The PBVS (previously OTCBVS) workshop is to highlight cutting edge advances and state-of-the-art work being made in the exponentially growing field of PBVS along its three main axes: Sensing/Imaging Technologies, Applications and Systems , and Theory/Algorithms. This field involves deep theoretical research in sub-areas of image processing, machine vision, pattern recognition, machine learning, robotics, and augmented reality within and beyond the visible spectrum. It also presents a suitable framework for building solid advanced vision based systems.
"Observing Humans in Smart Spaces: A Multi Perspective and Multi Modal Approach"
"Target detection and recognition in hyperspectral imagery"
"An Overview of Visual Tracking in EO and IR Imagery"
"Object Detection, Tracking and Identification Using Hyperspectral Video"
"Multi-frame Data Association with Higher-Order Cost Functions"
"Analyzing the Flight Behavior of Bats in Thermal Infrared Video"
"Towards a Unified Understanding of Image Quality: Quantifying Spatial, Temporal, and Spectral Information for Computer Vision"
"Applying GPU-accelerated Deep Learning beyond the visible spectrum"
"Hyperspectral Imaging Remote Sensing: Progress and Challenges"
"Transfer Learning for Multi-Task Perception and Robotics"
"Multi-phase CT Imaging+AI Enabled Deep Precision Medicine Solutions for Pancreatic Cancer: Multi-institutional Screening, Precision Diagnosis and Prognosis"
"Deep Learning with Depth Perception - Representation Matters"
"Adversarial machine learning: Recent developments"