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Learning Anomalies with Normality Prior for Unsupervised Video Anomaly Detection
Haoyue Shi, Wei Tang September 29, 2024 - October 4, 2024 Unsupervised video anomaly detection (UVAD) aims to detect abnormal events in videos without any annotations. It remains challenging because… Read more |
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Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction
Dian Jia, Kun Xia, Wei Tang, Zhiming Zou September 29, 2024 - October 4, 2024 Deep learning approaches have made significant success in single-view 3D reconstruction, but they often rely on expensive 3D annotations for… Read more |
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MouseScholar: Evaluating an Image+Text Search System for Biocuration
Carla Floricel, G. Elisabeta Marai, Juan Trelles Trabucco December 5, 2023 - December 8, 2023 Biocuration is the process of analyzing biological or biomedical articles to organize biological data into data repositories using taxonomies and… Read more |
.png "Enhancing biomedical search interfaces with images") |
Enhancing biomedical search interfaces with images
G. Elisabeta Marai, Juan Trelles Trabucco July 17, 2023 Motivation: Figures in biomedical papers communicate essential information with the potential to identify relevant documents in biomedical and… Read more |
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Head and Neck Cancer Predictive Risk Estimator to Determine Control and Therapeutic Outcomes of Radiotherapy (HNCPREDICTOR)
G. Elisabeta Marai, Md Nafiul Alam Nipu October 21, 2022 Background. Personalized radiotherapy can improve treatment outcomes of head and neck cancer (HNC) patients, where currently a… Read more |
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Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
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Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen June 3, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
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Moving from Composable to Programmable
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Zhongyi Chen April 15, 2022 In today’s Big Data era, data scientists require modern workflows to quickly analyze large-scale datasets using complex codes to maintain the… Read more |
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Composable Infrastructures for an Academic Research Environment: Lessons Learned
Andrew Johnson, Lance Long, Luc Renambot, Maxine Brown, Timothy Bargo April 15, 2022 Composable infrastructure holds the promise of accelerating the pace of academic research and discovery by enabling researchers to tailor the… Read more |
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THALIS: Human-Machine Analysis of Longitudinal Symptoms in Cancer Therapy
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, Md Nafiul Alam Nipu January 1, 2022 Although cancer patients survive years after oncologic therapy, they are plagued with long-lasting or permanent residual symptoms, whose severity… Read more |
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Feature Selection for Support Vector Regression Using a Genetic Algorithm
G. Elisabeta Marai September 8, 2021 Support vector regression (SVR) is particularly beneficial when the outcome and predictors are nonlinearly related. However, when many covariates are… Read more |
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Exploit Visual Dependency Relations for Semantic Segmentation
Wei Tang June 19, 2021 - June 25, 2021 Dependency relations among visual entities are ubiquitous because both objects and scenes are highly structured. They provide prior knowledge about… Read more |
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A digital twin dyad with deep Q-learning in head and neck cancer treatment
Andrew Wentzel, Elisa Tardini, G. Elisabeta Marai June 18, 2021 Each year, over 60,000 people in the United States are diagnosed with head and neck cancers. Treatment strategies are dynamic and complex and can… Read more |
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Precision association of lymphatic disease spread with radiation-associated toxicity in oropharyngeal squamous carcinomas
Andrew Wentzel, G. Elisabeta Marai, Timothy Luciani June 11, 2021 Purpose: To determine whether patient similarity in terms of head and neck cancer spread through lymph nodes correlates significantly with… Read more |
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Identifying Symptom Clusters Through Association Rule Mining
Carla Floricel, G. Elisabeta Marai June 8, 2021 Cancer patients experience many symptoms throughout their cancer treatment and sometimes suffer from lasting effects post treatment. Patient-Reported… Read more |
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Modality-Classification of Microscopy Images Using Shallow Variants of Deep Networks
G. Elisabeta Marai, Juan Trelles Trabucco December 16, 2020 - December 19, 2020 Microscopy images are pervasive in biomedical research publications, where images obtained through various microscopy modalities (light… Read more |
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Learning Global Pose Features in Graph Convolutional Networks for 3D Human Pose Estimation
Wei Tang November 30, 2020 - December 4, 2020 As the human body skeleton can be represented as a sparse graph, it is natural to exploit graph convolutional networks (GCNs) to model the… Read more |
