| Tgif-qa: Toward spatio-temporal reasoning in visual question answering Y Jang, Y Song, Y Yu, Y Kim, G Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 392 | 2017 |
| Distributed cosegmentation via submodular optimization on anisotropic diffusion G Kim, EP Xing, L Fei-Fei, T Kanade Computer Vision (ICCV), 2011 IEEE International Conference on, 169-176, 2011 | 347 | 2011 |
| A Joint Sequence Fusion Model for Video Question Answering and Retrieval Y Yu, J Kim, G Kim Proceedings of the European Conference on Computer Vision (ECCV), 471-487, 2018 | 277 | 2018 |
| End-to-end concept word detection for video captioning, retrieval, and question answering Y Yu, H Ko, J Choi, G Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 229 | 2017 |
| Joint summarization of large-scale collections of web images and videos for storyline reconstruction G Kim, L Sigal, E Xing Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 203 | 2014 |
| Attend to You: Personalized Image Captioning With Context Sequence Memory Networks C Chunseong Park, B Kim, G Kim Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 178 | 2017 |
| On multiple foreground cosegmentation G Kim, EP Xing 2012 IEEE Conference on Computer Vision and Pattern Recognition, 837-844, 2012 | 170 | 2012 |
| AudioCaps: Generating Captions for Audios in The Wild CD Kim, B Kim, H Lee, G Kim Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 153 | 2019 |
| Unsupervised modeling of object categories using link analysis techniques G Kim, C Faloutsos, M Hebert Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008 | 148 | 2008 |
| A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning S Lee, J Ha, D Zhang, G Kim International Conference on Learning Representations (ICLR), 2020 | 145 | 2020 |
| Abstractive Summarization of Reddit Posts with Multi-level Memory Networks B Kim, H Kim, G Kim Proceedings of the 2020 Conference of the North American Chapter of the …, 2018 | 139 | 2018 |
| Big/little deep neural network for ultra low power inference E Park, D Kim, S Kim, YD Kim, G Kim, S Yoon, S Yoo Hardware/Software Codesign and System Synthesis (CODES+ ISSS), 2015 …, 2015 | 130 | 2015 |
| Unsupervised detection of regions of interest using iterative link analysis G Kim, A Torralba Advances in neural information processing systems 22, 2009 | 130 | 2009 |
| Better to Follow, Follow to Be Better: Towards Precise Supervision of Feature Super-Resolution for Small Object Detection J Noh, W Bae, W Lee, J Seo, G Kim Proceedings of the IEEE International Conference on Computer Vision, 9725-9734, 2019 | 126 | 2019 |
| Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue B Kim, J Ahn, G Kim International Conference on Learning Representations (ICLR), 2020 | 117 | 2020 |
| A Hierarchical Latent Structure for Variational Conversation Modeling Y Park, J Cho, G Kim Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 116 | 2018 |
| A read-write memory network for movie story understanding S Na, S Lee, J Kim, G Kim Proceedings of the IEEE International Conference on Computer Vision, 677-685, 2017 | 110 | 2017 |
| Expressing an Image Stream with a Sequence of Natural Sentences CC Park, G Kim Advances in Neural Information Processing Systems (NIPS), 2015 | 103 | 2015 |
| Rethinking Class Activation Mapping for Weakly Supervised Object Localization W Bae, J Noh, G Kim Conference Proceedings of the 16th European Conference on Computer Vision, 2020 | 91 | 2020 |
| A machine learning approach using survival statistics to predict graft survival in kidney transplant recipients: a multicenter cohort study KD Yoo, J Noh, H Lee, DK Kim, CS Lim, YH Kim, JP Lee, G Kim, YS Kim Scientific reports 7 (1), 1-12, 2017 | 90 | 2017 |
YoungJae YuAllen Institute for AIVerified email at allenai.org
