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Semantically Accurate Super-Resolution Generative Adversarial Networks
Tristan Frizza, Donald G. Dansereau, Nagita Mehr Seresht +1
This work addresses the problems of semantic segmentation and image super-resolution by jointly considering the performance of both in training a Generative Adversarial Network (GA…
Multiplexed Illumination for Classifying Visually Similar Objects
Taihua Wang, Donald G. Dansereau
Distinguishing visually similar objects like forged/authentic bills and healthy/unhealthy plants is beyond the capabilities of even the most sophisticated classifiers. We propose t…
LiFF: Light Field Features in Scale and Depth
Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on. Unfortunately these fail in the presence of challenging light transport effe…
Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion
Dorian Tsai, Donald G Dansereau, Thierry Peynot +1
Robots must reliably interact with refractive objects in many applications; however, refractive objects can cause many robotic vision algorithms to become unreliable or even fail,…