june
The United States Geospatial Intelligence Foundation (USGIF) GEOINT 2019 Symposium is just around the corner! This is Kitware's first year to have a booth at GEOINT and we are very
The United States Geospatial Intelligence Foundation (USGIF) GEOINT 2019 Symposium is just around the corner! This is Kitware’s first year to have a booth at GEOINT and we are very excited. Come visit us at booth #1430 to learn more about our advanced computer vision capabilities and how they translate to geospatial intelligence.
Are you interested in machine learning in satellite and marine imagery? We are holding a training session titled “Interactive Machine Learning in Satellite and Marine Imagery”. This training session will demonstrate interactive and machine learning (ML) by analysts based on the open-source Visual Global Intelligence and Analytics Toolkit (VIGILANT) and Video and Image Analytics for Marine Environments (VIAME) systems. These systems allow analysts to develop ML-based object detectors without the need for any programming, all within minutes. Check out our teaser video below and we look forward to seeing you on Monday June 3 in room 302A from 2-4 pm.
Over the years, Kitware has continuously developed exciting and forward thinking technologies that support the GEOINT community. This is all through the use of our specialized team and computer vision and deep learning techniques. These techniques help Kitware build advanced tools and capabilities to support intelligence operations through threat detection and more. By adopting and harnessing deep learning techniques tied with computer vision, Kitware has demonstrated dramatic improvements in technologies. Our focus is on hard problems such as extracting meaningful information from low resolution images and video and/or small training sets. In addition, we scale these technologies to handle large data volumes associated with object detection and tracking, event and activity recognition, scene understanding, 3D vision, threat detection, and more.
Contact:
This year we will have members of the computer vision team attending sessions and at the booth. Please reach out at computervision@kitware.com or 202-725-9389 to schedule meetings throughout GEOINT 2019. We look forward to speaking with you about Kitware’s technologies, solutions, and your challenges!
Month Long Event (june) CDT
Henry B. González Convention Center
900 E Market St, San Antonio, TX 78205
USGIF
Kitware will continue their active participation and support to the computer vision community within this year’s
Kitware at CVPR 2017
Kitware will continue their active participation and support to the computer vision community within this year’s IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). The computer vision team has had a long-term commitment to CVPR and this year will be no different. We will discuss our extensive experience in utilizing deep learning and computer vision to develop tools for image and video scene recognition, object detection and tracking, and image enhancement in talks at multiple workshops. Domains will include aerial video, ground-level video, underwater video and satellite imagery. Throughout CVPR 2019, the vision team will continue their high-level of participation as silver sponsors, area chair, reviewers, workshop organizers, speakers, and more. Come by our booth (#1118) to share and discuss Kitware’s computer vision and deep learning techniques supporting the open source software community. Be sure to check out the full details below so you don’t miss this great opportunity to meet with our team.
Event Details:
Kitware is a silver sponsor at this year’s CVPR. Each year, Kitware sponsors this conference to support this community, recruit computer vision professionals, and to continue collaboration and engagement. Anthony Hoogs, Ph.D., the Senior Director of Computer Vision, is an Area Chair providing his extensive expertise in computer vision and deep learning to ensure selection of the highest quality papers.
Learning to Explain Artificial Intelligence (AI)
Sunday, June 16 will kick-off the beginning of Kitware’s participation starting with the CVPR-19 Workshop on Explainable Artificial Intelligence (AI). This workshop “aims to bring together researchers, engineers and industrial practitioners” to discuss relevant topics and concerns related to “interpretability, safety, and reliability of AI”. Dr. Anthony Hoogs will present detailed information on our accepted paper “Explainability for Content-Based Image Retrieval”. This will be based on our experience performing research and development (R&D) for funded research programs focused on explaining AI. It will be a half-day event located at the Hyatt, Beacon, A; however please check the agenda to ensure no locations have changed at the start of the conference.
Monday June 17, Dr. Anthony Hoogs, the General Co-Chair and organizer of the CVPR 2019 Workshop and Challenge on Automated Analysis of Marine Video for Environmental Monitoring will begin. This full-day workshop includes“experts and researchers interested in learning about the challenges, current work, and opportunities in marine video analytics, including video captured from both under and above water”. Monitoring fish, shellfish, marine mammals, coral reefs, bottom habitats, and other wildlife continues to be of great interest to oceanographers, biologists, and others. Maritime video collection is expanding exponentially as professionals work to determine new ways to use this data for marine science and oceanography. The challenges in this environment are vast and many experts and researchers are diligently working to overcome these challenges to enable increased automated video processing. Currently, marine video is annotated manually, resulting in a tremendous bottleneck to studying marine biological problems such as fish population estimates. Under NOAA funding, Kitware has developed an open-source framework and toolkit, Video and Imagery Analytics for the Marine Environment (VIAME), to integrate analytics algorithms from the community into an operational capability for NOAA.
Video and Imagery Analytics for the Marine Environment (VIAME) Toolkit
This Workshop will feature a data challenge within this domain, in addition to the invited talks and selected papers. Large amounts of image data from a variety of underwater cameras and environments has been provided and annotated by the National Oceanic and Atmospheric Administration (NOAA). Challenge entries must work towards achieving the highest detection and classification accuracy of organisms in the provided videos. Results will be scored and ranked by Kitware, and the top three entries will present their solutions at the workshop. Check out the Challenge website for more information.
Textured 3D Mesh of Jacksonville
Kitware will also be presenting and participating in the EARTHVISION 2019 IEEE/ISPRS Workshop June 17. The need for automated interpretation of remotely sensed data is always present to positively support human society, economy, industry, and the planet. It is evolving and highly challenging, therefore awareness within the computer vision community needs to be raised to support and develop tools to improve data mining, multi-sensor, multi-modality, multi-temporal, and multi-resolution fusion and more. This workshop focuses on large scale computer vision for remote sensing in imagery and is a full-day event with invited talks, poster spotlights and presentations. This year, Kitware was awarded the “Best Paper Presentation” for this workshop titled “Urban Semantic 3D Reconstruction from Multiview Satellite Imagery”. Matt Leotta, Ph.D., a Technical Lead within Kitware’s Computer Vision team, will be presenting this research to the community; with additional Kitware attendees and authors, such as Chengjiang Long, Ph.D., a Computer Vision Researcher with Kitware.
