| Long-term recurrent convolutional networks for visual recognition and description J Donahue, LA Hendricks, S Guadarrama, M Rohrbach, S Venugopalan, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 6616 | 2015 |
| Generating Visual Explanations LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell The 14th European Conference on Computer Vision (ECCV 2016), 2016 | 609 | 2016 |
| Localizing moments in video with natural language LA Hendricks, O Wang, E Shechtman, J Sivic, T Darrell, B Russell Proceedings of the IEEE international conference on computer vision, 5803-5812, 2017 | 544 | 2017 |
| Multimodal explanations: Justifying decisions and pointing to the evidence DH Park, LA Hendricks, Z Akata, A Rohrbach, B Schiele, T Darrell, ... Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 425* | 2018 |
| Women also Snowboard: Overcoming Bias in Captioning Models LA Hendricks, K Burns, K Saenko, T Darrell, A Rohrbach Proceedings of the European Conference on Computer Vision (ECCV), 771-787, 2018 | 305 | 2018 |
| Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data LA Hendricks, S Venugopalan, M Rohrbach, R Mooney, K Saenko, ... Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016 | 300 | 2016 |
| Deep learning for tactile understanding from visual and haptic data Y Gao, LA Hendricks, KJ Kuchenbecker, T Darrell 2016 IEEE International Conference on Robotics and Automation (ICRA), 536-543, 2016 | 244 | 2016 |
| Speaking the same language: Matching machine to human captions by adversarial training R Shetty, M Rohrbach, LA Hendricks, M Fritz, B Schiele Proceedings of the IEEE International Conference on Computer Vision, 4135-4144, 2017 | 231 | 2017 |
| Scaling language models: Methods, analysis & insights from training gopher JW Rae, S Borgeaud, T Cai, K Millican, J Hoffmann, F Song, J Aslanides, ... arXiv preprint arXiv:2112.11446, 2021 | 215 | 2021 |
| Grounding visual explanations LA Hendricks, R Hu, T Darrell, Z Akata Proceedings of the European conference on computer vision (ECCV), 264-279, 2018 | 183 | 2018 |
| Captioning images with diverse objects S Venugopalan, LA Hendricks, M Rohrbach, R Mooney, T Darrell, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 183 | 2017 |
| Object hallucination in image captioning A Rohrbach, LA Hendricks, K Burns, T Darrell, K Saenko arXiv preprint arXiv:1809.02156, 2018 | 157 | 2018 |
| Improving lstm-based video description with linguistic knowledge mined from text S Venugopalan, LA Hendricks, R Mooney, K Saenko arXiv preprint arXiv:1604.01729, 2016 | 149 | 2016 |
| Multimodal video description V Ramanishka, A Das, DH Park, S Venugopalan, LA Hendricks, ... Proceedings of the 24th ACM international conference on Multimedia, 1092-1096, 2016 | 133 | 2016 |
| Training compute-optimal large language models J Hoffmann, S Borgeaud, A Mensch, E Buchatskaya, T Cai, E Rutherford, ... arXiv preprint arXiv:2203.15556, 2022 | 128 | 2022 |
| Ethical and social risks of harm from language models L Weidinger, J Mellor, M Rauh, C Griffin, J Uesato, PS Huang, M Cheng, ... arXiv preprint arXiv:2112.04359, 2021 | 118 | 2021 |
| Localizing Moments in Video with Temporal Language LA Hendricks, O Wang, E Shechtman, J Sivic, T Darrell, B Russell Empirical Methods on Natural Language Processing (EMNLP), 2018 | 106 | 2018 |
| Generating counterfactual explanations with natural language LA Hendricks, R Hu, T Darrell, Z Akata arXiv preprint arXiv:1806.09809, 2018 | 80 | 2018 |
| Women also snowboard: Overcoming bias in captioning models K Burns, LA Hendricks, K Saenko, T Darrell, A Rohrbach arXiv preprint arXiv:1803.09797, 2018 | 58 | 2018 |
| Decoupling the role of data, attention, and losses in multimodal transformers LA Hendricks, J Mellor, R Schneider, JB Alayrac, A Nematzadeh Transactions of the Association for Computational Linguistics 9, 570-585, 2021 | 54 | 2021 |
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyZweryfikowany adres z eecs.berkeley.edu
