| Translating videos to natural language using deep recurrent neural networks S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko Proceedings of the 2015 Conference of the North American Chapter of the …, 2014 | 1153 | 2014 |
| Ask, attend and answer: Exploring question-guided spatial attention for visual question answering H Xu, K Saenko European Conference on Computer Vision (ECCV2016), 451-466, 2016 | 887 | 2016 |
| R-C3D: Region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko International Conference on Computer Vision (ICCV2017), 2017 | 807 | 2017 |
| Meta-baseline: Exploring simple meta-learning for few-shot learning Y Chen, Z Liu, H Xu, T Darrell, X Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 468* | 2021 |
| Multilevel Language and Vision Integration for Text-to-Clip Retrieval H Xu, K He, BA Plummer, L Sigal, S Sclaroff, K Saenko Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019), 2018 | 297* | 2018 |
| Something-else: Compositional action recognition with spatial-temporal interaction networks J Materzynska, T Xiao, R Herzig, H Xu*, X Wang*, T Darrell* IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2020 …, 2020 | 144 | 2020 |
| Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning Z Luo, D Guillory, B Shi, W Ke, F Wan, T Darrell, H Xu European Conference on Computer Vision (ECCV2020), 2020 | 106 | 2020 |
| Spatio-temporal action graph networks R Herzig*, E Levi*, H Xu*, H Gao, E Brosh, X Wang, A Globerson, ... Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 91 | 2019 |
| Learning canonical representations for scene graph to image generation R Herzig, A Bar, H Xu, G Chechik, T Darrell, A Globerson European Conference on Computer Vision (ECCV2020), 2019 | 82 | 2019 |
| Learning instance activation maps for weakly supervised instance segmentation Y Zhu, Y Zhou, H Xu, Q Ye, D Doermann, J Jiao IEEE Conference on Computer Vision and Pattern Recognition (CVPR2019), 3116-3125, 2019 | 74 | 2019 |
| Joint Event Detection and Description in Continuous Video Streams H Xu, B Li, V Ramanishka, L Sigal, K Saenko IEEE Winter Conference on Applications of Computer Vision (WACV2019), 2018 | 70 | 2018 |
| A multi-scale multiple instance video description network H Xu, S Venugopalan, V Ramanishka, M Rohrbach, K Saenko ICCV15: first workshop on Closing the Loop Between Vision and Language, 2015 | 70 | 2015 |
| Logan: Latent graph co-attention network for weakly-supervised video moment retrieval R Tan, H Xu, K Saenko, BA Plummer Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 68* | 2021 |
| Two-stream region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019., 2019 | 38 | 2019 |
| TwoStreamVAN: Improving Motion Modeling in Video Generation X Sun, H Xu, K Saenko The IEEE Winter Conference on Applications of Computer Vision (WACV2020 …, 2020 | 27* | 2020 |
| Auxiliary Task Reweighting for Minimum-data Learning B Shi, J Hoffman, K Saenko, T Darrell, H Xu Advances in neural information processing systems (NeurIPS2020), 2020 | 25 | 2020 |
| Revisiting few-shot activity detection with class similarity control H Xu, X Sun, E Tzeng, A Das, K Saenko, T Darrell arXiv preprint arXiv:2004.00137, 2020 | 21* | 2020 |
| Poison identification based on Bayesian network: A novel improvement on K2 algorithm via Markov Blanket J Jiang, J Wang, H Yu, H Xu Advances in Swarm Intelligence: 4th International Conference, ICSI 2013 …, 2013 | 21 | 2013 |
| Contextual multi-scale region convolutional 3d network for activity detection Y Bai, H Xu, K Saenko, B Ghanem arXiv preprint arXiv:1801.09184, 2018 | 18 | 2018 |
| Dual Attention Network for Visual Question Answering H Xu, K Saenko ECCV2016 2nd Workshop on Storytelling with Images and Videos (VisStory), 2016 | 11 | 2016 |
Kate SaenkoBoston UniversityVerified email at bu.edu