The Workshop on Media Forensics will also be held on Monday, June 17. This workshop will discuss topics such as media forensics, reconstruction of media genealogy, analysis and detection of imagery and videos created by new synthesis methods such as Generative Adversarial Networks (GANs) and more. Kitware’s, Dr. Chengjiang Long will present a spotlight presentation starting at 9:30 am PST on the paper titled “A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos”. It proposes a novel coarse-to-fine framework based on deep Convolutional Neural Networks to automatically detect and localize frame duplication. In addition to this, keynote speakers for universities and government organizations will discuss research, challenges and real-world needs based on media forensics now. Make sure to come check out this workshop in room 102A and the others at CVPR 2019!
Finally, during the main conference and exhibition, Kitware’s computer vision team members including Anthony Hoogs, Ph.D., Keith Fieldhouse, Matt Leotta, Ph.D., Brian Clipp, Ph.D., Matt Dawkins, Chengjiang Long, Ph.D., Heather James, and John Westbrook will be available at booth #1118 to discuss and demonstrate Kitware’s computer vision expertise. You will have the opportunity to see the KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, Kitware’s open source software toolkit that contains advanced computer vision tools to perform object detection and tracking; activity, event, and threat detection; scene understanding; and social multimedia analysis. In addition, our work on the Video and Image Analytics for a Marine Environment (VIAME) toolkit will be demonstrated as we are continuously working with NOAA to develop open source software for fish monitoring and extending that to other capabilities and needs.
About Kitware’s Computer Vision Team:
Kitware’s Computer Vision team recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting Academia, Industry, and the DoD and Intelligence Communities. Our main focus areas include deep learning, object detection and tracking, image and video scene understand, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution; however we are not limited and continuously explore and participate in other research and development for our customers and our partners. We partner with many academic institutions such as Harvard, Massachusetts Institute of Technology, Cornell University, University of California, Berkeley, and 
Texas A&M University. We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force. Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people. Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. Our work on the Visual Global Intelligence and Analytics Toolkit (VIGILANT), funded by the Air Force Research Laboratory (AFRL) via the Small Business Innovation Research (SBIR) program is a collaborative effort with Rochester Institute of Technology’s (RIT’s) Digital Imaging and Remote Sensing (DIRS) and Real Time Vision and Image Processing (RTVIP) Labs and the Middlebury Institute of International Studies at Monterey, James Martin Center for Nonproliferation Studies to develop object and object-based change detection and unstructured change detection in satellite imagery. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains. Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.
Contact:
Please reach out to computervision@kitware.com to schedule meetings throughout this event. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER and VIAME.
june 16 (Sunday) - 20 (Thursday) PST
Long Beach Convention and Entertainment Center
300 E Ocean Blvd, Long Beach, CA 90802
IEEE Computer Society and CVF
july
22julAll Day25Free VTK.js, Girder, Tomviz, VTK, ParaView, and CMake Courses at Kitware this summer!
Kitware will be presenting 7 courses over four days in July (22-25) at our new Albany NY Headquarters. Monday July 22 Morning: Introduction to 3D Web visualization Modern development is pushing applications to
Kitware will be presenting 7 courses over four days in July (22-25) at our new Albany NY Headquarters.
Morning: Introduction to 3D Web visualization
Modern development is pushing applications to run inside Web environments. This course will introduce vtk.js and ParaViewWeb, and explain how these tools enable 3D Visualization inside your web browser.
Afternoon: Managing your data with Girder
Girder is a free and open source web-based data management platform. This course will provide an overview of Girder, including various use cases and extensibility for end-to-end data management, analytics, and visualization.
All Day: CMake and Friends
CMake is open-source software for managing the build and test process of software using compiler-independent methods. This course will teach users the fundamentals of CMake and CTest through a mix of lectures and hands on tutorials.
Morning: Introductory and applied VTK
At this introductory course, attendees learn the fundamental concepts that all users and developers need to know to work with The Visualization Toolkit. A curated selection of hands on exercises, in either C++ or Python, give students first hand experience with VTK’s fundamentals: data structures, data processing and rendering, and user interaction. The course material is annotated with recommended resources for further learning.
Afternoon: Tomviz: Tomography Data from Acquisition to Analysis and Visualization
The course will introduce you to the Tomviz desktop application (Windows, macOS, and Linux binaries available) with a focus on materials tomography data. We will cover the complete pipeline from data acquisition on a TEM microscope to projection image alignment and reconstruction. The more general analysis and visualization of reconstructed tomography data will be covered, along with exporting movies, web scenes, and data. Some advanced topics to be covered include running the pipeline in Docker and adding custom Python-based operators.
Morning: A hands on introduction to ParaView
Paraview is an open-source, parallel visualization and analysis application. In this course we provide a hands-on introduction to the ParaView interface, learn how to query the data, work on examples that use common visualization and data analysis filters, describe how to create animations, and how to save a visualization pipeline as a Python script that can be modified and run in batch mode.
Afternoon: Introduction to Computational Model Builder (CMB)
This course will introduce you to the fundamental concepts of Simulation Model ToolKit (SMTK) with examples in both C++ and Python as well as hands on experience with using the Computational Model Builder (CMB) ModelBuilder Application. These combine to manage the core resources and associated operations which are required to define a simulation. Resources include geometric models, simulation information, and meshes.
This course cover use cases from a large range of problem domains, a discussion on how CMB can be applied to your workflow and problem domains, and future enhancements to both SMTK and CMB.
