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06/10/2022
Ego2HandsPose: A Dataset for Egocentric Two-hand 3D Global Pose Estimation
Color-based two-hand 3D pose estimation in the global coordinate system ...
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12/21/2021
Generalizing Interactive Backpropagating Refinement for Dense Prediction
As deep neural networks become the state-of-the-art approach in the fiel...
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05/24/2021
TRACE: A Differentiable Approach to Line-level Stroke Recovery for Offline Handwritten Text
Stroke order and velocity are helpful features in the fields of signatur...
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11/14/2020
Ego2Hands: A Dataset for Egocentric Two-hand Segmentation and Detection
Hand segmentation and detection in truly unconstrained RGB-based setting...
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06/01/2020
Two-hand Global 3D Pose Estimation Using Monocular RGB
We tackle the challenging task of estimating global 3D joint locations f...
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08/04/2018
Language Model Supervision for Handwriting Recognition Model Adaptation
Training state-of-the-art offline handwriting recognition (HWR) models r...
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08/11/2017
Convolutional Neural Networks for Font Classification
Classifying pages or text lines into font categories aids transcription ...
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08/10/2017
Document Image Binarization with Fully Convolutional Neural Networks
Binarization of degraded historical manuscript images is an important pr...
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08/10/2017
Analysis of Convolutional Neural Networks for Document Image Classification
Convolutional Neural Networks (CNNs) are state-of-the-art models for doc...
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10/17/2014
A Hierarchical Multi-Output Nearest Neighbor Model for Multi-Output Dependence Learning
Multi-Output Dependence (MOD) learning is a generalization of standard c...
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07/07/2014
Recommending Learning Algorithms and Their Associated Hyperparameters
The success of machine learning on a given task dependson, among other t...
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06/09/2014
A Hybrid Latent Variable Neural Network Model for Item Recommendation
Collaborative filtering is used to recommend items to a user without req...
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05/28/2014
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage
The results from most machine learning experiments are used for a specif...
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03/13/2014
The Potential Benefits of Filtering Versus Hyper-Parameter Optimization
The quality of an induced model by a learning algorithm is dependent on ...
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03/07/2014
Becoming More Robust to Label Noise with Classifier Diversity
It is widely known in the machine learning community that class noise ca...
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12/19/2013
Missing Value Imputation With Unsupervised Backpropagation
Many data mining and data analysis techniques operate on dense matrices ...
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12/13/2013