José Lezama

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 38

Top Topics

Image Generation

Diffusion Models

Kernel Estimation

Top Venues

Image Process. Line

Publications

Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel
Scaling Painting Style Transfer. Comput. Graph. Forum 43 (4) (2024)
Andrew Marmon, Grant Schindler, José Lezama, Dan Kondratyuk, Bryan Seybold, Irfan Essa
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers. CoRR (2024)
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation. CoRR (2024)
Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is key to visual generation. ICLR (2024)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CVPR (2023)
Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G. Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David A. Ross, Lu Jiang
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation. CoRR (2023)
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama
Photorealistic Video Generation with Diffusion Models. CoRR (2023)
José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski
Predicting ward transfer mortality with machine learning. Frontiers Artif. Intell. 6 (2023)
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Rachel Hornung, Hartwig Adam, Hassan Akbari, Yair Alon, Vighnesh Birodkar, Yong Cheng, Ming-Chang Chiu, Josh Dillon, Irfan Essa, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, David A. Ross, Grant Schindler, Mikhail Sirotenko, Kihyuk Sohn, Krishna Somandepalli, Huisheng Wang, Jimmy Yan, Ming-Hsuan Yang, Xuan Yang, Bryan Seybold, Lu Jiang
VideoPoet: A Large Language Model for Zero-Shot Video Generation. CoRR (2023)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CVPR (2023)
José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa
Discrete Predictor-Corrector Diffusion Models for Image Synthesis. ICLR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. ICML (2023)
Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé
Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks. IEEE Trans. Computational Imaging 9 (2023)
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
MaskSketch: Unpaired Structure-guided Masked Image Generation. CoRR (2023)
Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks. CoRR (2023)
Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, José Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan
Muse: Text-To-Image Generation via Masked Generative Transformers. CoRR (2023)
Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang
Visual Prompt Tuning for Generative Transfer Learning. CVPR (2023)
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
Improved Masked Image Generation with Token-Critic. ECCV (23) (2022)
Hunter Morera, Roshan Warman, Azubuogu Anudu, Chukwudumebi Uche, Ivana Radosavljevic, Nikhil Reddy, Ahan Kayastha, Niharika Baviriseaty, Rahul Mhaskar, Andrew A. Borkowski, Patrick Brady, Satish Singh, Gerard Mullin, José Lezama, Lawrence O. Hall, Dmitry B. Goldgof, Gitanjali Vidyarthi
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data. Algorithms 15 (10) (2022)
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
MAGVIT: Masked Generative Video Transformer. CoRR (2022)
Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang
Visual Prompt Tuning for Generative Transfer Learning. CoRR (2022)
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
Improved Masked Image Generation with Token-Critic. CoRR (2022)
Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel
Scaling Painting Style Transfer. CoRR (2022)
Guillermo Carbajal, Patricia Vitoria, Pablo Musé, José Lezama
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images. CoRR (2022)
Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition. CoRR (2021)
José Lezama, Wei Chen, Qiang Qiu
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML (2021)
José Lezama
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision. ICLR (Poster) (2019)
Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) (2018)
José Lezama, Samy Blusseau, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi
Psychophysics, Gestalts and Games. CoRR (2018)
José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR (2018)
José Lezama, Gregory Randall, Rafael Grompone von Gioi
Vanishing Point Detection in Urban Scenes Using Point Alignments. Image Process. Line 7 (2017)
José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi
An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns. Image Process. Line 7 (2017)
Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR (2017)
José Lezama, Qiang Qiu, Guillermo Sapiro
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. CVPR (2017)
José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR (2017)
José Lezama, Qiang Qiu, Guillermo Sapiro
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding. CoRR (2016)
José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi
An Unsupervised Point Alignment Detection Algorithm. Image Process. Line 5 (2015)
José Lezama, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi
A Contrario 2D Point Alignment Detection. IEEE Trans. Pattern Anal. Mach. Intell. 37 (3) (2015)
José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel
A contrario detection of good continuation of points. ICIP (2014)
José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains. CVPR (2014)