To reserve a seat for the courses, please fill out this google form and we’ll get back to you to confirm you reservation.
july 22 (Monday) - 25 (Thursday)
may
NVIDIA and Kitware have teamed up to provide a free one-hour webinar on using GPU-accelerated ray tracing in ParaView and VTK to improve understanding of your scientific visualizations. Highlights include: How
NVIDIA and Kitware have teamed up to provide a free one-hour webinar on using GPU-accelerated ray tracing in ParaView and VTK to improve understanding of your scientific visualizations.
Highlights include:
(Thursday) 9:00 am - 10:00 am
april
Beatriz Paniagua, Ph.D., a technical leader on the medical team at Kitware, will join a roundtable forum to determine cross-discipline interests between the biomedical and radio astronomical imaging research communities. More
Beatriz Paniagua, Ph.D., a technical leader on the medical team at Kitware, will join a roundtable forum to determine cross-discipline interests between the biomedical and radio astronomical imaging research communities.
More information can be found at the forum’s website.
All Day (Wednesday)
National Radio Astronomy Observatory (NRAO)
520 Edgemont Road
march
We invite clinical researchers or technologists in biomedical imaging to attend our training course and learn from our team members about open source software platforms for medical computing:
We invite clinical researchers or technologists in biomedical imaging to attend our training course and learn from our team members about open source software platforms for medical computing:
Come for a day, two days or all three!
For more information, including a breakdown of course topics, please see the registration form.
12 (Tuesday) 8:00 am - 14 (Thursday) 5:00 pm
Kitware Carrboro Office
101 East Weaver Street, Suite G4
february
22feb12:00 pmOpen Source Directions Ep. 14: ITK
Principal Engineer Matthew McCormick and Technical Leader Beatriz Paniagua will be guests on the podcast.
Principal Engineer Matthew McCormick and Technical Leader Beatriz Paniagua will be guests on the podcast.
(Friday) 12:00 pm
16febAll Day21SPIE Medical Imaging 2019
Kitware's work will be featured in the following. Monday Poster Session February 18th, from 5:30 to 7 p.m. PST Content based retrieval of video segments from minimally invasive surgery videos
Kitware’s work will be featured in the following.
Monday Poster Session
February 18th, from 5:30 to 7 p.m. PST
Towards an advanced virtual ultrasound-guided renal biopsy trainer
Session 4, Brain: Shapes and Biomarkers
Tuesday, February 19th, from 3:30 to 4:50 p.m. PST
Model selection for spatiotemporal modeling of early childhood sub-cortical development
Session 9, Bone
Thursday, February 21st, from 8 a.m. to 9:40 a.m. PST
Methods for quantitative characterization of bone injury from computed-tomography images
february 16 (Saturday) - 21 (Thursday)
Town and Country Resort & Convention Center
500 Hotel Cir N, San Diego, CA 92108
january
Kitware will be sponsoring and actively participating in the 19th IEEE Winter Conference on Applications of Computer Vision (WACV). This is the IEEE’s and the PAMI-TC’s
Kitware will be sponsoring and actively participating in the 19th IEEE Winter Conference on Applications of Computer Vision (WACV). This is the IEEE’s and the PAMI-TC’s premier meeting on applications of computer vision, being held at the Hilton Waikoloa Village, Hawaii, January 7-11. Over the years, the Computer Vision team has consistently participated in this well-respected conference through organizational roles, sponsorship, workshops, technical papers, presentations, and more. This year is no different. Make sure to check out the full details below for Kitware’s participation so you don’t miss out on an opportunity to meet with our team.
Event Details:
Each year WACV continues to grow with active participation by academia, industry, and government representatives. The event’s combination of workshops, tutorials and main sessions all focus on providing in-depth information on cutting edge research advances in applications of computer vision technology. Topics such as biometrics, deep learning, action recognition, surveillance, 3D reconstruction, tracking, detection, and vision and learning will be discussed in various formats such as presentations, poster sessions, and forums. This venue promotes collaboration, research and development, and insight into computer vision applications and technology. Make sure to look at the final WACV19 program schedule for the list of events.
Details:
Kitware is a Silver Sponsor at WACV19! Each year, Kitware sponsors this event to support the community, recruit computer vision professionals, and to continue collaboration and engagement. We have a long-standing presence and level of participation at WACV as computer vision and deep learning are key elements to furthering advanced application development for various industries and for Kitware.
Kitware’s Senior Director of computer vision, Dr. Anthony Hoogs, is an acting workshop co-chair at the 1st Annual Workshop on Human Activity Detection in Multi-Camera, Continuous, Long-Duration Video (HADCV’19). This workshop will be held on January 7 and will focus on human activity detection in multi-camera video streams. This is a very valuable topic that can positively impact applications supporting those in the public safety and security sectors, crime prevention, human-robot interaction, human-computer interaction and more.
Finally, on January 11th the “Workshop on Image and Video Forensics” will be held, with Dr. Anthony Hoogs as an acting Workshop Co-Chair. This workshop will bring together experts from computer vision, computer graphics, and image processing to advance the state-of-the-art in detecting post-hoc image manipulations, and in linking images and video to camera models or even individual devices.
Contact:
Please reach out to computervision@kitware.com to schedule meetings throughout this event. Kitware will be on-hand for in depth conversations on technology development as well as employment opportunities at Kitware. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER.
january 7 (Monday) - 11 (Friday)
Institute of Electrical and Electronics Engineers (IEEE) and Technical Committee on Pattern Analysis and Machine Intelligence (PAMI-TC)
The original web page for this workshop (actev.nist.gov/workshop/hadcv19) was hosted by the National Institute for Standards and Technology (NIST), which has been closed because of the partial shutdown of
The original web page for this workshop (actev.nist.gov/workshop/hadcv19) was hosted by the National Institute for Standards and Technology (NIST), which has been closed because of the partial shutdown of the US Government. This webpage is a temporary surrogate and does not contain all of the content of the original. The workshop will happen as originally planned on Jan. 7, 2019 with the schedule as published in the hardcopy conference booklet, and also listed below.
