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.


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 visionDr. 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.

On January 10, Kitware will provide two (2) presentations related to relevant and ongoing work within computer vision.  Dr. Chengjiang Long will present on ‘Deep Neural Networks in Fully Connected CRF for Image Labeling with Social Network Metadata’.  This will be held in the Oral Session-5A, Multimedia Applications, Stereo Processing, Virtual and Augmented Reality, Vision Systems and Applications, which begins at 1:00 pm.  Details discussing a method for predicting image labels by fusing image content descriptors with social media context of each image will be provided.  This method is based on a novel fully connected Conditional Random Field (CRF) framework, where each node is an image, and consists of two deep Convolutional Neural Networks (CNN) and one Recurrent Neural Network (RNN) that model both textual and visual node/image information.
Also on January 10, Dr. Matt Brown will present on ‘Multi-Modal Detection Fusion on a Mobile UGV for Wide-Area, Long-Range Surveillance’.  Matt will discuss a self-contained, mobile surveillance system designed to remotely detect and track people in real-time, at long ranges and over a wide field of view in cluttered urban and natural settings.  Information will be shared quantifying the benefits that multi-sensor, multi-detector fusion brings to the problem of detecting people in challenging outdoor environments with shadows, occlusions, clutter, and variable weather conditions.  This will be held in the Oral Session-6A, Computational Photography, Human-Computer Interaction, Security/Surveillance, starting at 3:20 pm.

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.

Computer Vision at 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.  Make sure to visit our computer vision and KWIVER webpages for more information into our key focus areas and experience.


Please reach out to 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.

Physical Event

Hilton Waikoloa Village
Waikoloa Beach Dr, Waikoloa Village, HI 96738

Institute of Electrical and Electronics Engineers (IEEE) and Technical Committee on Pattern Analysis and Machine Intelligence (PAMI-TC)