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20162023
most citedRiver Ice Segmentation with Deep Learning

74 citations · 173 across the 30 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

cs.CV2016

Object Classification with Joint Projection and Low-rank Dictionary Learning

Homa Foroughi, Nilanjan Ray, Hong Zhang

For an object classification system, the most critical obstacles towards real-world applications are often caused by large intra-class variability, arising from different lightings…

cs.CV2016★ 3 cited

Deep Deformable Registration: Enhancing Accuracy by Fully Convolutional Neural Net

Sayan Ghosal, Nilanjan Ray

Deformable registration is ubiquitous in medical image analysis. Many deformable registration methods minimize sum of squared difference (SSD) as the registration cost with respect…

cs.CV2016

Convolutional Gated Recurrent Networks for Video Segmentation

Mennatullah Siam, Sepehr Valipour, Martin Jagersand +1

Semantic segmentation has recently witnessed major progress, where fully convolutional neural networks have shown to perform well. However, most of the previous work focused on imp…

cs.CV2016

Recurrent Fully Convolutional Networks for Video Segmentation

Sepehr Valipour, Mennatullah Siam, Martin Jagersand +1

Image segmentation is an important step in most visual tasks. While convolutional neural networks have shown to perform well on single image segmentation, to our knowledge, no stud…

cs.CV2016

Joint Projection and Dictionary Learning using Low-rank Regularization and Graph Constraints

Homa Foroughi, Nilanjan Ray, Hong Zhang

In this paper, we aim at learning simultaneously a discriminative dictionary and a robust projection matrix from noisy data. The joint learning, makes the learned projection and di…