hou, et al. ∙

research

∙ 03/22/2017

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

In this paper, we address the problem of cross-view image geo-localizati...

0 Yicong Tian, et al. ∙

Chen Chen

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