Marcus Rohrbach
Marcus Rohrbach
Research Scientist, Facebook AI Research
Verified email at fb.com - Homepage
TitleCited byYear
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
30502015
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
6652015
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
5452015
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
5162016
Neural module networks
J Andreas, M Rohrbach, T Darrell, D Klein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
4232016
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
3792015
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
3552012
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
2952016
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
2722010
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
2572011
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
2342013
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
2222016
Generating Visual Explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
European Conference on Computer Vision (ECCV), 2016
2042016
A Dataset for Movie Description
A Rohrbach, M Rohrbach, N Tandon, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
1942015
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
1932016
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
1872017
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
LA Hendricks, S Venugopalan, M Rohrbach, R Mooney, K Saenko, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
147*2016
Transfer Learning in a Transductive Setting
M Rohrbach, S Ebert, B Schiele
Advances in Neural Information Processing Systems (NIPS), 2013, 2013
1422013
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
1412013
Coherent Multi-Sentence Video Description with Variable Level of Detail
A Rohrbach, M Rohrbach, W Qiu, A Friedrich, M Pinkal, B Schiele
German Conference on Pattern Recognition (GCPR), 2014
1142014
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