
Anomaly Detection with Density Estimation
We leverage recent breakthroughs in neural density estimation to propose...
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Embedding Compression with Isotropic Iterative Quantization
Continuous representation of words is a standard component in deep learn...
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CookGAN: Meal Image Synthesis from Ingredients
In this work we propose a new computational framework, based on generati...
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Deep Cooking: Predicting Relative Food Ingredient Amounts from Images
In this paper, we study the novel problem of not only predicting ingredi...
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Point Cloud Processing via Recurrent Set Encoding
We present a new permutationinvariant network for 3D point cloud proces...
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Learning a Selfinverse Network for Unpaired Bidirectional Imagetoimage Translation
Recently imagetoimage translation has attracted significant interests ...
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Deep Sparse Representationbased Classification
We present a transductive deep learningbased formulation for the sparse...
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ObjectGuided Instance Segmentation for Biological Images
Instance segmentation of biological images is essential for studying obj...
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Learning FeaturetoFeature Translator by Alternating BackPropagation for ZeroShot Learning
We investigate learning featuretofeature translator networks by altern...
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Towards Learning a Selfinverse Network for Bidirectional Imagetoimage Translation
The onetoone mapping is necessary for many bidirectional imagetoimag...
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Accelerating the Computation of UCB and Related Indices for Reinforcement Learning
In this paper we derive an efficient method for computing the indices as...
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Scalingup Distributed Processing of Data Streams for Machine Learning
Emerging applications of machine learning in numerous areas involve cont...
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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data
Automatic segmentation of anatomical landmarks from ultrasound (US) play...
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ViewSynth: Learning Local Features from Depth using View Synthesis
We address the problem of jointly detecting keypoints and learning descr...
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MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
The ability to reliably perceive the environmental states, particularly ...
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ASSD: Attentive Single Shot Multibox Detector
This paper proposes a new deep neural network for object detection. The ...
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CAG: A Realtime Lowcost Enhancedrobustness Hightransferability Contentaware Adversarial Attack Generator
Deep neural networks (DNNs) are vulnerable to adversarial attack despite...
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Machine Learning for Motor Learning: EEGbased Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
Although cognitive engagement (CE) is crucial for motor learning, it rem...
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Are Emojis Emotional? A Study to Understand the Association between Emojis and Emotions
Given the growing ubiquity of emojis in language, there is a need for me...
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Simulation Assisted Likelihoodfree Anomaly Detection
Given the lack of evidence for new particle discoveries at the Large Had...
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Synthesis of HighQuality Visible Faces from Polarimetric Thermal Faces using Generative Adversarial Networks
The large domain discrepancy between faces captured in polarimetric (or ...
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Visibility Constrained Generative Model for Depthbased 3D Facial Pose Tracking
In this paper, we propose a generative framework that unifies depthbase...
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ImbalanceXGBoost: Leveraging Weighted and Focal Losses for Binary LabelImbalanced Classification with XGBoost
The paper presents ImbalanceXGBoost, a Python package that combines the...
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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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Neural Multisensory Scene Inference
For embodied agents to infer representations of the underlying 3D physic...
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Scenelevel Pose Estimation for Multiple Instances of Densely Packed Objects
This paper introduces key machine learning operations that allow the rea...
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Stable Matrix Completion using Properly Configured Kronecker Product Decomposition
Matrix completion problems are the problems of recovering missing entrie...
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Disconnected Manifold Learning for Generative Adversarial Networks
Real images often lie on a union of disjoint manifolds rather than one g...
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Polarimetric Thermal to Visible Face Verification via Attribute Preserved Synthesis
Thermal to visible face verification is a challenging problem due to the...
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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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Deep Transfer Learning for Multiple Class Novelty Detection
We propose a transfer learningbased solution for the problem of multipl...
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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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Generating Animations from Screenplays
Automatically generating animation from natural language text finds appl...
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Unsupervised Visual Domain Adaptation: A Deep MaxMargin Gaussian Process Approach
In unsupervised domain adaptation, it is widely known that the target do...
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Efficient Deep Gaussian Process Models for VariableSized Input
Deep Gaussian processes (DGP) have appealing Bayesian properties, can ha...
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BRIDGE: Byzantineresilient Decentralized Gradient Descent
Decentralized optimization techniques are increasingly being used to lea...
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Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under HeavyTailed Gradient Noise
Stochastic gradient descent with momentum (SGDm) is one of the most popu...
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Approximation Algorithms for MultiRobot PatrolScheduling with MinMax Latency
We consider the problem of finding patrol schedules for k robots to visi...
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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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Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms
This work addresses the problem of learning sparse representations of te...
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LearningAided Physical Layer Attacks Against Multicarrier Communications in IoT
InternetofThings (IoT) devices that are limited in power and processin...
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Learning EndtoEnd Codes for the BPSKconstrained Gaussian Wiretap Channel
Finitelength codes are learned for the Gaussian wiretap channel in an e...
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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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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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Effective 3D Humerus and Scapula Extraction using Lowcontrast and Highshapevariability MR Data
For the initial shoulder preoperative diagnosis, it is essential to obta...
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Unsupervised Domain Adaptation with Copula Models
We study the task of unsupervised domain adaptation, where no labeled da...
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Sketchbased Face Editing in Video Using Identity Deformation Transfer
We address the problem of using handdrawn sketch to edit facial identit...
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Intrinsic Nonstationary Covariance Function for Climate Modeling
Designing a covariance function that represents the underlying correlati...
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DMFVI: Distributed Mean Field Variational Inference using Bregman ADMM
Bayesian models provide a framework for probabilistic modelling of compl...
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Gaussian Process for Noisy Inputs with Ordering Constraints
We study the Gaussian Process regression model in the context of trainin...
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Rutgers University
Rutgers, The State University of New Jersey, commonly referred to as Rutgers University, Rutgers, or RU, is a public research university in New Jersey.