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High-order Graph Convolutional Networks for 3D Human Pose Estimation
Wei Tang September 7, 2020 - September 10, 2020 Graph convolutional networks (GCNs) have been applied to 3D human pose estimation (HPE) from 2D body joint detections and have demonstrated promising… Read more |
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ReactionFlow: An Interactive Visualization Tool for Causality Analysis in Biological Pathways
Angus Forbes, Jillian Aurisano, Tuan Dang July 10, 2015 - July 11, 2015 Background: Molecular and systems biologists are tasked with the comprehension and analysis of incredibly complex networks of biochemical… Read more |
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PathwayMatrix: Visualizing Binary Relationships between Proteins in Biological Pathways
Angus Forbes, Paul Murray, Tuan Dang July 10, 2015 - July 11, 2015 Background: Molecular activation pathways are inherently complex, and understanding relations across many biochemical reactions and reaction types is… Read more |
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Visualizing Science: The OptIPuter Project
Alan Verlo, Byungil Jeong, Daniel J. Sandin, Greg Dawe, Jason Leigh, Javier Girado, Lance Long, Luc Renambot, Maxine Brown, Robert Kooima, Sungwon Nam, Thomas A. DeFanti, Venkatram Vishwanath April 1, 2009 For many areas of science and engineering, visualization has become more than a convenient tool: it has become a necessity for interpreting the… Read more |
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The Rails Toolkit (RTK) - Enabling End-System Topology-Aware High End Computing
Jason Leigh, Luc Renambot, Sungwon Nam, Venkatram Vishwanath December 7, 2008 - December 12, 2008 We present a novel rails approach so that future E-Science applications can effectively exploit future system architectures, including multi-core and… Read more |
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OptiStore: An On-Demand Data Processing Middleware for Very Large Scale Interactive Visualization
Charles Zhang May 1, 2008 OptiStore is an on-demand data processing middleware for extremely large scale interactive visualization applications. It aims to develop a data… Read more |
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PACE: A Framework for Personalized Visualization and Scalable Human Computer Interaction
Xun Luo May 1, 2008 Virtual reality (VR) is a technology which allows a user to interact with a computer-simulated virtual environment (VE). Since its inception it has… Read more |
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Pervasive Web Community Structure Summarization: A Machine Learning Approach
Robert V. Kenyon, Xun Luo June 29, 2006 Although community discovery based on social network has been studied extensively in the Web hyperlink environment, limited research has been done in… Read more |
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PAVIS - Pervasive Adaptive Visualization and Interaction Service
Andrew Johnson, Jason Leigh, Javid Alimohideen, Luc Renambot, Robert L. Grossman April 22, 2006 - April 27, 2006 Prior research efforts have focused on the development of techniques for rule-based automated generation of either visualizations or user-interfaces… Read more |
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Realistic Cross-Platform Haptic Applications Using Freely-Available Libraries
Cristian J. Luciano, Thomas A. DeFanti March 1, 2004 This paper describes the development of a generic framework for implementing realistic cross-platform haptic virtual reality applications. Currently… Read more |
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Experimental Studies Using Photonic Data Services at iGrid 2002
Robert L. Grossman August 1, 2003 We describe an architecture for remote and distributed data intensive applications which integrates optical path services, network protocol services… Read more |
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TeraScope: Distributed Visual Data Mining of Terascale Data Sets over Photonic Networks
Brent Grossman, Charles Zhang, Jason Leigh, Paul Rossman, Robert L. Grossman, Thomas A. DeFanti August 1, 2003 TeraScope is a framework and a suite of tools for interactively browsing and visualizing large terascale data sets. Unique to TeraScope is its… Read more |
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Adaptive Networking for Tele-Immersion
Alan Verlo, Atul Nayak, Eric He, HyeYun Park, Jason Leigh, Kyoung Shin Park, Naveen Krishnaprasad, Ray Fang, Soyon Park, Thomas A. DeFanti, Yongjoo Cho May 16, 2001 - May 18, 2001 Tele-Immersive applications possess an unusually broad range of networking requirements. As high-speed and Quality of Service-enabled networks… Read more |
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Differentiated Services Experiments Between the Electronic Visualization Laboratory and Argonne National Laboratory
Alan Verlo, Jason Leigh, Thomas A. DeFanti December 1, 2000 Differentiated Services (DiffServ) is a mechanism for supporting network Quality of Service (or QoS) whereby packets that are transmitted by a client… Read more |
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Fuzzy-Timing Petri Net Modeling and Simulation of a Networked Virtual Environment - NICE
Charles Zhang, Thomas A. DeFanti November 1, 2000 Despite their attractive properties, networked virtual environments (net-VEs) are notoriously difficult to design, implement and test due to the… Read more |
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iGrid2000 Empowering Global Research Community Networking
