4 citations · 4 across the 3 of their papers we have counts for
5 papers
A deep level set method for image segmentation
Min Tang, Sepehr Valipour, Zichen Vincent Zhang +2
This paper proposes a novel image segmentation approachthat integrates fully convolutional networks (FCNs) with a level setmodel. Compared with a FCN, the integrated method can inc…
Incremental Learning for Robot Perception through HRI
Sepehr Valipour, Camilo Perez, Martin Jagersand
Scene understanding and object recognition is a difficult to achieve yet crucial skill for robots. Recently, Convolutional Neural Networks (CNN), have shown success in this task. H…
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…
Parking Stall Vacancy Indicator System Based on Deep Convolutional Neural Networks
Sepehr Valipour, Mennatullah Siam, Eleni Stroulia +1
Parking management systems, and vacancy-indication services in particular, can play a valuable role in reducing traffic and energy waste in large cities. Visual detection methods r…
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…