Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics

4 December 2018

Lu Mi

Papers citing "Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics"

3 / 3 papers shown

Title
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction Kisuk Lee R. Lu Kyle L. Luther H. S. Seung 3DV 19 22 0 21 Sep 2019
Anisotropic EM Segmentation by 3D Affinity Learning and Agglomeration T. Parag Fabian Tschopp William Grisaitis Srinivas C. Turaga Xuewen Zhang Brian Matejek L. Kamentsky J. Lichtman Hanspeter Pfister 18 15 0 27 Jul 2017
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 201 7,884 0 13 Jun 2015