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Omid Hosseini Jafari
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2020 – today
- 2024
- [c9]Anush Kumar, Fahim Mannan, Omid Hosseini Jafari, Shile Li, Felix Heide:
Flow-Guided Online Stereo Rectification for Wide Baseline Stereo. CVPR 2024: 15375-15385 - 2020
- [b1]Omid Hosseini Jafari:
Exploring Subtasks of Scene Understanding: Challenges and Cross-Modal Analysis. University of Heidelberg, Germany, 2020 - [i5]Omid Hosseini Jafari, Carsten Rother:
Split-Merge Pooling. CoRR abs/2006.07742 (2020)
2010 – 2019
- 2019
- [c8]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Localizing Common Objects Using Common Component Activation Map. CVPR Workshops 2019: 28-31 - 2018
- [c7]Omid Hosseini Jafari
, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother:
iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects. ACCV (3) 2018: 477-492 - [c6]Weihao Li, Omid Hosseini Jafari
Deep Object Co-segmentation. ACCV (3) 2018: 638-653 - [i4]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Deep Object Co-Segmentation. CoRR abs/1804.06423 (2018) - 2017
- [c5]Aseem Behl, Omid Hosseini Jafari
Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios? ICCV 2017: 2593-2602 - [c4]Omid Hosseini Jafari
Analyzing modular CNN architectures for joint depth prediction and semantic segmentation. ICRA 2017: 4620-4627 - [c3]Weihao Li, Omid Hosseini Jafari, Carsten Rother:
Semantic-Aware Image Smoothing. VMV 2017: 153-160 - [i3]Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother:
Analyzing Modular CNN Architectures for Joint Depth Prediction and Semantic Segmentation. CoRR abs/1702.08009 (2017) - [i2]Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother:
The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation. CoRR abs/1712.01924 (2017) - 2016
- [c2]Omid Hosseini Jafari
Real-time RGB-D based template matching pedestrian detection. ICRA 2016: 5520-5527 - [i1]Omid Hosseini Jafari, Michael Ying Yang:
Real-Time RGB-D based Template Matching Pedestrian Detection. CoRR abs/1610.00748 (2016) - 2014
- [c1]Omid Hosseini Jafari
Real-time RGB-D based people detection and tracking for mobile robots and head-worn cameras. ICRA 2014: 5636-5643
Coauthor Index
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last updated on 2024-10-07 01:21 CEST by the dblp team
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