
Structured Graph Learning for Clustering and Semisupervised Classification
Graphs have become increasingly popular in modeling structures and inter...
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You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
In this paper, we study two challenging and lesstouched problems in sin...
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Heterogeneous Representation Learning: A Review
The realworld data usually exhibits heterogeneous properties such as mo...
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Knowledge as Priors: CrossModal Knowledge Generalization for Datasets without Superior Knowledge
Crossmodal knowledge distillation deals with transferring knowledge fro...
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Learning to Learn Single Domain Generalization
We are concerned with a worstcase scenario in model generalization, in ...
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Learning Graph Embedding with Limited Labeled Data: An Efficient Sampling Approach
Semisupervised graph embedding methods represented by graph convolution...
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Deep Anomaly Detection in Packet Payload
With the widespread adoption of cloud services, especially the extensive...
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Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding
Graph kernels are widely used for measuring the similarity between graph...
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DNNRE: A Dynamic Neural Network for Distant Supervised Relation Extraction
Distant Supervised Relation Extraction (DSRE) is usually formulated as a...
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Rethinking Kernel Methods for Node Representation Learning on Graphs
Graph kernels are kernel methods measuring graph similarity and serve as...
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Construct Dynamic Graphs for Hand Gesture Recognition via SpatialTemporal Attention
We propose a Dynamic GraphBased SpatialTemporal Attention (DGSTA) met...
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Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks
The aim of this study is developing an automatic system for detection of...
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Semantic Graph Convolutional Networks for 3D Human Pose Regression
In this paper, we study the problem of learning Graph Convolutional Netw...
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Learning where to look: SemanticGuided MultiAttention Localization for ZeroShot Learning
Zeroshot learning extends the conventional object classification to the...
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kmeansNet: When kmeans Meets Differentiable Programming
In this paper, we study how to make clustering benefiting from different...
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CUNet: Coupled UNets
We design a new connectivity pattern for the UNet architecture. Given s...
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Quantized Densely Connected UNets for Efficient Landmark Localization
In this paper, we propose quantized densely connected UNets for efficie...
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Learning to Forecast and Refine Residual Motion for ImagetoVideo Generation
We consider the problem of imagetovideo translation, where an input im...
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CRGAN: Learning Complete Representations for Multiview Generation
Generating multiview images from a singleview input is an essential ye...
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Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation
Random data augmentation is a critical technique to avoid overfitting in...
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Toward Markerfree 3D Pose Estimation in Lifting: A Deep Multiview Solution
Lifting is a common manual material handling task performed in the workp...
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REDNet: A Recurrent EncoderDecoder Network for Videobased Face Alignment
We propose a novel method for realtime face alignment in videos based o...
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Deep Sparse Subspace Clustering
In this paper, we present a deep extension of Sparse Subspace Clustering...
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ReconstructionBased Disentanglement for Poseinvariant Face Recognition
Deep neural networks (DNNs) trained on largescale datasets have recentl...
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Track Facial Points in Unconstrained Videos
Tracking Facial Points in unconstrained videos is challenging due to the...
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A Recurrent EncoderDecoder Network for Sequential Face Alignment
We propose a novel recurrent encoderdecoder network model for realtime...
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Connections Between Nuclear Norm and Frobenius Norm Based Representations
A lot of works have shown that frobeniusnorm based representation (FNR)...
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Automatic Subspace Learning via Principal Coefficients Embedding
In this paper, we address two challenging problems in unsupervised subsp...
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Fast Lowrank Representation based Spatial Pyramid Matching for Image Classification
Spatial Pyramid Matching (SPM) and its variants have achieved a lot of s...
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A Unified Framework for Representationbased Subspace Clustering of Outofsample and Largescale Data
Under the framework of spectral clustering, the key of subspace clusteri...
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Locally linear representation for image clustering
It is a key to construct a similarity graph in graphoriented subspace l...
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Learning LocalityConstrained Collaborative Representation for Face Recognition
The model of lowdimensional manifold and sparse representation are two ...
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Constructing the L2Graph for Robust Subspace Learning and Subspace Clustering
Under the framework of graphbased learning, the key to robust subspace ...
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Xi Peng
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Research Assistant, Department of Computer Science Rutgers, The State University of New Jersey