Category: Current Publications
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Data-Driven Goal Generation for Integrated Cognitive Systems
We describe our Meta-cognitive, Integrated, Dual-Cycle Architecture (MIDCA), whose purpose is to provide agents with a greater capacity for acting in an open world and dealing with unexpected events. We...
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Forecasting Action through Contact Representations from First Person Video
Human actions involving hand manipulations are structured according to the making and breaking of hand-object contact, and human visual understanding of action is reliant on anticipation of contact as is...
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Mid-Vision Feedback for Convolutional Neural Networks
Feedback plays a prominent role in biological vision, where perception is modulated based on agents’ continuous interactions with the world, and evolving expectations and world model. We introduce a novel...
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LEAP: LLM-Generation of Egocentric Action Programs
We introduce LEAP (illustrated in Figure 1), a novel method for generating video-grounded action programs through use of a Large Language Model (LLM). These action programs represent the motoric, perceptual,...
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Training CADe algorithms with synthetic datasets: augmenting clinical data for improved lung nodule detection
Synthetic datasets hold the potential to serve as cost-effective alternatives to clinical data, potentially aiding in mitigating the biases in clinical data. This paper presents a novel method that utilizes...
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Exploring synthetic datasets for computer-aided detection: a case study using phantom scan data for enhanced lung nodule false positive reduction
Synthetic datasets hold the potential to offer cost-effective alternatives to clinical data, ensuring privacy protections and potentially addressing biases in clinical data. We present a method leveraging such datasets to...
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Image Surveillance Assistant Architecture: Status and Planned Extensions
We describe our research on integrating deep learning with artificial intelligence techniques in the context of an imagery surveillance prototype designed to automatically identify imagery of interest to a user....
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Learning for action-based scene understanding
Action plays a central role in our lives and environments, yet most Computer Vision methodsdo not explicitly model action. In this chapter we outline an action-centric framework whichspans multiple time...
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Increasing the Runtime Speed of Case-Based Plan Recognition
We present PPC (Plan Projection and Clustering), an algorithm that creates a plan hierarchy for case-based plan recognition systems. PPC is motivated by a desire to improve the response time...
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Image Surveillance Assistant
Security watchstanders who monitor multiple videos over long periods of time can be susceptible to information overload and fatigue. To address this, we present a configurable perception pipeline architecture, called...