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10/08/2022
Sequential Ensembling for Semantic Segmentation
Ensemble approaches for deep-learning-based semantic segmentation remain...
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08/05/2019
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm
The distance transform algorithm is popular in computer vision and machi...
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04/10/2019
Learning to Generate Synthetic Data via Compositing
We present a task-aware approach to synthetic data generation. Our frame...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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07/03/2018
Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
In this work we introduce a time- and memory-efficient method for struct...
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11/28/2016
Deep, Dense, and Low-Rank Gaussian Conditional Random Fields
In this work we introduce a fully-connected graph structure in the Deep ...
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03/28/2016