Grigory Antipov

According to our database, Grigory Antipov authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

VisQA: X-raying Vision and Language Reasoning in Transformers.

Theo Jaunet, Corentin Kervadec, Romain Vuillemot, Grigory Antipov, Moez Baccouche, Christian Wolf

IEEE Trans. Vis. Comput. Graph., 2022

An experimental study of the vision-bottleneck in VQA.

Pierre Marza, Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf

CoRR, 2022

2021

Are E2E ASR models ready for an industrial usage?

Valentin Vielzeuf, Grigory Antipov

CoRR, 2021

Supervising the Transfer of Reasoning Patterns in VQA.

Corentin Kervadec, Christian Wolf, Grigory Antipov, Moez Baccouche, Madiha Nadri

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

How Transferable Are Reasoning Patterns in VQA?

Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?

Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Estimating semantic structure for the VQA answer space.

Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf

CoRR, 2020

Automatic Quality Assessment for Audio-Visual Verification Systems. The LOVe Submission to NIST SRE Challenge 2019.

Grigory Antipov, Nicolas Gengembre, Olivier Le Blouch, Gaël Le Lan

Proceedings of the Interspeech 2020, 2020

Weak Supervision Helps Emergence of Word-Object Alignment and Improves Vision-Language Tasks.

Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2017

Deep learning for semantic description of visual human traits. (Apprentissage profond pour la description sémantique des traits visuels humains).

Grigory Antipov

PhD thesis, 2017

Effective training of convolutional neural networks for face-based gender and age prediction.

Grigory Antipov, Moez Baccouche, Sid-Ahmed Berrani, Jean-Luc Dugelay

Pattern Recognit., 2017

Face aging with conditional generative adversarial networks.

Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Boosting cross-age face verification via generative age normalization.

Grigory Antipov, Moez Baccouche, Jean-Luc Dugelay

Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

2016

Minimalistic CNN-based ensemble model for gender prediction from face images.

Grigory Antipov, Sid-Ahmed Berrani, Jean-Luc Dugelay

Pattern Recognit. Lett., 2016

Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models.

Grigory Antipov, Moez Baccouche, Sid-Ahmed Berrani, Jean-Luc Dugelay

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

2015

Learned vs. Hand-Crafted Features for Pedestrian Gender Recognition.

Grigory Antipov, Sid-Ahmed Berrani, Natacha Ruchaud, Jean-Luc Dugelay

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015