| Image inpainting for irregular holes using partial convolutions G Liu, FA Reda, KJ Shih, TC Wang, A Tao, B Catanzaro Proceedings of the European conference on computer vision (ECCV), 85-100, 2018 | 1644 | 2018 |
| Where to look: Focus regions for visual question answering KJ Shih, S Singh, D Hoiem Computer Vision and Pattern Recognition 2016, 2015 | 500 | 2015 |
| Improving semantic segmentation via video propagation and label relaxation Y Zhu, K Sapra, FA Reda, KJ Shih, S Newsam, A Tao, B Catanzaro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 356 | 2019 |
| Graphical contrastive losses for scene graph parsing J Zhang, KJ Shih, A Elgammal, A Tao, B Catanzaro Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 184 | 2019 |
| Sdc-net: Video prediction using spatially-displaced convolution FA Reda, G Liu, KJ Shih, R Kirby, J Barker, D Tarjan, A Tao, B Catanzaro Proceedings of the European Conference on Computer Vision (ECCV), 718-733, 2018 | 133 | 2018 |
| Flowtron: an autoregressive flow-based generative network for text-to-speech synthesis R Valle, K Shih, R Prenger, B Catanzaro arXiv preprint arXiv:2005.05957, 2020 | 108 | 2020 |
| Learning collections of part models for object recognition I Endres, KJ Shih, J Jiaa, D Hoiem Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 90 | 2013 |
| Partial convolution based padding G Liu, KJ Shih, TC Wang, FA Reda, K Sapra, Z Yu, A Tao, B Catanzaro arXiv preprint arXiv:1811.11718, 2018 | 77 | 2018 |
| Unsupervised video interpolation using cycle consistency FA Reda, D Sun, A Dundar, M Shoeybi, G Liu, KJ Shih, A Tao, J Kautz, ... Proceedings of the IEEE/CVF international conference on computer Vision, 892-900, 2019 | 65 | 2019 |
| Learning Interpretable Spatial Operations in a Rich 3D Blocks World Y Bisk, KJ Shih, Y Choi, D Marcu Proceedings of the Thirty-Second Conference on Artificial Intelligence (AAAI-18), 2018 | 62 | 2018 |
| Part localization using multi-proposal consensus for fine-grained categorization KJ Shih, A Mallya, S Singh, D Hoiem BMVC 2015, 2015 | 49 | 2015 |
| One TTS alignment to rule them all R Badlani, A Łańcucki, KJ Shih, R Valle, W Ping, B Catanzaro ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 34 | 2022 |
| Recognition of items depicted in images K Shih, W Di, V Jagadeesh, R Piramuthu US Patent App. 14/973,582, 2016 | 27 | 2016 |
| RAD-TTS: Parallel flow-based TTS with robust alignment learning and diverse synthesis KJ Shih, R Valle, R Badlani, A Lancucki, W Ping, B Catanzaro ICML Workshop on Invertible Neural Networks, Normalizing Flows, and Explicit …, 2021 | 23 | 2021 |
| Video prediction using spatially displaced convolution G Liu, K Shih, R Kirby, J Barker, D Tarjan, A Tao, B Catanzaro US Patent App. 16/360,853, 2019 | 23 | 2019 |
| Unsupervised disentanglement of pose, appearance and background from images and videos A Dundar, KJ Shih, A Garg, R Pottorf, A Tao, B Catanzaro IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3883-3894, 2021 | 22 | 2021 |
| Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks T Gupta, K Shih, S Singh, D Hoiem arXiv preprint arXiv:1704.00260, 2017 | 19 | 2017 |
| Revisiting image-language networks for open-ended phrase detection BA Plummer, KJ Shih, Y Li, K Xu, S Lazebnik, S Sclaroff, K Saenko IEEE transactions on pattern analysis and machine intelligence 44 (4), 2155-2167, 2020 | 18 | 2020 |
| An interpretable model for scene graph generation J Zhang, K Shih, A Tao, B Catanzaro, A Elgammal arXiv preprint arXiv:1811.09543, 2018 | 18 | 2018 |
| Image in-painting for irregular holes using partial convolutions G Liu, K Shih, TC Wang, A Tao, B Catanzaro US Patent App. 16/360,895, 2019 | 10 | 2019 |
Bryan CatanzaroNVIDIAVahvistettu sähköpostiosoite verkkotunnuksessa acm.org
