PicoEyes delivers a unified end-to-end model for full 3D gaze estimation including eye parameters, axes, segmentation and depth from monocular or binocular near-eye images, supported by a new large-scale multi-view dataset.
V-net: Fully convolutional neural networks for volumetric medical image segmentation
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A one-stage graph framework with modality-specific virtual nodes and dynamic adjacency adjustment for robust brain tumor segmentation under arbitrary missing MRI modalities, outperforming SOTA on BRATS-2018 and BRATS-2020 incomplete subsets.
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PicoEyes: Unified Gaze Estimation Framework for Mixed Reality with a Large-Scale Multi-View Dataset
PicoEyes delivers a unified end-to-end model for full 3D gaze estimation including eye parameters, axes, segmentation and depth from monocular or binocular near-eye images, supported by a new large-scale multi-view dataset.