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Thibaut Durand
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2020 – today
- 2022
- [i6]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 abs/2211.05187 (2022) - 2021
- [c13]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. AISTATS 2021: 2377-2385 - [i5]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder: Learning from Partially-Observed Heterogeneous Data. CoRR abs/2102.12679 (2021) - 2020
- [c12]Thibaut Durand:
Learning User Representations for Open Vocabulary Image Hashtag Prediction. CVPR 2020: 9766-9775
2010 – 2019
- 2019
- [j2]Thibaut Durand
, Nicolas Thome, Matthieu Cord:
Exploiting Negative Evidence for Deep Latent Structured Models. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 337-351 (2019) - [c11]Yu Gong, Hossein Hajimirsadeghi, Jiawei He, Megha Nawhal, Thibaut Durand, Greg Mori:
Variational Selective Autoencoder. AABI 2019: 1-17 - [c10]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR 2019: 647-657 - [c9]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CVPR 2019: 3165-3174 - [c8]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation From a Label Set. ICCV 2019: 9894-9903 - [i4]Thibaut Durand, Nazanin Mehrasa, Greg Mori:
Learning a Deep ConvNet for Multi-label Classification with Partial Labels. CoRR abs/1902.09720 (2019) - [i3]Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
A Variational Auto-Encoder Model for Stochastic Point Processes. CoRR abs/1904.03273 (2019) - [i2]Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori:
LayoutVAE: Stochastic Scene Layout Generation from a Label Set. CoRR abs/1907.10719 (2019) - [i1]Nazanin Mehrasa, Ruizhi Deng, Mohamed Osama Ahmed, Bo Chang, Jiawei He, Thibaut Durand, Marcus A. Brubaker, Greg Mori:
Point Process Flows. CoRR abs/1910.08281 (2019) - 2018
- [j1]Thibaut Durand
SyMIL: MinMax Latent SVM for Weakly Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6099-6112 (2018) - 2017
- [b1]Thibaut Durand:
Weakly supervised learning for visual recognition. (Apprentissage faiblement supervisé pour la reconnaissance visuelle). Pierre and Marie Curie University, Paris, France, 2017 - [c7]Thibaut Durand, Taylor Mordan
WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. CVPR 2017: 5957-5966 - 2016
- [c6]Thibaut Durand, Nicolas Thome, Matthieu Cord:
WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. CVPR 2016: 4743-4752 - [c5]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: 30-34 - 2015
- [c4]Thibaut Durand, Nicolas Thome, Matthieu Cord:
MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. ICCV 2015: 2713-2721 - 2014
- [c3]Thibaut Durand, David Picard
Semantic pooling for image categorization using multiple kernel learning. ICIP 2014: 170-174 - [c2]Thibaut Durand, Nicolas Thome, Matthieu Cord, David Picard
Incremental learning of latent structural SVM for weakly supervised image classification. ICIP 2014: 4246-4250 - 2013
- [c1]Thibaut Durand, Nicolas Thome, Matthieu Cord, Sandra Eliza Fontes de Avila
Image classification using object detectors. ICIP 2013: 4340-4344
Coauthor Index
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