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Lee Stearns

Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.

2 papers

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AAAI Conference 2022 Short Paper

Transformation of Emotions in Images Using Poisson Blended Generative Adversarial Networks (Student Abstract)

Aristidis Dernelakis
Jungin Kim
Kevin Velasquez
Lee Stearns

We propose a novel method to transform the emotional content in an image to a specified target emotion. Existing techniques such as a single generative adversarial network (GAN) struggle to perform well on unconstrained images, especially when data is limited. Our method seeks to address this limitation by blending the outputs from two networks to better transform fine details (e. g. , faces) while still operating on the broader styles of the full image. We demonstrate our method’s potential through a proof-of-concept implementation.

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AAAI Conference 2021 System Paper

The Active Sensing Testbed

Lee Stearns
Neil Fendley
Ashley J. Llorens

The Active Sensing Testbed (AST) is a novel framework for research in machine perception and world-view rea-soning. The AST supports exploratory development of perception systems that can build internal models of the world by combining multi-view and multi-modal analyt-ics, utilize these models to form hypotheses about a sce-ne, and potentially take action to fill in gaps in knowledge or make predictions about future world states. As a modular software framework, the AST is in-tended to lower the barrier to entry for researchers and developers in applying state-of-the-art computer vision techniques to real-world problems.

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