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Matthew J. Tyska

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VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning

Jun 22, 2021
Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo

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Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations

Jan 19, 2021
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

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ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis

Nov 02, 2020
Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo

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CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns

Nov 02, 2020
Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

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GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects

Oct 22, 2020
Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo

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