Thibaut Durand

ORCID

Publication Activity (10 Years)

Years Active: 2013-2022
Publications (10 Years): 17

Top Venues

Pierre and Marie Curie University, Paris, France (PHD)

Education History

Pierre and Marie Curie University, Paris, France

PHD

Publications

Saghar Irandoust, Thibaut Durand, Yunduz Rakhmangulova, Wenjie Zi, Hossein Hajimirsadeghi
Training a Vision Transformer from scratch in less than 24 hours with 1 GPU. CoRR (2022)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS (2021)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR (2021)
Thibaut Durand
Learning User Representations for Open Vocabulary Image Hashtag Prediction. CVPR (2020)
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR (2019)
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR (2019)
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR (2019)
Thibaut Durand, Nazanin Mehrasa, Greg Mori
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR (2019)
Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori
Variational Selective Autoencoder. AABI (2019)
Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus Brubaker, Greg Mori
Point Process Flows. CoRR (2019)
Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV (2019)
Thibaut Durand, Nicolas Thome, Matthieu Cord
Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. 41 (2) (2019)
Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR (2019)
Thibaut Durand, Nicolas Thome, Matthieu Cord
SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29 (12) (2018)
Thibaut Durand, Taylor Mordan, Nicolas Thome, Matthieu Cord
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR (2017)
Juana M. Gutiérrez-Arriola, Rubén Fraile, Alexander Camacho, Thibaut Durand, Jaime L. Jarrín, Shirley R. Mendoza
Synthetic Sound Event Detection based on MFCC. DCASE (2016)
Thibaut Durand, Nicolas Thome, Matthieu Cord
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR (2016)
Thibaut Durand, Nicolas Thome, Matthieu Cord
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV (2015)
Thibaut Durand, David Picard, Nicolas Thome, Matthieu Cord
Semantic pooling for image categorization using multiple kernel learning. ICIP (2014)
Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
Incremental learning of latent structural SVM for weakly supervised image classification. ICIP (2014)
Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila
Image classification using object detectors. ICIP (2013)

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Publication Activity (10 Years)

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Thibaut Durand