63 citations · 77 across the 4 of their papers we have counts for
5 papers
Split-Merge Pooling
Omid Hosseini Jafari, Carsten Rother
There are a variety of approaches to obtain a vast receptive field with convolutional neural networks (CNNs), such as pooling or striding convolutions. Most of these approaches wer…
Deep Object Co-Segmentation
Weihao Li, Omid Hosseini Jafari, Carsten Rother
This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignor…
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects
Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch +2
We address the task of 6D pose estimation of known rigid objects from single input images in scenarios where the objects are partly occluded. Recent RGB-D-based methods are robust…
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation
Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov +2
This paper addresses the task of designing a modular neural network architecture that jointly solves different tasks. As an example we use the tasks of depth estimation and semanti…
Real-Time RGB-D based Template Matching Pedestrian Detection
Omid Hosseini jafari, Michael Ying Yang
Pedestrian detection is one of the most popular topics in computer vision and robotics. Considering challenging issues in multiple pedestrian detection, we present a real-time dept…