Maxine Brown July 18, 2000 - July 21, 2000 iGrid 2000, the International Grid, demonstrates how the power of today’s research networks enables access to remote computing resources… Read more |
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The Tele-Immersive Data Explorer: A Distributed Architecture for Collaborative Interactive Visualization of Large Data-sets
Andrew Johnson, Brent Grossman, Chris Scharver, Jason Leigh, John Hart, Nikita Sawant, Paul Rossman, Robert L. Grossman June 19, 2000 - June 20, 2000 There exists a number of scientific visualization systems designed to provide a two-dimensional interface to the user. However, little consideration… Read more |
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The Tele-Immersive Data Explorer (TIDE): A Distributed Architecture for Tele-immersive Scientific Visualization
Nikita Sawant May 1, 2000 Visualization is the key methodology that gives the researcher insight into data that may be generated from various sources such as computational… Read more |
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A Methodology for Supporting Collaborative Exploratory Analysis of Massive Data Sets in Tele-Immersive Environments
Andrew Johnson, Brent Grossman, Jason Leigh, Paul Rossman, Robert L. Grossman, Thomas A. DeFanti August 3, 1999 - August 6, 1999 This paper proposes a methodology for employing collaborative, immersive virtual environments as a high-end visualization interface for massive… Read more |
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A Tele-Immersive Environment for Collaborative Exploratory Analysis of Massive Data Sets
Andrew Johnson, Brent Grossman, Jason Leigh, Paul Rossman, Robert L. Grossman, Thomas A. DeFanti June 15, 1999 - June 17, 1999 This is a white paper outlining a methodology for employing collaborative, immersive virutal environments as a high-end visualization interface for… Read more |
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A Review of Tele-Immersive Applications in the CAVE® Research Network
Andrew Johnson, Jason Leigh, Thomas A. DeFanti March 13, 1999 - March 17, 1999 This paper presents an overview of the Tele-Immersion applications that have been built by collaborators around the world using the CAVERNsoft… Read more |
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Multi-disciplinary Experiences with CAVERNsoft Tele-Immersive Applications
Andrew Johnson, Jason Leigh, Thomas A. DeFanti November 18, 1998 - November 20, 1998 CAVERNsoft is an architecture for creating Tele-Immersive applications, with the goal of making synchronous and asynchronous trans-oceanic… Read more |
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Global Tele-Immersion: Better than Being There
Andrew Johnson, Daniel J. Sandin, Jason Leigh, Maxine Brown, Thomas A. DeFanti December 3, 1997 - December 5, 1997 The term Tele-Immersion was first used in October 1996 as the title of a workshop the Electronic Visualization Laboratory (EVL) at University of… Read more |
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High-Resolution and High-Bandwidth Immersive Interactivity
Daniel J. Sandin, Gary Lindahl, Maxine Brown, Thomas A. DeFanti February 1, 1996 The Electronic Visualization Laboratory (EVL) at the University of Illinois at Chicago (UIC) specializes in virtual reality (VR) and scientific… Read more |
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Overview of the I-WAY: Wide Area Visual Supercomputing
Michael E. Papka, Thomas A. DeFanti January 1, 1996 This paper discusses the I-WAY project and provides an overview of the papers in this issue of IJSA. The I-WAY is an experimental environment for… Read more |
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Data Retrieval Through Virtual Experimentation
Andrew Johnson June 1, 1995 In this paper we describe a new interface to scientific databases, the SANDBOX: Scientists Accessing Necessary Data Based On eXperimentation. The… Read more |
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The Cosmic Worm in the CAVE®: Steering a High Performance Computing Application from a Virtual Environment
Alan Cruz, Carolina Cruz-Neira, Daniel J. Sandin, Thomas A. DeFanti, Trina Roy April 1, 1995 Developing graphical interfaces to steer high performance scientific computations has been a research subject in recent years. Now, computational… Read more |
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The SANDBOX: A Virtual Reality Interface to Scientific Databases
Andrew Johnson September 1, 1994 Much of the data that is stored in scientific databases is collected through experimentation. In this paper we propose a new interface to scientific… Read more |
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Cosmic Worm
Gideon Goldman, Jon Goldman, Trina Roy July 1, 1994 Sometimes scientists would like to stick their heads into interesting parts of their data sets and look around, but they are hampered by the… Read more |
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Scientists in Wonderland: A Report on Visualization Applications in the CAVE™ Virtual Reality Environment
Alan Cruz, Carolina Cruz-Neira, Christina Vasilakis, Craig Barnes, Daniel J. Sandin, Eric He, Jason Leigh, Jinghua Ge, Lewis Siegel, Michael E. Papka, Randy Hudson (1951-2020), Roger Engelman, Steven Cohen, Sumit Das, Thomas A. DeFanti October 1, 1993 Traditional computer graphics has typically required that scientists look through a restricted window (the computer screen), to view images that… Read more |
