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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...
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11/09/2019
Deep learning for cardiac image segmentation: A review
Deep learning has become the most widely used approach for cardiac image...
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10/06/2019
Multilingual Dialogue Generation with Shared-Private Memory
Existing dialog systems are all monolingual, where features shared among...
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10/01/2019
Essentia: Mining Domain-specific Paraphrases with Word-Alignment Graphs
Paraphrases are important linguistic resources for a wide variety of NLP...
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09/27/2019
A closer look at network resolution for efficient network design
There is growing interest in designing lightweight neural networks for m...
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09/27/2019
Visual Explanation for Deep Metric Learning
This work explores the visual explanation for deep metric learning and i...
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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...
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09/18/2019
Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization
In this paper we consider the problem of minimizing composite objective ...
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09/18/2019
Renyi Differentially Private ADMM Based L1 Regularized Classification
In this paper we present two new algorithms, to solve the L1 regularized...
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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...
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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...
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07/21/2019
An Efficient 3D CNN for Action/Object Segmentation in Video
Convolutional Neural Network (CNN) based image segmentation has made gre...
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07/18/2019
Jo: The Smart Journal
We introduce Jo, a mobile application that attempts to improve user's we...
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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 ...
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06/27/2019
Critical Edge Identification: A K-Truss Based Model
In a social network, the strength of relationships between users can sig...
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06/27/2019
K-Core Maximization through Edge Additions
A popular model to measure the stability of a network is k-core - the ma...
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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-...
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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...
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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...
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01/23/2019
New Exploratory Tools for Extremal Dependence: Chi Networks and Annual Extremal Networks
Understanding dependence structure among extreme values plays an importa...
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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...
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12/23/2018
Movies Network as the Indicator of Globalization
The main research involving globalization nowadays is to describe the im...
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12/20/2018
Rain Removal By Image Quasi-Sparsity Priors
Rain streaks will inevitably be captured by some outdoor vision systems,...
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12/05/2018
DropPruning for Model Compression
Deep neural networks (DNNs) have dramatically achieved great success on ...
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11/22/2018
MGANet: A Robust Model for Quality Enhancement of Compressed Video
In video compression, most of the existing deep learning approaches conc...
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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...
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09/12/2018
Hyperspectral Image Classification in the Presence of Noisy Labels
Label information plays an important role in supervised hyperspectral im...
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06/26/2018
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery
As an unsupervised dimensionality reduction method, principal component ...
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06/07/2018
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing
Deep neural network models are usually trained in cluster environments, ...
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05/25/2018
Key Person Aided Re-identification in Partially Ordered Pedestrian Set
Ideally person re-identification seeks for perfect feature representatio...
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05/18/2018
Improving Image Captioning with Conditional Generative Adversarial Nets
In this paper, we propose a novel conditional generative adversarial net...
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05/04/2018
Learning to See in the Dark
Imaging in low light is challenging due to low photon count and low SNR....
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04/23/2018
Memory Attention Networks for Skeleton-based Action Recognition
Skeleton-based action recognition task is entangled with complex spatio-...
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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...
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02/23/2018
TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer
Modern low-latency anonymity systems, no matter whether constructed as a...
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01/12/2018
Real-world Anomaly Detection in Surveillance Videos
Surveillance videos are able to capture a variety of realistic anomalies...
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12/04/2017
Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
3D action recognition has broad applications in human-computer interacti...
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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 ...
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11/11/2017
Latent Constrained Correlation Filter
Correlation filters are special classifiers designed for shift-invariant...
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10/27/2017
Multi-modal Aggregation for Video Classification
In this paper, we present a solution to Large-Scale Video Classification...
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08/06/2017
Manifold Constrained Low-Rank Decomposition
Low-rank decomposition (LRD) is a state-of-the-art method for visual dat...
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08/05/2017
Fast Modeling Methods for Complex System with Separable Features
Data-driven modeling plays an increasingly important role in different a...
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07/12/2017
Deep Fisher Discriminant Learning for Mobile Hand Gesture Recognition
Gesture recognition is a challenging problem in the field of biometrics....
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05/23/2017
A divide and conquer method for symbolic regression
Symbolic regression aims to find a function that best explains the relat...
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05/22/2017
Block building programming for symbolic regression
Symbolic regression that aims to detect underlying data-driven models ha...
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05/09/2017
Deep Spatio-temporal Manifold Network for Action Recognition
Visual data such as videos are often sampled from complex manifold. We p...
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05/03/2017
Gabor Convolutional Networks
Steerable properties dominate the design of traditional filters, e.g., G...
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04/24/2017
Elite Bases Regression: A Real-time Algorithm for Symbolic Regression
Symbolic regression is an important but challenging research topic in da...
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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...
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03/22/2017
