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09/14/2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Dense crowd counting is a challenging task that demands millions of head...
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10/18/2018
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach
With contemporary advancements of graphics engines, recent trend in deep...
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07/27/2017
Representation-Aggregation Networks for Segmentation of Multi-Gigapixel Histology Images
Convolutional Neural Network (CNN) models have become the state-of-the-a...
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11/20/2016
