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Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks.

, , , , , , , , , and . SMC, page 3492-3497. IEEE, (2018)

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Image Fusion Metrics: Evolution in a Nutshell., , , , and . UKSim, page 443-450. IEEE, (2013)SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity., , and . SMC, page 1234-1238. IEEE, (2019)Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture., , , , , and . Comput. Methods Programs Biomed., (2019)Measuring the likelihood of VR visual fatigue through ocular biomechanics., and . Displays, (2021)Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images., , , and . ITSC, page 1-6. IEEE, (2017)Early intent prediction of vulnerable road users from visual attributes using multi-task learning network., , and . SMC, page 3367-3372. IEEE, (2017)Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks., , , , , , , , , and . SMC, page 3492-3497. IEEE, (2018)Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks., , and . Australasian Conference on Artificial Intelligence, volume 11320 of Lecture Notes in Computer Science, page 284-295. Springer, (2018)Heteroskedasticity Variance Index., , , and . UKSim, page 135-141. IEEE Computer Society, (2012)Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning., , and . AI, volume 13728 of Lecture Notes in Computer Science, page 733-746. Springer, (2022)