Marcus Rohrbach
Marcus Rohrbach
Research Scientist, Facebook AI Research
Geverifieerd e-mailadres voor fb.com - Homepage
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Long-term Recurrent Convolutional Networks for Visual Recognition and Description
J Donahue, LA Hendricks, S Guadarrama, M Rohrbach, S Venugopalan, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
51882015
Sequence to Sequence - Video to Text
S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko
IEEE International Conference on Computer Vision (ICCV), 2015
11502015
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
A Fukui, DH Park, D Yang, A Rohrbach, T Darrell, M Rohrbach
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016
10442016
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko
Conference of the North American Chapter of the Association for …, 2015
8432015
Neural module networks
J Andreas, M Rohrbach, T Darrell, D Klein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
8142016
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
M Malinowski, M Rohrbach, M Fritz
IEEE International Conference on Computer Vision (ICCV), 2015
5802015
A Database for Fine Grained Activity Detection of Cooking Activities
M Rohrbach, S Amin, M Andriluka, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012
5182012
Learning to Compose Neural Networks for Question Answering
J Andreas, M Rohrbach, T Darrell, D Klein
North American Chapter of the Association for Computational Linguistics …, 2016
4782016
Generating Visual Explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
European Conference on Computer Vision (ECCV), 2016
4302016
Learning to Reason: End-to-End Module Networks for Visual Question Answering
R Hu, J Andreas, M Rohrbach, T Darrell, K Saenko
IEEE International Conference on Computer Vision (ICCV), 2017
4032017
Natural Language Object Retrieval
R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
4002016
Memory Aware Synapses: Learning what (not) to forget
R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach, T Tuytelaars
European Conference on Computer Vision (ECCV), 2018
3712018
Grounding of Textual Phrases in Images by Reconstruction
A Rohrbach, M Rohrbach, R Hu, T Darrell, B Schiele
European Conference on Computer Vision (ECCV), 2016
3642016
Translating Video Content to Natural Language Descriptions
M Rohrbach, Q Wei, I Titov, S Thater, M Pinkal, B Schiele
IEEE International Conference on Computer Vision (ICCV), 2013
3512013
Evaluating knowledge transfer and zero-shot learning in a large-scale setting
M Rohrbach, M Stark, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011
3492011
What helps where–and why? semantic relatedness for knowledge transfer
M Rohrbach, M Stark, G Szarvas, I Gurevych, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
3372010
A Dataset for Movie Description
A Rohrbach, M Rohrbach, N Tandon, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
3282015
Efficient Lifelong Learning with A-GEM
A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny
International Conference on Learning Representations (ICLR), 2019
2942019
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
DH Park, LA Hendricks, Z Akata, A Rohrbach, B Schiele, T Darrell, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
264*2018
Grounding Action Descriptions in Videos
M Regneri, M Rohrbach, D Wetzel, S Thater, B Schiele, M Pinkal
Transactions of the Association for Computational Linguistics (TACL) 1, 25-36, 2013
2642013
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Artikelen 1–20