José Lezama

Nitesh Bharadwaj Gundavarapu

Alexander G. Hauptmann

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Photorealistic Video Generation with Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Predicting ward transfer mortality with machine learning.

[BibT_eX]

[DOI]

Frontiers Artif. Intell., February, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Discrete Predictor-Corrector Diffusion Models for Image Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

MAGVIT: Masked Generative Video Transformer.

[BibT_eX]

[DOI]

Alexander G. Hauptmann

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

Visual Prompt Tuning for Generative Transfer Learning.

[BibT_eX]

[DOI]

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

MaskSketch: Unpaired Structure-guided Masked Image Generation.

[BibT_eX]

[DOI]

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

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Algorithms, 2022

Improved Masked Image Generation with Token-Critic.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

2018

Psychophysics, Gestalts and Games.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

Qiang Qiu

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.

[BibT_eX]

[DOI]

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

2017

An Unsupervised Algorithm for Detecting Good Continuation in Dot Patterns.

[BibT_eX]

[DOI]

Image Process. Line, 2017

Vanishing Point Detection in Urban Scenes Using Point Alignments.

[BibT_eX]

[DOI]

Image Process. Line, 2017

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

[BibT_eX]

[DOI]

Qiang Qiu

Guillermo Sapiro

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

2015

A Contrario 2D Point Alignment Detection.

[BibT_eX]

[DOI]

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

An Unsupervised Point Alignment Detection Algorithm.

[BibT_eX]

[DOI]

Image Process. Line, 2015

2014

A contrario detection of good continuation of points.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]