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08/02/2020
Towards Deep Clustering of Human Activities from Wearables
Our ability to exploit low-cost wearable sensing modalities for critical...
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07/14/2020
Attend And Discriminate: Beyond the State-of-the-Art for Human Activity Recognition using Wearable Sensors
Wearables are fundamental to improving our understanding of human activi...
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04/23/2020
COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
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01/30/2020
Learn to Predict Sets Using Feed-Forward Neural Networks
This paper addresses the task of set prediction using deep feed-forward ...
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01/08/2020
Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation
Most learning-based super-resolution (SR) methods aim to recover high-re...
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11/12/2019
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
Charge prediction, determining charges for criminal cases by analyzing t...
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10/09/2019
Gradient Information Guided Deraining with A Novel Network and Adversarial Training
In recent years, deep learning based methods have made significant progr...
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06/22/2019
Deep Single Image Deraining Via Estimating Transmission and Atmospheric Light in rainy Scenes
Rain removal in images/videos is still an important task in computer vis...
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06/06/2019
SparseSense: Human Activity Recognition from Highly Sparse Sensor Data-streams Using Set-based Neural Networks
Batteryless or so called passive wearables are providing new and innovat...
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05/14/2019
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Removing rain effects from an image automatically has many applications ...
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04/23/2019
Attention-guided Network for Ghost-free High Dynamic Range Imaging
Ghosting artifacts caused by moving objects or misalignments is a key ch...
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03/27/2019
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Generating images via the generative adversarial network (GAN) has attra...
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03/02/2019
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
RGB images differentiate from depth images as they carry more details ab...
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01/12/2019
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
As the post-processing step for object detection, non-maximum suppressio...
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11/20/2018
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables
Automatic recognition of human activities from time-series sensor data (...
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11/19/2018
Variational Bayesian Dropout
Variational dropout (VD) is a generalization of Gaussian dropout, which ...
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10/12/2018
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution
Total variation (TV) regularization has proven effective for a range of ...
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05/02/2018
Deep Perm-Set Net: Learn to Predict Sets with Unknown Permutation and Cardinality Using Deep Neural Networks
We present a novel approach for learning to predict sets with unknown pe...
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04/10/2018
Learning an Optimizer for Image Deconvolution
As an integral component of blind image deblurring, non-blind deconvolut...
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04/10/2018
Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
With the rapid growth of knowledge bases (KBs), question answering over ...
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09/13/2017
Joint Learning of Set Cardinality and State Distribution
We present a novel approach for learning to predict sets using deep lear...
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08/03/2017
Beyond Low Rank: A Data-Adaptive Tensor Completion Method
Low rank tensor representation underpins much of recent progress in tens...
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06/17/2017
Bayesian Conditional Generative Adverserial Networks
Traditional GANs use a deterministic generator function (typically a neu...
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12/08/2016
From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur
Removing pixel-wise heterogeneous motion blur is challenging due to the ...
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11/06/2016
The Shallow End: Empowering Shallower Deep-Convolutional Networks through Auxiliary Outputs
The depth is one of the key factors behind the great success of convolut...
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06/15/2015
Image-based Recommendations on Styles and Substitutes
Humans inevitably develop a sense of the relationships between objects, ...
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12/02/2014
Hashing on Nonlinear Manifolds
Learning based hashing methods have attracted considerable attention due...
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02/09/2014
A Hybrid Loss for Multiclass and Structured Prediction
We propose a novel hybrid loss for multiclass and structured prediction ...
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12/17/2013
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations
LP relaxation-based message passing algorithms provide an effective tool...
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06/18/2012
Is margin preserved after random projection?
Random projections have been applied in many machine learning algorithms...
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12/12/2010