4 citations · 21 across the 17 of their papers we have counts for
5 papers · 1 filter
Segmentation-by-Detection: A Cascade Network for Volumetric Medical Image Segmentation
Min Tang, Zichen Zhang, Dana Cobzas +2
We propose an attention mechanism for 3D medical image segmentation. The method, named segmentation-by-detection, is a cascade of a detection module followed by a segmentation modu…
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
Mennatullah Siam, Heba Mahgoub, Mohamed Zahran +3
We propose a novel multi-task learning system that combines appearance and motion cues for a better semantic reasoning of the environment. A unified architecture for joint vehicle…
Incremental 3D Line Segment Extraction from Semi-dense SLAM
Shida He, Xuebin Qin, Zichen Zhang +1
Although semi-dense Simultaneous Localization and Mapping (SLAM) has been becoming more popular over the last few years, there is a lack of efficient methods for representing and p…
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…
Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping
Xuebin Qin, Shida He, Camilo Perez Quintero +3
This paper presents a novel real-time method for tracking salient closed boundaries from video image sequences. This method operates on a set of straight line segments that are pro…