Thibaut Durand

Graham Taylor

Lilian W. Bialokozowicz

CoRR, February, 2025

2022

Training a Vision Transformer from scratch in less than 24 hours with 1 GPU.

[BibT_eX]

[DOI]

Hossein Hajimirsadeghi

CoRR, 2022

2021

Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data.

[BibT_eX]

[DOI]

Yu Gong

Hossein Hajimirsadeghi

Jiawei He

Greg Mori

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Learning User Representations for Open Vocabulary Image Hashtag Prediction.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Exploiting Negative Evidence for Deep Latent Structured Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Point Process Flows.

[BibT_eX]

[DOI]

CoRR, 2019

LayoutVAE: Stochastic Scene Layout Generation From a Label Set.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Variational Auto-Encoder Model for Stochastic Point Processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning a Deep ConvNet for Multi-Label Classification With Partial Labels.

[BibT_eX]

[DOI]

Nazanin Mehrasa

Greg Mori

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Variational Selective Autoencoder.

[BibT_eX]

[DOI]

Yu Gong

Hossein Hajimirsadeghi

Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019

2018

SyMIL: MinMax Latent SVM for Weakly Labeled Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Weakly supervised learning for visual recognition. (Apprentissage faiblement supervisé pour la reconnaissance visuelle).

[BibT_eX]

[DOI]

Juana M. Gutiérrez-Arriola

PhD thesis, 2017

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation.

[BibT_eX]

[DOI]

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

2016

Synthetic Sound Event Detection based on MFCC.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Incremental learning of latent structural SVM for weakly supervised image classification.

[BibT_eX]

[DOI]

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

Semantic pooling for image categorization using multiple kernel learning.

[BibT_eX]

[DOI]

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

2013

Image classification using object detectors.

[BibT_eX]

[DOI]