181 citations · 310 across the 12 of their papers we have counts for
6 papers · 1 filter
Multistream ValidNet: Improving 6D Object Pose Estimation by Automatic Multistream Validation
Joy Mazumder, Mohsen Zand, Michael Greenspan
This work presents a novel approach to improve the results of pose estimation by detecting and distinguishing between the occurrence of True and False Positive results. It achieves…
Oriented Bounding Boxes for Small and Freely Rotated Objects
Mohsen Zand, Ali Etemad, Michael Greenspan
A novel object detection method is presented that handles freely rotated objects of arbitrary sizes, including tiny objects as small as pixels. Such tiny objects appear…
Vote from the Center: 6 DoF Pose Estimation in RGB-D Images by Radial Keypoint Voting
Yangzheng Wu, Mohsen Zand, Ali Etemad +1
We propose a novel keypoint voting scheme based on intersecting spheres, that is more accurate than existing schemes and allows for fewer, more disperse keypoints. The scheme is ba…
Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan +1
We present the Teacher-Student Generative Adversarial Network (TS-GAN) to generate depth images from single RGB images in order to boost the performance of face recognition systems…
Procam Calibration from a Single Pose of a Planar Target
Ghani O. Lawal, Michael Greenspan
A novel user friendly method is proposed for calibrating a procam system from a single pose of a planar chessboard target. The user simply needs to orient the chessboard in a singl…
Depth as Attention for Face Representation Learning
Hardik Uppal, Alireza Sepas-Moghaddam, Michael Greenspan +1
Face representation learning solutions have recently achieved great success for various applications such as verification and identification. However, face recognition approaches t…