| Muse: Text-to-image generation via masked generative transformers H Chang, H Zhang, J Barber, AJ Maschinot, J Lezama, L Jiang, MH Yang, ... arXiv preprint arXiv:2301.00704, 2023 | 491 | 2023 |
| Track to the future: Spatio-temporal video segmentation with long-range motion cues J Lezama, K Alahari, J Sivic, I Laptev CVPR 2011, 3369-3376, 2011 | 269 | 2011 |
| Magvit: Masked generative video transformer L Yu, Y Cheng, K Sohn, J Lezama, H Zhang, H Chang, AG Hauptmann, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 202 | 2023 |
| Language Model Beats Diffusion--Tokenizer is Key to Visual Generation L Yu, J Lezama, NB Gundavarapu, L Versari, K Sohn, D Minnen, Y Cheng, ... arXiv preprint arXiv:2310.05737, 2023 | 195 | 2023 |
| Videopoet: A large language model for zero-shot video generation D Kondratyuk, L Yu, X Gu, J Lezama, J Huang, G Schindler, R Hornung, ... arXiv preprint arXiv:2312.14125, 2023 | 177 | 2023 |
| Not afraid of the dark: Nir-vis face recognition via cross-spectral hallucination and low-rank embedding J Lezama, Q Qiu, G Sapiro Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 170 | 2017 |
| Photorealistic video generation with diffusion models A Gupta, L Yu, K Sohn, X Gu, M Hahn, FF Li, I Essa, L Jiang, J Lezama European Conference on Computer Vision, 393-411, 2024 | 128 | 2024 |
| Finding vanishing points via point alignments in image primal and dual domains J Lezama, R Grompone von Gioi, G Randall, JM Morel Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 116 | 2014 |
| Ole: Orthogonal low-rank embedding-a plug and play geometric loss for deep learning J Lezama, Q Qiu, P Musé, G Sapiro Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 94 | 2018 |
| Visual prompt tuning for generative transfer learning K Sohn, H Chang, J Lezama, L Polania, H Zhang, Y Hao, I Essa, L Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 83 | 2023 |
| Improved masked image generation with token-critic J Lezama, H Chang, L Jiang, I Essa European Conference on Computer Vision, 70-86, 2022 | 43 | 2022 |
| A Contrario 2D Point Alignment Detection J Lezama, JM Morel, G Randall, R Grompone von Gioi IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 | 34 | 2014 |
| Overcoming the disentanglement vs reconstruction trade-off via Jacobian supervision J Lezama International Conference on Learning Representations, 2019 | 33 | 2019 |
| Masksketch: Unpaired structure-guided masked image generation D Bashkirova, J Lezama, K Sohn, K Saenko, I Essa Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 28 | 2023 |
| Segmentation guided registration of wide field-of-view retinal optical coherence tomography volumes J Lezama, D Mukherjee, RP McNabb, G Sapiro, AN Kuo, S Farsiu Biomedical optics express 7 (12), 4827-4846, 2016 | 27 | 2016 |
| Non-uniform blur kernel estimation via adaptive basis decomposition G Carbajal, P Vitoria, M Delbracio, P Musé, J Lezama arXiv preprint arXiv:2102.01026, 2021 | 25 | 2021 |
| Discrete predictor-corrector diffusion models for image synthesis J Lezama, T Salimans, L Jiang, H Chang, J Ho, I Essa The Eleventh International Conference on Learning Representations, 2022 | 17* | 2022 |
| Blind motion deblurring with pixel-wise Kernel estimation via Kernel prediction networks G Carbajal, P Vitoria, J Lezama, P Musé IEEE Transactions on Computational Imaging, 2023 | 14 | 2023 |
| Good continuation in dot patterns: A quantitative approach based on local symmetry and non-accidentalness J Lezama, G Randall, JM Morel, RG von Gioi Vision research 126, 183-191, 2016 | 13 | 2016 |
| Foresthash: Semantic hashing with shallow random forests and tiny convolutional networks Q Qiu, J Lezama, A Bronstein, G Sapiro Proceedings of the European Conference on Computer Vision (ECCV), 432-448, 2018 | 9 | 2018 |
Lu JiangResearch Scientist, TikTok & Adjunct Faculty, CMUVerified email at cs.cmu.edu