This workshop is part of the 2019 IEEE Winter Conference on Applications of Computer Vision (WACV) at the Hilton Waikoloa Village in Hawaii, Jan. 7-11, 2019.
This workshop has an associated data challenge, the Activities in Extended Videos (ACTEV) Prize Challenge sponsored by IARPA. See details at https://actevchallenge.avidannotations.com. In a preliminary phase of the challenge, the top three submissions as of October 2018 were invited to give presentations at this workshop. The challenge continues through February 2019 with substantial prize money and the winners presenting at the ActivityNet workshop at CVPR 2019.
| Opening Remarks and Invited Talks (9:00-10:00) | ||||
| Remarks | 9:00 | Welcome | Organizers | |
| Invited Talk | 9:10 | Detecting Activities with Less | Cees Snoek (University of Amsterdam) | |
| Invited Talk | 9:40 | Activity Detection in Extended Videos – The IARPA DIVA Program | Jeff Alstott (IARPA) | |
| Morning Break (10:10-10:30) | ||||
| ActEV Challenge Results & Best Performer Presentations (10:30-12:10) | ||||
| Invited Talk | 10:30 | ActEV18: Human Activity Detection Evaluation for Extended Videos | Yooyoung Lee, Jon Fiscus, Afzal Godil, David Joy, Andrew Delgado, Jim Golden (NIST) | |
| Oral Paper | 10:55 | Recent Results from a Proposal-based Approach for Action Detection in Untrimmed Videos | Carlos Castillo | |
| Oral Paper | 11:20 | Object-Centric Spatio-Temporal Activity Detection | Quanfu Fan | |
| Oral Paper | 11:45 | Novel Activities Detection Algorithm in Extended Videos | Li Yao, Ying Qian | |
| Video Analytics Session (12:10-13:00) | ||||
| Oral Paper | 12:10 | Supporting Real-time Public Safety Analytics in the NIST PSCR Public Safety Analytics Portfolio | John Garofolo | |
| Oral Paper | 12:35 | A Continuous, Full-scope, Spatio-temporal Tracking Metric based on KL-divergence | Terry Adams | |
| Lunch Break (13:00-14:30) | ||||
| Activity Detection/Recognition Session (14:30-17:00) | ||||
| Invited Talk | 14:30 | View Invariant and Few Shot Action Recognition | Mubarak Shah (University of Central Florida) | |
| Afternoon Break & Poster Session (15:00-16:15) | ||||
| Poster Presentation | – | Joint Event Detection and Description in Continuous Video Streams | Huijuan Xu, Boyang Li, Vasili Ramanishka, Leonid Sigal, Kate Saenko | |
| Poster Presentation | – | A Scalable System Architecture for Activity Detection with Simple Heuristics | Rico Thomanek, Christian Roschke,Tony Rolletschke, Manuel Heinzig, Maximilian Eibl, Benny Platte, Robert Manthey, Matthias Vodel, Frank Zimmer, Marc Ritter | |
| Poster Presentation | – | Synthesizing Attributes with Unreal Engine for Fine-grained Activity Analysis | Tae Soo Kim, Mike Peven, Weichao Qiu, Alan Yuille, Gregory D. Hager | |
| Poster Presentation | – | Fine-grained Action Detection in Long Surveillance Videos | Sathyanarayanan Aakur, Daniel Sawyer, Sudeep Sarkar | |
| Oral Paper | 16:15 | Minding the Gaps in a Video Action Analysis Pipeline | Jia Chen, Jiang Liu, Junwei Liang, Ting-Yao Hu, Wei Ke, Wayner Barrios, Dong Huang, Alexander Hauptman | |
| Panel | 16:40 | ActEV & ActEV-PC Group Discussion | ||
| Closing Remarks ( 17:00 ) | ||||
Terry Adams, Former IARPA PM for DIVA
Jonathan Fiscus, NIST
Afzal Godil, NIST
Anthony Hoogs, Kitware, Inc.
Reuven Meth, Engility
For information about the workshop please email hadcv@actev.live.
All Day (Monday)
december
No Events
november
15nov4:00 pm5:00 pmSIAM Student Chapter Industry Series: Dr. Rachel Clipp, R&D Staff, Kitware Inc
Staff R&D Engineer Rachel Clipp will discuss modeling and simulation work on the medical computing team to illustrate a potential career for math and applied math majors.
Staff R&D Engineer Rachel Clipp will discuss modeling and simulation work on the medical computing team to illustrate a potential career for math and applied math majors.
(Thursday) 4:00 pm - 5:00 pm EST
SAS 4201
North Carolina State University
13nov8:00 am5:10 pmJupyterDay in the Triangle
Technical Leader Matthew McCormick will present "itk-jupyter-widgets: Interactive 3D and 2D Image Visualization for Jupyter" from 11 to 11:25 a.m. EST.
Technical Leader Matthew McCormick will present “itk-jupyter-widgets: Interactive 3D and 2D Image Visualization for Jupyter” from 11 to 11:25 a.m. EST.
(Tuesday) 8:00 am - 5:10 pm EST
The Carolina Club at UNC
150 Stadium Drive, Chapel Hill, NC 27514
Booth • Team Members •
Booth • Team Members • Hiring • Activities
Kitware will host a booth at the exhibition from Monday, November 12th, to Thursday, November 15th. Meet ParaView, VTK and CMake developers; grab giveaways; and hear booth talks.
Monday, November 12th
What’s New with Kitware & HPC: High-performance Visualization and Analysis with ParaView
7 p.m. EST • Patrick O’Leary
Tuesday, November 13th
What’s New with Kitware & HPC: High-performance Visualization and Analysis with ParaView
11 a.m. EST • Patrick O’Leary
Girder: A New Extensible System for Large Data and Analytics Management
1 p.m. • Jeff Baumes
CMake: Building Improvements, followed by an ask the experts session with CMake developers
2 p.m. • Robert Maynard
Visualization on the Web with ParaView and VTK
3 p.m. • Sébastien Jordain
Ray Tracing Comes to ParaView
4 p.m. • Dave DeMarle
Wednesday, November 14th
In Situ Analysis and Visualization (ParaView Catalyst)
11 a.m. EST • Patrick O’Leary and David Thompson
What’s New in ParaView, followed by an ask the experts session with ParaView developers
1 p.m. • Utkarsh Ayachit
Virtual Reality with VTK and ParaView
2 p.m. • Ken Martin
Creating a Web-based Simulation Environment
3 p.m. • Sébastien Jordain
Computational Model Builder (CMB)
4 p.m. • David Thompson
VTK and ParaView in Virtual Reality
If you are interested in working on VTK and/or ParaView as a member of our team, please let us know when you stop by our booth or see us at one of the activities in which we are involved. For more information on our jobs or work environment, please visit https://jobs.kitware.com.
Sunday, November 11th
David Thompson will present at the tutorial SENSEI Cross-Platform View of In Situ Analytics.
Monday, November 12th
Patrick O’Leary and David Thompson will attend the workshop In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (ISAV 2018). Patrick is the at-large chair and a member of the organizing committee. David is a member of the programming committee.
Tuesday, November 13th
Dave DeMarle and Utkarsh Ayachit will be part of Meet & greet ParaView developers and experts at the Department of Energy’s booth (2433) from 1 to 2 p.m. CST.
Dave DeMarle will talk about ParaView and OSPRay at Intel’s booth (3223) at 3 p.m.
Wednesday, November 14th
Dave DeMarle and Utkarsh Ayachit will be part of Meet & greet ParaView developers and experts at the Department of Energy’s booth (2433) from 5 to 6 p.m. CST.
John Westbrook will recruit at the Student/Postdoc Job Fair, which will take place from 10 a.m. to 3 p.m. Open positions include scientific visualization developer in Santa Fe, NM, and Clifton Park, NY.
november 11 (Sunday) - 16 (Friday)
Kay Bailey Hutchison Convention Center
650 S Griffin St, Dallas, TX 75202
Technical Leader Marcus Hanwell is involved in multiple activities. On Thursday, November 1st, he will present "Open Chemistry and Jupyter: Platform for Data Mining and
Technical Leader Marcus Hanwell is involved in multiple activities.
On Thursday, November 1st, he will present “Open Chemistry and Jupyter: Platform for Data Mining and Machine Learning.” The presentation will take place from 8 to 8:15 a.m. EDT in the Data Mining and Machine Learning in Molecular Sciences II session. The session will be held in room 308 of the convention center.
Later on Thursday, from 4:55 to 5:10 p.m. EDT, he will present “Open Chemistry, Avogadro and Jupyter: User Friendly Frontends.” The presentation is part of the session Making Molecular Simulation a Mainstream Chemical Engineering Tool. It will also take place in room 308.
October 28 (Sunday) - November 2 (Friday) EDT
David L. Lawrence Convention Center
1000 Fort Duquesne Blvd, Pittsburgh, PA 15222
october
Technical Leader Marcus Hanwell is involved in multiple activities. On Thursday, November 1st, he will present "Open Chemistry and Jupyter: Platform for Data Mining and
Technical Leader Marcus Hanwell is involved in multiple activities.
On Thursday, November 1st, he will present “Open Chemistry and Jupyter: Platform for Data Mining and Machine Learning.” The presentation will take place from 8 to 8:15 a.m. EDT in the Data Mining and Machine Learning in Molecular Sciences II session. The session will be held in room 308 of the convention center.
Later on Thursday, from 4:55 to 5:10 p.m. EDT, he will present “Open Chemistry, Avogadro and Jupyter: User Friendly Frontends.” The presentation is part of the session Making Molecular Simulation a Mainstream Chemical Engineering Tool. It will also take place in room 308.
October 28 (Sunday) - November 2 (Friday) EDT
David L. Lawrence Convention Center
1000 Fort Duquesne Blvd, Pittsburgh, PA 15222
25octAll Day262018 NIST/CHiMaD Microscopy Data Conference
On Thursday, October 25th, from 9 to 9:20 a.m. CDT, Technical Leader Marcus Hanwell will provide a plenary talk. He is on the conference's organizing committee.
On Thursday, October 25th, from 9 to 9:20 a.m. CDT, Technical Leader Marcus Hanwell will provide a plenary talk. He is on the conference’s organizing committee.
october 25 (Thursday) - 26 (Friday) CDT
Northwestern University
22octAll Day26NOBUGS 2018New Opportunities for Better User Group Software
Technical Leader Marcus Hanwell will present "Tomviz: Open Source 3D Graphical Tool for Reproducible Tomography" from 1 to 1:25 p.m. EDT Wednesday, October 24th.
Technical Leader Marcus Hanwell will present “Tomviz: Open Source 3D Graphical Tool for Reproducible Tomography” from 1 to 1:25 p.m. EDT Wednesday, October 24th.
october 22 (Monday) - 26 (Friday) EDT
Brookhaven National Laboratory, Computational Science Initiative, 2nd Floor Training Room
725 Brookhaven Ave, Shirley, NY 11967, USA
september
23sepAll Day29CppCon 2018The C++ Conference
Principal Engineer and CMake release cycle manager Robert Maynard will attend. On Tuesday, September 25th, from 20:30 to 22:00, he will represent CMake at Tool Time.
Principal Engineer and CMake release cycle manager Robert Maynard will attend. On Tuesday, September 25th, from 20:30 to 22:00, he will represent CMake at Tool Time.
september 23 (Sunday) - 29 (Saturday) PST
Meydenbauer Convention Center
11100 NE 6th St
About • Dates • Organizers • Workshop Program
About • Dates • Organizers • Workshop Program • Paper Submission Instructions
The premise of this half-day MICCAI workshop is that for the full potential of point-of-care ultrasound (POCUS) to be realized, POCUS systems must be approached as if they were new diagnostic modalities, not simply as inexpensive, portable ultrasound image systems.
