15 citations · 21 across the 5 of their papers we have counts for
5 papers
Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints
Chen Jiang, Allie Luo, Martin Jagersand
In this paper, we perform robot manipulation activities in real-world environments with language contexts by integrating a compact referring image segmentation model into the robot…
Adaptive Masked Proxies for Few-Shot Segmentation
Mennatullah Siam, Boris Oreshkin, Martin Jagersand
Deep learning has thrived by training on large-scale datasets. However, in robotics applications sample efficiency is critical. We propose a novel adaptive masked proxies method th…
End-to-end detection-segmentation network with ROI convolution
Zichen Zhang, Min Tang, Dana Cobzas +3
We propose an end-to-end neural network that improves the segmentation accuracy of fully convolutional networks by incorporating a localization unit. This network performs object l…
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam, Sara Elkerdawy, Martin Jagersand +1
Semantic segmentation was seen as a challenging computer vision problem few years ago. Due to recent advancements in deep learning, relatively accurate solutions are now possible f…
Unifying Registration based Tracking: A Case Study with Structural Similarity
Abhineet Singh, Mennatullah Siam, Martin Jagersand
This paper adapts a popular image quality measure called structural similarity for high precision registration based tracking while also introducing a simpler and faster variant of…