José Lezama

50 papers A* 13A 1B 1Journal 31Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Guest Editorial: Special Issue on Visual Datasets.
Int. J. Comput. Vis.
Xin Zhao, Liang Zheng, Qiang Qiu, Yin Li, Limin Wang, José Lezama, Qiuhong Ke, Yongchan Kwon, Ruoxi Jia, Jungong Han
2025 J jnl
Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images.
J. Math. Imaging Vis.
Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé
2025 A conf
Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models.
IROS
Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025 J jnl
Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models.
CoRR
Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025 J jnl
HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations.
CoRR
Yiran Xu, Siqi Xie, Zhuofang Li, Harris Shadmany, Yinxiao Li, Luciano Sbaiz, Miaosen Wang, Junjie Ke, José Lezama, Hang Qi, Han Zhang, Jesse Berent, Ming-Hsuan Yang, Irfan Essa, Jiabin Huang, Feng Yang
2025 J jnl
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation.
CoRR
Sihyun Yu, Meera Hahn, Dan Kondratyuk, Jinwoo Shin, Agrim Gupta, José Lezama, Irfan Essa, David A. Ross, Jonathan Huang
2024 A* conf
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation.
NeurIPS
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
2024 J jnl
A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation.
CoRR
Gwanghyun Kim, Alonso Martinez, Yu-Chuan Su, Brendan Jou, José Lezama, Agrim Gupta, Lijun Yu, Lu Jiang, Aren Jansen, Jacob Walker, Krishna Somandepalli
2024 J jnl
CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers.
CoRR
Andrew Marmon, Grant Schindler, José Lezama, Dan Kondratyuk, Bryan Seybold, Irfan Essa
2024 A* conf
Language Model Beats Diffusion - Tokenizer is key to visual generation.
ICLR
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
2024 — conf
Photorealistic Video Generation with Diffusion Models.
ECCV (79)
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Fei-Fei Li, Irfan Essa, Lu Jiang, José Lezama
2024 J jnl
Scaling Painting Style Transfer.
Comput. Graph. Forum
Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel
2024 A* conf
VideoPoet: A Large Language Model for Zero-Shot Video Generation.
ICML
Dan Kondratyuk, Lijun Yu, Xiuye Gu, José Lezama, Jonathan Huang, Grant Schindler, Rachel Hornung, Vighnesh Birodkar, Jimmy Yan, Ming-Chang Chiu, Krishna Somandepalli, Hassan Akbari, Yair Alon, Yong Cheng, Joshua V. Dillon, Agrim Gupta, Meera Hahn, Anja Hauth, David Hendon, Alonso Martinez, David Minnen, Mikhail Sirotenko, Kihyuk Sohn, Xuan Yang, Hartwig Adam, Ming-Hsuan Yang, Irfan Essa, Huisheng Wang, David A. Ross, Bryan Seybold, Lu Jiang
2023 J jnl
Blind Motion Deblurring With Pixel-Wise Kernel Estimation via Kernel Prediction Networks.
IEEE Trans. Computational Imaging
Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé
2023 J jnl
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks.
CoRR
Guillermo Carbajal, Patricia Vitoria, José Lezama, Pablo Musé
2023 A* conf
Discrete Predictor-Corrector Diffusion Models for Image Synthesis.
ICLR
José Lezama, Tim Salimans, Lu Jiang, Huiwen Chang, Jonathan Ho, Irfan Essa
2023 J jnl
Language Model Beats Diffusion - Tokenizer is Key to Visual Generation.
CoRR
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
2023 A* conf
MAGVIT: Masked Generative Video Transformer.
CVPR
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
2023 A* conf
MaskSketch: Unpaired Structure-guided Masked Image Generation.
CVPR
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023 J jnl
MaskSketch: Unpaired Structure-guided Masked Image Generation.
CoRR
Dina Bashkirova, José Lezama, Kihyuk Sohn, Kate Saenko, Irfan Essa
2023 A* conf
Muse: Text-To-Image Generation via Masked Generative Transformers.
ICML
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
2023 J jnl
Muse: Text-To-Image Generation via Masked Generative Transformers.