Building on the highly successful MICCAI 2017 POCUS Workshop, this workshop is dedicated to the research and clinical evaluations of the technologies specific to POCUS. POCUS involves automated data analyses, rugged hardware, and specialized interfaces to guide novice users to properly place and manipulate an ultrasound probe and interpret the returned ultrasound data. In particular, the output of a POCUS system should typically be quantitative measures and easy-to-understand reformulations of the acquired data, not b-mode images; it should be assumed that the expertise needed to interpret b-mode images will not be readily available at the points of care.
Image analysis algorithms as well as tracking and systems engineering are essential to POCUS applications. Example applications include detection of intra-abdominal bleeding by emergency medical services (EMS) personnel for patient triage at the scene of an accident, diagnosis of increased intra-cranial pressure by medics using computer-assisted measurement of optic nerve sheath diameter, and monitoring of liver tissue health in the homes of at-risk patients. At the workshop, attendees will learn from leaders in POCUS research via oral presentations as well as via live demonstrations and a panel discussion.
The workshop aims to support and grow the community of POCUS researchers at the Medical Image Computing and Computer Assisted Intervention (MICCAI) conference. Accordingly, the workshop represents a blending of MIC and CAI.
Topics of interest include the following:
<p”>The organization of this workshop is supported, in part, by NIH/NIBIB and NIH/NIGMS via 1R01EB021396-01A1: Slicer+PLUS: Point-of-Care Ultrasound
June 11 – Submission Deadline – If you need additional time, please email stephen.aylward@kitware.com and provide a title and abstract as a preliminary submission. Completed submissions must be received by June 18th.
July 7 – Notification of Acceptance
July TBD – Camera-Ready Papers Due, with Confirmed Workshop Registration
August 1 – Final Program Published
September 16 – Half-Day Workshop
The workshop organizers represent academic, industry, and clinical leaders in the field of POCUS. InnerOptic is a medical device innovator for ultrasound applications. The clinical leaders from Washing University, Children’s National medical Center, and Duke University Hospitals include emergency medicine physicians, trauma surgeons, and pediatric orthopedic surgeons. Queens University, Johns Hopkins University (JHU), Brigham and Women’s Hospital (BWH), and Kitware have open-source packages that are being adopted to POCUS applications.
The workshop organizers are as follows:
(Download MICCAI POCUS Workshop Program-v2.pdf)
Submission Deadline
June 11, 2018 Midnight ET (GMT-4)
Submissions Instructions
The organizing committee will judge the papers based on potential impact on patient care, innovation, and methodological soundness. MICCAI standards regarding conflicts of interest during review, duplicate publications, and scientific/human-subject ethics will be maintained.
Each paper should be submitted via email to stephen.aylward@kitware.com and should include the following:
Live Demonstrations
In addition to oral presentations, the workshop will feature live demonstrations. Papers accepted for oral presentation are automatically eligible for live demonstrations. Additionally, papers can be submitted and/or chosen specifically for live demonstrations. The live demonstrations are anticipated to include not only image analysis demonstrations but also POCUS probes connected to laptops to demonstrate innovations for 1) embedded tracking systems, 2) open-APIs and toolkits for creating mobile applications for POCUS, and 3) Hololens for ultrasound intervention guidance.
Publication
Springer has agreed to publish our papers as part of the MICCAI workshop proceedings. Papers will appear in a volume in Springer’s Lecture Notes in Computer Science (LNCS) series.
september 16 (Sunday) - 20 (Thursday) CET
Granada Exhibition and Conference Centre
Palacio de Congresos de Granada, S/N, Paseo del Violón, 18006 Granada, Spain
The MICCAI Society
Main MICCAI Conference Events Sept. 16 Academia and & Industry Event Senior Director of Strategic Initiatives Stephen Aylward is an invited panel member. Sept. 17 Samuel Gerber
Academia and & Industry Event
Senior Director of Strategic Initiatives Stephen Aylward is an invited panel member.
Samuel Gerber will present the paper “Exploratory Population Analysis with Unbalanced Optimal Transport” during Oral Session V-B (Neuroimaging). Please see the schedule for additional information.
Kitware is the sponsor of the MICCAI Young Scientist Publication Impact Award.
Point-Of-Care Ultrasound : Algorithms, Hardware, and Applications
Stephen Aylward is the workshop Chair.
Hands-on Tutorial on Rapid Prototyping of Ultrasound-guided intervention Systems
Stephen Aylward is giving an invited talk “Point-of-care ultrasound applications build on open-source software.”
Brain-Lesion workshop: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries + BraTS + ISLES
Poster presentation of the paper “Patient-Specific Registration of Pre-Operative and Post-Recurrence Brain Tumor MRI Scans”
Workshop on Shape Analysis and Geometric Learning
Technical Leader Beatriz Paniagua is an organizer.
Kitware is the sponsor of the best paper award.
Tutorial On Publishing, GRant writing and Academic career Development
Stephen Aylward is giving the invited talk “Grant writing 101.”
Workshop and Challenge on Skin Image Analysis + CHALLENGE 1
Senior R&D Engineer Brian Helba is a ISIC 2018 Challenge co-chair.
The image archive for the challenge uses Girder, an open source platform for data and analytics.
september 16 (Sunday) - 20 (Thursday) CEST
Palacio de Congresos de Granada
Paseo del Violón, 18006 Granada, Spain
august
Principal Engineer Chris Harris will present "Reproducible quantum chemistry in Jupyter" on Thursday, August 23rd, from 11:55 a.m. to 12:35 p.m. EDT.
