Damien Teney - Idiap Publications

First name(s):	Damien
Last name(s):	Teney

Idiap Scientific Report 2022, Hervé Bourlard, Daniel Gatica-Perez, Jean-Marc Odobez, Philip N. Garner, Petr Motlicek, Mathew Magimai.-Doss, Sylvain Calinon, Sébastien Marcel, Jérôme Kämpf, Raphaelle Luisier, Michael Liebling, Lonneke van der Plas, Damien Teney, Ina Kodrasi, Emmanuel Senft, James Henderson, Andre Freitas and André Anjos, Idiap-RR-05-2023

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Active Learning by Feature Mixing, Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel and Javen Qinfeng Shi, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EBMs vs. CL: Exploring Self-Supervised Visual Pretraining for Visual Question Answering, Violetta Shevchenko, Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel and Damien Teney, in: arXiv, 2022

Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization, Damien Teney, Ehsan Abbasnejad, Simon Lucey and Anton van den Hengel, in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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ID and OOD performance are sometimes inversely correlated on real-world datasets, Damien Teney, Yong Lin, Seong Joon Oh and Ehsan Abbasnejad, in: arXiv, 2022

Predicting is not understanding: Recognizing and addressing underspecification in machine learning, Damien Teney, Ehsan Abbasnejad and Maxime Peyrard, in: European Conference on Computer Vision, pages 458-476, Springer, 2022

Reasoning over vision and language: Exploring the benefits of supplemental knowledge, Violetta Shevchenko, Damien Teney, Anthony Dick and Anton van den Hengel, in: arXiv, 2022

SelecMix: Debiased Learning by Contradicting-pair Sampling, Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim and Byoung-Tak Zhang, in: Advances in Neural Information Processing Systems, 2022

SelecMix: Debiased Learning by Mixing up Contradicting Pairs, Inwoo Hwang, Sangjun Lee, Yunhyeok Kwak, Seong Joon Oh, Damien Teney, Jin-Hwa Kim and Byoung-Tak Zhang, in: ICML Workshop on Spurious Correlations, Invariance and Stability, 2022

Vision-Language Pretraining: Current Trends and the Future, Aishwarya Agrawal, Damien Teney and Aida Nematzadeh, in: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2022

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Beyond question-based biases: Assessing multimodal shortcut learning in visual question answering, Corentin Dancette, Remi Cadene, Damien Teney and Matthieu Cord, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

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Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models, Zheyuan Liu, Cristian Rodriguez-Opazo, Damien Teney and Stephen Gould, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

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Unshuffling data for improved generalization in visual question answering, Damien Teney, Ehsan Abbasnejad and Anton van den Hengel, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2021

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