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08/28/2019
Analysis of a localised nonlinear Ensemble Kalman Bucy Filter with complete and accurate observations
Concurrent observation technologies have made high-precision real-time d...
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06/10/2019
Synthesizing 3D Shapes from Silhouette Image Collections using Multi-projection Generative Adversarial Networks
We present a new weakly supervised learning-based method for generating ...
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03/20/2019
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
Recently, deep learning based 3D face reconstruction methods have shown ...
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03/12/2019
Neyman-Pearson Criterion (NPC): A Model Selection Criterion for Asymmetric Binary Classification
We propose a new model selection criterion, the Neyman-Pearson criterion...
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03/12/2019
A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images
This paper focuses on the challenging task of learning 3D object surface...
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02/14/2019
Learn a Prior for RHEA for Better Online Planning
Rolling Horizon Evolutionary Algorithms (RHEA) are a class of online pla...
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11/25/2018
Generalized R^2 Measures for a Mixture of Bivariate Linear Dependences
Motivated by the pressing needs for capturing complex but interperetable...
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11/07/2018
Image Smoothing via Unsupervised Learning
Image smoothing represents a fundamental component of many disparate com...
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09/21/2018
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes
We present an Adaptive Octree-based Convolutional Neural Network (Adapti...
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09/10/2018
Deep Single-View 3D Object Reconstruction with Visual Hull Embedding
3D object reconstruction is a fundamental task of many robotics and AI p...
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09/04/2018
Modeling Surface Appearance from a Single Photograph using Self-augmented Convolutional Neural Networks
We present a convolutional neural network (CNN) based solution for model...
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08/15/2018
Convolutional Neural Networks on 3D Surfaces Using Parallel Frames
We extend Convolutional Neural Networks (CNNs) on flat and regular domai...
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06/19/2018
HairNet: Single-View Hair Reconstruction using Convolutional Neural Networks
We introduce a deep learning-based method to generate full 3D hair geome...
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06/19/2018
Single-View Hair Reconstruction using Convolutional Neural Networks
We introduce a deep learning-based method to generate full 3D hair geome...
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06/14/2018
View-volume Network for Semantic Scene Completion from a Single Depth Image
We introduce a View-Volume convolutional neural network (VVNet) for infe...
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05/23/2018
DeepToF: Off-the-Shelf Real-Time Correction of Multipath Interference in Time-of-Flight Imaging
Time-of-flight (ToF) imaging has become a widespread technique for depth...
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02/07/2018
Intentional control of type I error over unconscious data distortion: a Neyman-Pearson classification approach
The rise of social media enables millions of citizens to generate inform...
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02/07/2018
Sparse Linear Discriminant Analysis under the Neyman-Pearson Paradigm
In contrast to the classical binary classification paradigm that minimiz...
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12/05/2017
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
We present O-CNN, an Octree-based Convolutional Neural Network (CNN) for...
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09/22/2017
Demography-based Facial Retouching Detection using Subclass Supervised Sparse Autoencoder
Digital retouching of face images is becoming more widespread due to the...
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08/13/2015
Neyman-Pearson Classification under High-Dimensional Settings
Most existing binary classification methods target on the optimization o...
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12/31/2013
Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
We propose a high dimensional classification method that involves nonpar...
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02/28/2011
Neyman-Pearson classification, convexity and stochastic constraints
Motivated by problems of anomaly detection, this paper implements the Ne...
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11/28/2010