Principal Engineer Chris Harris will present “Reproducible quantum chemistry in Jupyter” on Thursday, August 23rd, from 11:55 a.m. to 12:35 p.m. EDT.
august 21 (Tuesday) - 24 (Friday) EDT
New York Hilton Midtown
1335 Avenue of the Americas
05augAll Day09Microscopy & Microanalysis 2018
Technical Leader Marcus Hanwell will attend the event. At Kitware, he is the lead developer of Tomviz, a visualization application. It will be showcased
Technical Leader Marcus Hanwell will attend the event. At Kitware, he is the lead developer of Tomviz, a visualization application. It will be showcased on Tuesday, August 7th, at 2:15 p.m. EST in “Real-Time Tomography with Interactive 3D Visualization Using tomviz.”
august 5 (Sunday) - 9 (Thursday) EST
The Baltimore Convention Center
1 W Pratt St
july
09julAll Day15SciPy 2018Scientific Computing with Python
Members of the medical computing team will take part in two presentations, one on image processing and the other on data science. ITK: The Insight Segmentation and
Members of the medical computing team will take part in two presentations, one on image processing and the other on data science.
july 9 (Monday) - 15 (Sunday) CST
AT&T Executive Education and Conference Center
june
30jun10:00 am5:00 pmWBIR 2018 Hackathon
Matthew McCormick will lead a hackathon titled ITK Open Science Grand Challenge. The hackathon will begin June 30, 2018 (after the WBIR 2018 conference) at 10 a.m. McCormick
Matthew McCormick will lead a hackathon titled ITK Open Science Grand Challenge. The hackathon will begin June 30, 2018 (after the WBIR 2018 conference) at 10 a.m. McCormick will be joined by Dženan Zukić, who helps to maintain the Insight Segmentation and Registration Toolkit (ITK).
(Saturday) 10:00 am - 5:00 pm CET
Leiden University Medical Center LUMC
Albinusdreef 2, 2333 ZA Leiden, Netherlands
25junAll Day272nd NYU Biomedical and Biosystems Conference
Senior Director of Strategic Initiatives Stephen Aylward will present Pre-hospital Applications of Computer-Augmented Point-of-Care Ultrasound.
Senior Director of Strategic Initiatives Stephen Aylward will present Pre-hospital Applications of Computer-Augmented Point-of-Care Ultrasound.
june 25 (Monday) - 27 (Wednesday) EST
NYU Tandon School of Engineering
6 MetroTech Center
NYU Abu Dhabi Institute
20jun10:00 am4:00 pmAMA (Ask Me Anything) on CMake
Bring your questions on CMake, and join Principal Engineer Robert Maynard on Reddit's r/cpp.
Bring your questions on CMake, and join Principal Engineer Robert Maynard on Reddit’s r/cpp.
(Wednesday) 10:00 am - 4:00 pm
18jun(jun 18)1:00 am22(jun 22)1:00 amComputer Vision and Pattern Recognition (CVPR) 2018
Kitware will be actively participating in this year’s Computer Vision
Computer vision team members demonstrate software solutions at CVPR 2017.
Kitware will be actively participating in this year’s Computer Vision and Pattern Recognition (CVPR) Conference, being held in Salt Lake City Utah from June 18-22. The Computer Vision team has had a long-term commitment to CVPR and this year many Kitware representatives will be in attendance including the Senior Director of Computer Vision, Anthony Hoogs, Ph.D., and the Director of Computer Vision, Matt Turek, Ph.D. Our extensive experience in utilizing deep learning and computer vision to develop tools for image and video scene recognition, object detection and tracking, and image enhancement in various domains including aerial video, ground-level video, underwater video and satellite imagery, will be addressed in invited talks at workshops and a tutorial. Kitware staff will continue their high-level of participation as workshop chairs, organizers, silver sponsors, invited speakers, and presenters. We will also have a booth in the exhibit to share and discuss Kitware’s computer vision and deep learning techniques supporting the open source software community and our customers and collaborators. Be sure to check out the full details below for Kitware’s participation in CVPR 2018 so you don’t miss this great opportunity to meet with our team.
Event Details:
CVPR 2018 is “the premier annual computer vision event” attracting an “international community of scholars whose collective efforts are embodied in one of the finest conferences in all of Computer Science”. This event includes the main program with 979 accepted papers covering state-of-the-art work in computer vision. In addition to the main program, 21 tutorials, 48 workshops, CVPR’s annual doctoral consortium, and an exhibition of over 115 companies provides an exceptional venue and value to industry researchers, academics, and students. The event will provide information relevant to computer vision technology applicable to industry, academia, and government; providing a venue that promotes collaboration, research and development, and insight into computer vision applications and technology. Make sure to keep an eye on the event schedule as more information is published and solidified so as not to miss out on opportunity to contribute to this cutting edge and ever evolving community.
Kitware Participation:
Kitware is a Silver Sponsor at this year’s CVPR 2018. Kitware sponsors this conference each year to support this community, recruit computer vision professionals, and to continue collaboration and engagement. Anthony Hoogs, Ph.D., the Senior Director of Computer Vision, was an Area Chair providing his extensive expertise in computer vision and deep learning to ensure the selection of the highest quality papers.
Dr. Hoogs is a Co-Chair and the primary organizer of the CVPR Workshop and Challenge on Automated Analysis of Marine Video for Environmental Monitoring. This workshop is scheduled for Friday, June 22, and will include “experts and researchers interested in learning about the challenges, current work, and opportunities in marine video analytics, including video captured from both under and above water”. Monitoring fish, shellfish, marine mammals, coral reefs, bottom habitats, and other wildlife has become of great interest to oceanographers, biologists, and others. Maritime video collection is expanding exponentially as professionals work to determine new ways to utilize this data for marine science and oceanography. The challenges in this environment are vast and many experts and researchers are diligently working to overcome these challenges to enable increased automated video processing. Currently, marine video is annotated manually, resulting in a tremendous bottleneck to studying marine biological problems such as fish population estimates. Under NOAA funding, Kitware is developing an open-source framework and toolkit, Video and Imagery Analytics for the Marine Environment (VIAME), to integrate analytics algorithms from the community into an operational capability for NOAA.
