Seguir
Marcus Rohrbach
Marcus Rohrbach
Professor for Multimodal Reliable AI, TU Darmstadt, Germany
Dirección de correo verificada de tu-darmstadt.de - Página principal
Título
Citado por
Citado por
Año
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
79842017
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
18582016
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
18152015
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
18032018
Efficient Lifelong Learning with A-GEM
A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny
International Conference on Learning Representations (ICLR), 2019
15732019
Neural module networks
J Andreas, M Rohrbach, T Darrell, D Klein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016
14352016
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
14172020
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
12442015
Towards VQA Models That Can Read
A Singh, V Natarajan, M Shah, Y Jiang, X Chen, D Batra, D Parikh, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
9642019
On tiny episodic memories in continual learning
A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ...
ICML Workshop on Multi-Task and Lifelong Reinforcement Learning, 2019
957*2019
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
7962015
Generating Visual Explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
European Conference on Computer Vision (ECCV), 2016
7712016
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
7402012
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
7292019
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
7162017
FLAVA: A Foundational Language And Vision Alignment Model
A Singh, R Hu, V Goswami, G Couairon, W Galuba, M Rohrbach, D Kiela
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
6932022
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
6912016
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
6512016
A Dataset for Movie Description
A Rohrbach, M Rohrbach, N Tandon, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
6432015
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
593*2018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20