| 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 | 2619 | 2018 |
| Where to look: Focus regions for visual question answering KJ Shih, S Singh, D Hoiem Computer Vision and Pattern Recognition 2016, 2015 | 602 | 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 | 512 | 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 | 275 | 2019 |
| 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 | 181 | 2020 |
| 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 | 180 | 2018 |
| 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 | 120 | 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 | 103 | 2019 |
| 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 | 89 | 2022 |
| 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 | 88 | 2013 |
| 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 | 72 | 2018 |
| Part localization using multi-proposal consensus for fine-grained categorization KJ Shih, A Mallya, S Singh, D Hoiem BMVC 2015, 2015 | 61 | 2015 |
| Partial convolution for padding, inpainting, and image synthesis G Liu, A Dundar, KJ Shih, TC Wang, FA Reda, K Sapra, Z Yu, X Yang, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6096-6110, 2022 | 56 | 2022 |
| 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 | 54 | 2021 |
| Recognition of items depicted in images K Shih, W Di, V Jagadeesh, R Piramuthu US Patent App. 14/973,582, 2016 | 46 | 2016 |
| 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 | 39 | 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 | 32 | 2021 |
| P-flow: A fast and data-efficient zero-shot TTS through speech prompting S Kim, K Shih, JF Santos, E Bakhturina, M Desta, R Valle, S Yoon, ... Advances in Neural Information Processing Systems 36, 74213-74228, 2023 | 31 | 2023 |
| 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 | 30 | 2020 |
| 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 | 25 | 2017 |
Bryan CatanzaroNVIDIAE-mail megerősítve itt: acm.org