In addition to four invited talks and four selected papers, this Workshop will feature a data challenge in this domain. Large amounts of image data from a variety of underwater cameras and environments has been provided and annotated by the National Oceanic and Atmospheric Administration (NOAA). Challenge entries must detect and classify fish and shellfish in the imagery. Results will be scored and ranked by Kitware, and the top three entries will present their solutions at the workshop. Check out the Challenge website for more information and access the training and test data.
CVPR 2018 Workshop: Automated Analysis of Marine Video for Environmental Monitoring
Dr. Hoogs will be one of three keynote speakers at the CVPR Workshop on Bridging the Gap between Computational Photography and Visual Recognition: the UG2 Prize Challenge on June 18. This Challenge will bring together a variety of computer vision experts to address general applications related to computational photography and scene understanding. Anthony will share Kitware’s long history of research in super-resolution using 3D models and, more recently, deep learning for modality transfer. See the Vision Team webpage for more information on Kitware’s efforts in this area.
Computer Vision using deep learning can advance satellite image analysis
Matt Leotta, Ph.D., a Technical Lead within Kitware’s Computer Vision team, is a member of the DeepGlobe Technical Team for the CVPR Workshop on DeepGlobe: A Challenge for Parsing the Earth through Satellite Images and Kitware is a gold sponsor. This workshop is being held on June 18 and HakJae Kim, the IARPA Program Manager for the CORE3D program will be one of the keynote speakers. Satellite imagery is a powerful source of information that is now receiving increased attention in the vision research community due to increased availability of public datasets and the commercial interest in extracting information from satellite images. This Satellite Challenge is an opportunity to “bring together a diverse set of researchers to advance the state-of-the-art in satellite image analysis” and garner more attention. The Challenge will focus on three tracks: (1) road extraction; (2) building detection; and (3) land cover classification. Researchers will utilize novel computer vision techniques, approaches under review, and already published methods on available datasets to learn the expected urban elements for each track. Make sure to keep an eye on this workshop to attend and contribute to the evolving computer vision applications for satellite imagery across different industries.
Matt Turek, Ph.D., the Director of Computer Vision will present at the CVPR Tutorial on Software Engineering in Computer Vision Systems. This tutorial will be held on June 22. Make sure to check out the Tutorial Program for updates on times and other valuable information.
During the main conference and exhibition, Kitware’s computer vision team members including Anthony Hoogs, Ph.D., Matt Turek, Ph.D., Matt Leotta, Ph.D., Eran Swears, Ph.D., Chengjiang Long, Ph.D., Eric Smith, Ph.D., and Libby Rose will be available at booth number 1036 to discuss and demonstrate Kitware’s computer vision expertise.. You will have the opportunity to see the KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, Kitware’s open source software toolkit that contains advanced computer vision tools to perform object detection and tracking; activity, event, and threat detection; scene understanding; and social multimedia analysis. In addition, our work on the Video and Image Analytics for a Marine Environment (VIAME) toolkit will be demonstrated as we are continuously working with NOAA to develop open source software for fish monitoring.
Kitware’s Computer Vision team recognizes how valuable advancing computer vision and deep learning is in order to greatly improve and push capabilities beyond their limits supporting Academia, Industry, and the DoD and Intelligence Communities. Our main focus areas include deep learning, object detection and tracking, image and video scene understand, image and video forensics, social multimedia analysis, complex activity, event, and threat detection, 3D vision, and super resolution; however we are not limited and continuously explore and participate in other research and development for our customers and our partners. We partner with many academic institutions such as Harvard, Massachusetts Institute of Technology, Cornell University, University of California, Berkley, and Texas A&M University. We have worked with various agencies, such as the Defense Advanced Research Project Agency (DARPA), Air Force Research Laboratory (AFRL), the Office of Naval Research (ONR), Intelligence Advanced Research Projects Activity (IARPA) and the U.S. Air Force. Kitware has developed and deployed an operational Wide Area Motion Imagery (WAMI) tracking systems for Intelligence, Surveillance, and Reconnaissance (ISR) in theatre, providing analysts with exploitation capabilities that fuse sensors, platforms, and people. Our work with DARPA on Squad-X has led to extensive research, development, and deployment of robust methods to more accurately identify and track objects and people, delivered straight to the soldier on the ground. Our work on the Visual Global Intelligence and Analytics Toolkit (VIGILANT), funded by the Air Force Research Laboratory (AFRL) via the Small Business Innovation Research (SBIR) program is a collaborative effort with Rochester Institute of Technology’s (RIT’s) Digital Imaging and Remote Sensing (DIRS) and Real Time Vision and Image Processing (RTVIP) Labs and the Middlebury Institute of International Studies at Monterey, James Martin Center for Nonproliferation Studies to develop object and object-based change detection and unstructured change detection in satellite imagery. In addition, Kitware is continually improving their KitWare Image and Video Exploitation and Retrieval (KWIVER) toolkit, which is an open source framework for video and image analytics built from Kitware’s years of experience developing analytic systems for various customers in multiple domains. Please visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.
Contact:
Please reach out to computervision@kitware.com to schedule meetings throughout this event. We are looking forward to engaging with this community and sharing information on Kitware’s ongoing research and capability development in computer vision and deep learning as well as our cutting-edge open source vision software, KWIVER and VIAME.
18 (Monday) 1:00 am - 22 (Friday) 1:00 am MDT
Calvin L. Rampton Salt Palace Convention Center
100 S W Temple, Salt Lake City, UT 84101
06jun7:00 pm10:00 pmThe Joy of CMake, and Property Testing!The Joy of Programming Meetup
CTO Bill Hoffman will talk about CMake's history, Modern CMake and CDash.
CTO Bill Hoffman will talk about CMake’s history, Modern CMake and CDash.
(Wednesday) 7:00 pm - 10:00 pm EST
Optoro @ Metro Center
1001 G St NW, 12th floor