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Visual Explanation for Deep Metric Learning
This work explores the visual explanation for deep metric learning and i...
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CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction
Pedestrian path prediction is an essential topic in computer vision and ...
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Automatic Image Labelling at Pixel Level
The performance of deep networks for semantic image segmentation largely...
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Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment
To leverage deep learning for image aesthetics assessment, one critical ...
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Visual Tracking via Reliable Memories
In this paper, we propose a novel visual tracking framework that intelli...
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StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks
Although Generative Adversarial Networks (GANs) have shown remarkable su...
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Beyond Bilinear: Generalized Multi-modal Factorized High-order Pooling for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question Answering
Visual question answering (VQA) is challenging because it requires a sim...
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Lasso estimation for GEFCom2014 probabilistic electric load forecasting
We present a methodology for probabilistic load forecasting that is base...
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Embedding Label Structures for Fine-Grained Feature Representation
Recent algorithms in convolutional neural networks (CNN) considerably ad...
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Nonparametric Detection of Anomalous Data Streams
A nonparametric anomalous hypothesis testing problem is investigated, in...
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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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Wide-Area Image Geolocalization with Aerial Reference Imagery
We propose to use deep convolutional neural networks to address the prob...
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Towards Semantic Modeling of Contradictions and Disagreements: A Case Study of Medical Guidelines
We introduce a formal distinction between contradictions and disagreemen...
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Learning Concept Embeddings for Efficient Bag-of-Concepts Densification
Explicit concept space models have proven efficacy for text representati...
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A Context-aware Attention Network for Interactive Question Answering
Neural network based sequence-to-sequence models in an encoder-decoder f...
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We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!
Online content publishers often use catchy headlines for their articles ...
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Entity Type Recognition using an Ensemble of Distributional Semantic Models to Enhance Query Understanding
We present an ensemble approach for categorizing search query entities i...
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Measuring Semantic Relatedness using Mined Semantic Analysis
Mined Semantic Analysis (MSA) is a novel concept space model which emplo...
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Watsonsim: Overview of a Question Answering Engine
The objective of the project is to design and run a system similar to Wa...
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Practical Whole-System Provenance Capture
Data provenance describes how data came to be in its present form. It in...
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Beyond Word Embeddings: Learning Entity and Concept Representations from Large Scale Knowledge Bases
Text representation using neural word embeddings has proven efficacy in ...
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Deep Learning for Identifying Potential Conceptual Shifts for Co-creative Drawing
We present a system for identifying conceptual shifts between visual cat...
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Help Me Find a Job: A Graph-based Approach for Job Recommendation at Scale
Online job boards are one of the central components of modern recruitmen...
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A Sheaf Model of Contradictions and Disagreements. Preliminary Report and Discussion
We introduce a new formal model -- based on the mathematical construct o...
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One-Class Adversarial Nets for Fraud Detection
Many online applications, such as online social networks or knowledge ba...
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Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond
Topic models are a family of statistical-based algorithms to summarize, ...
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MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Recently, generative adversarial networks (GANs) have shown promising pe...
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DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster
Virtualization is a promising technology that has facilitated cloud comp...
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Emotion Detection in Text: a Review
In recent years, emotion detection in text has become more popular due t...
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Rejection Sampling for Tempered Levy Processes
We extend the idea of tempering stable Levy processes to tempering more ...
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Anchored in a Data Storm: How Anchoring Bias Can Affect User Strategy, Confidence, and Decisions in Visual Analytics
Cognitive biases have been shown to lead to faulty decision-making. Rece...
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CR-GAN: Learning Complete Representations for Multi-view Generation
Generating multi-view images from a single-view input is an essential ye...
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Vulnerable to Misinformation? Verifi!
We present Verifi2, a visual analytic system to support the investigatio...
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Evaluating Creativity in Computational Co-Creative Systems
This paper provides a framework for evaluating creativity in co-creative...
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A Short Survey of Topological Data Analysis in Time Series and Systems Analysis
Topological Data Analysis (TDA) is the collection of mathematical tools ...
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GI-OHMS: Graphical Inference to Detect Overlapping Communities
Discovery of communities in complex networks is a topic of considerable ...
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NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification
This paper introduces a fast and efficient network architecture, NeXtVLA...
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An Exploratory Study of (#)Exercise in the Twittersphere
Social media analytics allows us to extract, analyze, and establish sema...
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Graph Embedding for Citation Recommendation
As science advances, the academic community has published millions of re...
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IoTC2: A Formal Method Approach for Detecting Conflicts in Large Scale IoT Systems
Internet of Things (IoT) has become a common paradigm for different doma...
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Towards Finding Non-obvious Papers: An Analysis of Citation Recommender Systems
As science advances, the academic community has published millions of re...
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Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Currently, explosive increase of smartphones with powerful built-in sens...
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Gibbs posterior convergence and the thermodynamic formalism
In this paper we consider a Bayesian framework for making inferences abo...
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Deep CSI Learning for Gait Biometric Sensing and Recognition
Gait is a person's natural walking style and a complex biological proces...
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Physical Layer Identification based on Spatial-temporal Beam Features for Millimeter Wave Wireless Networks
With millimeter wave (mmWave) wireless communication envisioned to be th...
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A Comprehensive Survey of Interface Protocols for Software Defined Networks
Software Defined Networks has seen tremendous growth and deployment in d...
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IoT Virtualization: A Survey of Software Definition & Function Virtualization Techniques for Internet of Things
Internet of Things (IoT) and Network Softwarization are fast becoming co...
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Seniors' Media Preference for Receiving Internet Security Information: A Pilot Study
Due to the increasing use of Internet by older adults and their low comp...
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Visual Analysis of Photo Policy Misconfigurations Using Treemaps
Online photo privacy is a major concern for social media users. Numerous...
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