
-
Towards Deep Clustering of Human Activities from Wearables
Our ability to exploit low-cost wearable sensing modalities for critical...
read it
-
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...
read it
-
COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution
A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...
read it
-
Learn to Predict Sets Using Feed-Forward Neural Networks
This paper addresses the task of set prediction using deep feed-forward ...
read it
-
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...
read it
-
Creating Auxiliary Representations from Charge Definitions for Criminal Charge Prediction
Charge prediction, determining charges for criminal cases by analyzing t...
read it
-
Gradient Information Guided Deraining with A Novel Network and Adversarial Training
In recent years, deep learning based methods have made significant progr...
read it
-
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...
read it
-
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...
read it
-
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Removing rain effects from an image automatically has many applications ...
read it
-
Attention-guided Network for Ghost-free High Dynamic Range Imaging
Ghosting artifacts caused by moving objects or misalignments is a key ch...
read it
-
Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis
Generating images via the generative adversarial network (GAN) has attra...
read it
-
RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
RGB images differentiate from depth images as they carry more details ab...
read it
-
Learning Pairwise Relationship for Multi-object Detection in Crowded Scenes
As the post-processing step for object detection, non-maximum suppressio...
read it
-
Deep Auto-Set: A Deep Auto-Encoder-Set Network for Activity Recognition Using Wearables
Automatic recognition of human activities from time-series sensor data (...
read it
-
Variational Bayesian Dropout
Variational dropout (VD) is a generalization of Gaussian dropout, which ...
read it
-
MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution
Total variation (TV) regularization has proven effective for a range of ...
read it
-
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...
read it
-
Learning an Optimizer for Image Deconvolution
As an integral component of blind image deblurring, non-blind deconvolut...
read it
-
Question Answering over Freebase via Attentive RNN with Similarity Matrix based CNN
With the rapid growth of knowledge bases (KBs), question answering over ...
read it
-
Joint Learning of Set Cardinality and State Distribution
We present a novel approach for learning to predict sets using deep lear...
read it
-
Beyond Low Rank: A Data-Adaptive Tensor Completion Method
Low rank tensor representation underpins much of recent progress in tens...
read it
-
Bayesian Conditional Generative Adverserial Networks
Traditional GANs use a deterministic generator function (typically a neu...
read it
-
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 ...
read it
-
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...
read it
-
Image-based Recommendations on Styles and Substitutes
Humans inevitably develop a sense of the relationships between objects, ...
read it
-
Hashing on Nonlinear Manifolds
Learning based hashing methods have attracted considerable attention due...
read it
-
A Hybrid Loss for Multiclass and Structured Prediction
We propose a novel hybrid loss for multiclass and structured prediction ...
read it
-
Constraint Reduction using Marginal Polytope Diagrams for MAP LP Relaxations
LP relaxation-based message passing algorithms provide an effective tool...
read it
-
Is margin preserved after random projection?
Random projections have been applied in many machine learning algorithms...
read it
-
Real-time Visual Tracking Using Sparse Representation
The ℓ_1 tracker obtains robustness by seeking a sparse representation of...
read it