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Marcus Rohrbach
Marcus Rohrbach
Research Scientist, Facebook AI Research
Bestätigte E-Mail-Adresse bei fb.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
J Donahue, LA Hendricks, M Rohrbach, S Venugopalan, S Guadarrama, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 39 (4), 2017
66052017
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
14962015
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
14302016
Neural module networks
J Andreas, M Rohrbach, T Darrell, D Klein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
11062016
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko
NAACL: Conference of the North American Chapter of the Association for …, 2015
10582015
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
8342018
Efficient Lifelong Learning with A-GEM
A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny
International Conference on Learning Representations (ICLR), 2019
7512019
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
6862015
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
6292012
Decoupling Representation and Classifier for Long-Tailed Recognition
B Kang, S Xie, M Rohrbach, Z Yan, A Gordo, J Feng, Y Kalantidis
International Conference on Learning Representations (ICLR), 2020
6252020
Generating Visual Explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
European Conference on Computer Vision (ECCV), 2016
6072016
Learning to Compose Neural Networks for Question Answering
J Andreas, M Rohrbach, T Darrell, D Klein
NAACL: North American Chapter of the Association for Computational …, 2016
5752016
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
5512017
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
5392016
A Dataset for Movie Description
A Rohrbach, M Rohrbach, N Tandon, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
4672015
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
4652016
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution
Y Chen, H Fang, B Xu, Z Yan, Y Kalantidis, M Rohrbach, S Yan, J Feng
IEEE International Conference on Computer Vision (ICCV), 2019
4402019
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
424*2018
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
4162013
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
3902011
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