José Lezama

According to our database, José Lezama authored at least 28 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Predicting ward transfer mortality with machine learning.

José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski

Frontiers Artif. Intell., February, 2023

Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks.

Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé

IEEE Trans. Computational Imaging, 2023

VideoPoet: A Large Language Model for Zero-Shot Video Generation.

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

CoRR, 2023

Photorealistic Video Generation with Diffusion Models.

Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama

CoRR, 2023

Language Model Beats Diffusion - Tokenizer is Key to Visual Generation.

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

CoRR, 2023

Muse: Text-To-Image Generation via Masked Generative Transformers.

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

Proceedings of the International Conference on Machine Learning, 2023

Discrete Predictor-Corrector Diffusion Models for Image Synthesis.

José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MAGVIT: Masked Generative Video Transformer.

Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Visual Prompt Tuning for Generative Transfer Learning.

Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MaskSketch: Unpaired Structure-guided Masked Image Generation.

Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Scaling Painting Style Transfer.

Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel

CoRR, 2022

Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images.

Guillermo Carbajal, Patricia Vitoria, Pablo Musé, José Lezama

CoRR, 2022

Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data.

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

Algorithms, 2022

Improved Masked Image Generation with Token-Critic.

José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition.

Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama

CoRR, 2021

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models.

José Lezama, Wei Chen, Qiang Qiu

Proceedings of the 38th International Conference on Machine Learning, 2021

2019

Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision.

José Lezama

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Psychophysics, Gestalts and Games.

José Lezama, Samy Blusseau, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi

CoRR, 2018

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.

Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro

Proceedings of the Computer Vision - ECCV 2018, 2018

OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning.

José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns.

José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi

Image Process. Line, 2017

Vanishing Point Detection in Urban Scenes Using Point Alignments.

José Lezama, Gregory Randall, Rafael Grompone von Gioi

Image Process. Line, 2017

Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding.

José Lezama, Qiang Qiu, Guillermo Sapiro

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2015

A Contrario 2D Point Alignment Detection.

José Lezama, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi

IEEE Trans. Pattern Anal. Mach. Intell., 2015

An Unsupervised Point Alignment Detection Algorithm.

José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi

Image Process. Line, 2015

2014

A contrario detection of good continuation of points.

José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains.

José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2011

Track to the future: Spatio-temporal video segmentation with long-range motion cues.

José Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011