CVPR is the premier annual computer vision conference in the world and it’s where you will find the largest gathering of computer vision, machine learning, and artificial intelligence professionals. Kitware’s computer vision team has had a long-term commitment to CVPR and although this year’s event will be a virtual conference due to COVID-19, we look forward to staying engaged and interacting with this community.
Kitware is actively participating in CVPR 2020 and is proud to have a paper accepted at this highly selective conference. In addition, we are helping to organize the full day workshop on media forensics and are sponsoring the EarthVision workshop. Finally, our senior director of computer vision served as an area chair to assist with the main conference paper selection. The event details are listed below. For more information regarding our involvement at CVPR 2020 and our deep-rooted connection to this community, visit our blog.
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-move Forgery Detection and Localization
Manipulated images are being used for nefarious purposes to hide content or to duplicate certain objects through copy-move operations. Well-crafted forgery in images can be very challenging for both a human or a machine to discover (e.g. When an image patch with a uniform background is copied to hide an object). In this paper, we propose a Generative Adversarial Network with a dual-order attention model to detect and localize copy-move forgery. You can read the full paper here.
Paper Presentation with Live Q&A: Tuesday, June 16, 2020, from 4-6 PM and Wednesday, June 17, 2020 4-6 AM PT
Authors: Ashraful Islam, Chengjiang Long, Arslan Basharat, and Anthony Hoogs
EarthVision: Large Scale Computer Vision for Remote Sensing Imagery
Computer vision, machine learning, and signal/image processing are all critical components to Earth observation and remote sensing. Together, they provide large-scale, homogeneous information about processes occurring at the surface of the Earth that can have a big impact on human society, economy, industry, and the planet. This workshop aims to raise awareness of this highly challenging and quickly evolving field of research and to foster collaboration between the computer vision and Earth observation communities. Click for more information about the workshop.
Date: Sunday, June 14, 2020 (full day)
Workshop on Media Forensics
Media forensics has recently become a topic of interest within the computer vision community as a result of the increasing prevalence of fabricated media spreading misinformation. And now, with the emergence of more sophisticated ML and CV techniques, media forensics has become a broad and prominent area of research. That’s why it is critical to keep advancing on all fronts of media forensics, from the detection of manipulations to biometric implications, misrepresentation/spoofing, and more.
Kitware Co-organizers: Arslan Basharat, assistant director of computer vision; Scott McCloskey, assistant director of computer vision
To learn more about Kitware’s computer vision work, please reach out to email@example.com. We look forward to engaging with this community and sharing information about Kitware’s ongoing research and capability development in computer vision and deep learning, as well as our cutting-edge open source software.