Now showing items 1-3 of 3

    • ColorRL: Reinforced Coloring for End-to-End Instance Segmentation 

      Tran, Minh Quan; Tran, Anh Tuan; Nguyen, Tuan Khoa; Jeong, Won-Ki (2021)
      Instance segmentation, the task of identifying and separating each individual object of interest in the image, is one of the actively studied research topics in computer vision. Although many feed-forward networks produce ...
    • FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics 

      Tran, Minh Quan; Hildebrand, David Grant Colburn; Jeong, Won-Ki (2021-05-13)
      Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in ...
    • Neural Radiance Projection 

      Pham, Ngoc Huy; Tran, Minh Quan (2022-03-20)
      The proposed method, Neural Radiance Projection (NeRP), addresses three fundamental challenges in training convolutional neural networks for X-ray image segmentation: handling limited or missing human-annotated datasets, ...

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