CoRR
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
2023 J jnl
Photorealistic Video Generation with Diffusion Models.
CoRR
Agrim Gupta, Lijun Yu, Kihyuk Sohn, Xiuye Gu, Meera Hahn, Li Fei-Fei, Irfan Essa, Lu Jiang, José Lezama
2023 J jnl
Predicting ward transfer mortality with machine learning.
Frontiers Artif. Intell.
José Lezama, Gil Alterovitz, Colleen E. Jakey, Ana L. Kraus, Michael J. Kim, Andrew A. Borkowski
2023 J jnl
VideoPoet: A Large Language Model for Zero-Shot Video Generation.
CoRR
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, Joshua V. 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
2023 A* conf
Visual Prompt Tuning for Generative Transfer Learning.
CVPR
Kihyuk Sohn, Huiwen Chang, José Lezama, Luisa Polania, Han Zhang, Yuan Hao, Irfan Essa, Lu Jiang
2022 — conf
Improved Masked Image Generation with Token-Critic.
ECCV (23)
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
2022 J jnl
Improved Masked Image Generation with Token-Critic.
CoRR
José Lezama, Huiwen Chang, Lu Jiang, Irfan Essa
2022 J jnl
MAGVIT: Masked Generative Video Transformer.
CoRR
Lijun Yu, Yong Cheng, Kihyuk Sohn, José Lezama, Han Zhang, Huiwen Chang, Alexander G. Hauptmann, Ming-Hsuan Yang, Yuan Hao, Irfan Essa, Lu Jiang
2022 J jnl
Reduction of Video Capsule Endoscopy Reading Times Using Deep Learning with Small Data.
Algorithms
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
2022 J jnl
Rethinking Motion Deblurring Training: A Segmentation-Based Method for Simulating Non-Uniform Motion Blurred Images.
CoRR
Guillermo Carbajal, Patricia Vitoria, Pablo Musé, José Lezama
2022 J jnl
Scaling Painting Style Transfer.
CoRR
Bruno Galerne, Lara Raad, José Lezama, Jean-Michel Morel
2022 J jnl
Visual Prompt Tuning for Generative Transfer Learning.
CoRR
Kihyuk Sohn, Yuan Hao, José Lezama, Luisa Polania, Huiwen Chang, Han Zhang, Irfan Essa, Lu Jiang
2021 A* conf
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models.
ICML
José Lezama, Wei Chen, Qiang Qiu
2021 J jnl
Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition.
CoRR
Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama
2019 — conf
Overcoming the Disentanglement vs Reconstruction Trade-off via Jacobian Supervision.
ICLR (Poster)
José Lezama
2018 — conf
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.
ECCV (2)
Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2018 A* conf
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning.
CVPR
José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
2018 J jnl
Psychophysics, Gestalts and Games.
CoRR
José Lezama, Samy Blusseau, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi
2017 J jnl
An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns.
Image Process. Line
José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi
2017 J jnl
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks.
CoRR
Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro
2017 A* conf
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding.
CVPR
José Lezama, Qiang Qiu, Guillermo Sapiro
2017 J jnl
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning.
CoRR
José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro
2017 J jnl
Vanishing Point Detection in Urban Scenes Using Point Alignments.
Image Process. Line
José Lezama, Gregory Randall, Rafael Grompone von Gioi
2016 J jnl
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding.
CoRR
José Lezama, Qiang Qiu, Guillermo Sapiro
2015 J jnl
A Contrario 2D Point Alignment Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
José Lezama, Jean-Michel Morel, Gregory Randall, Rafael Grompone von Gioi
2015 J jnl
An Unsupervised Point Alignment Detection Algorithm.
Image Process. Line
José Lezama, Gregory Randall, Jean-Michel Morel, Rafael Grompone von Gioi
2014 B conf
A contrario detection of good continuation of points.
ICIP
José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel
2014 A* conf
Finding Vanishing Points via Point Alignments in Image Primal and Dual Domains.
CVPR
José Lezama, Rafael Grompone von Gioi, Gregory Randall, Jean-Michel Morel
2011 A* conf
Track to the future: Spatio-temporal video segmentation with long-range motion cues.
CVPR
José Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev