Kitware is sponsoring this year’s 18th IEEE Winter Conference on Applications of Computer Vision (WACV)< in Lake Tahoe, CA, March 12-14. In addition, Anthony Hoogs, Ph.D., the Senior Director of Computer Vision at Kitware, is a General Co-Chair and is on the Steering Committee.
This year’s WACV18 is the largest WAVC to date; jointly sponsored by the IEEE Society and the IEEE Biometrics Council. 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 recently published WACV18 program schedule for the list of events.
Kitware is a Silver Sponsor at this year’s WACV18. 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 at Kitware, is a General Co-Chair and is on the Steering Committee; serving WACV from a professional, intellectual, and organizational standpoint in order to help plan, organize, and cultivate the best environment for this community. Kitware has 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 Computer Vision group 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 understanding, 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. 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.
Please reach out to firstname.lastname@example.org to schedule meetings throughout this event. Anthony Hoogs will be on-hand for in depth conversations. 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.