| 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 | 4193 | 2015 |
| 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 | 934 | 2015 |
| 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 | 794 | 2016 |
| 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 | 732 | 2015 |
| Neural module networks J Andreas, M Rohrbach, T Darrell, D Klein IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016 | 624 | 2016 |
| 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 | 485 | 2015 |
| 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 | 448 | 2012 |
| 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 | 396 | 2016 |
| Generating Visual Explanations LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell European Conference on Computer Vision (ECCV), 2016 | 322 | 2016 |
| 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 | 316 | 2016 |
| 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 | 313 | 2017 |
| 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 | 301 | 2011 |
| 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 | 301 | 2010 |
| 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 | 295 | 2013 |
| 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 | 284 | 2016 |
| A Dataset for Movie Description A Rohrbach, M Rohrbach, N Tandon, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 260 | 2015 |
| 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 | 200 | 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 | 197 | 2013 |
| 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 | 187* | 2018 |
| 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 | 186 | 2016 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
