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2020 – today
- 2024
[c11]Yusuke Hirota, Jerone Theodore Alexander Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang:
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. EMNLP 2024: 8249-8267- [i13]Yusuke Hirota, Jerone T. A. Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang:
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. CoRR abs/2407.03623 (2024) - 2023
- [c10]Jerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang:
Ethical Considerations for Responsible Data Curation. NeurIPS 2023 - [i12]Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, Alice Xiang:
Ethical Considerations for Collecting Human-Centric Image Datasets. CoRR abs/2302.03629 (2023) - 2022
- [c9]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) 2022: 623-640 - [c8]Apostolos Modas, Andrea Cavallaro, Pascal Frossard:
Data augmentation with mixtures of max-entropy transformations for filling-level classification. EUSIPCO 2022: 1606-1610 - [i11]Apostolos Modas, Andrea Cavallaro, Pascal Frossard:
Data augmentation with mixtures of max-entropy transformations for filling-level classification. CoRR abs/2203.04027 (2022) - [i10]Apostolos Modas:
Robustness and invariance properties of image classifiers. CoRR abs/2209.02408 (2022) - 2021
- [j3]Guillermo Ortiz-Jiménez
, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE 109(5): 635-659 (2021) - [c7]Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving Filling Level Classification with Adversarial Training. ICIP 2021: 829-833 - [i9]Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Improving filling level classification with adversarial training. CoRR abs/2102.04057 (2021) - [i8]Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
A neural anisotropic view of underspecification in deep learning. CoRR abs/2104.14372 (2021) - [i7]Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR abs/2112.13547 (2021) - 2020
- [j2]Ricardo Sanchez-Matilla, Konstantinos I. Chatzilygeroudis, Apostolos Modas, Nuno Ferreira Duarte, Alessio Xompero, Pascal Frossard, Aude Billard, Andrea Cavallaro:
Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling. IEEE Robotics Autom. Lett. 5(2): 1642-1649 (2020) - [j1]Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. IEEE Signal Process. Mag. 37(4): 14-23 (2020) - [c6]Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-View Shape Estimation of Transparent Containers. ICASSP 2020: 2363-2367 - [c5]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS 2020 - [c4]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. NeurIPS 2020 - [i6]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR abs/2002.06349 (2020) - [i5]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Neural Anisotropy Directions. CoRR abs/2006.09717 (2020) - [i4]Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro:
Towards robust sensing for Autonomous Vehicles: An adversarial perspective. CoRR abs/2007.10115 (2020) - [i3]Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR abs/2010.09624 (2020)
2010 – 2019
- 2019
- [c3]Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: A Few Pixels Make a Big Difference. CVPR 2019: 9087-9096 - [i2]Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro:
Multi-view shape estimation of transparent containers. CoRR abs/1911.12354 (2019) - 2018
- [c2]Apostolos Modas, Simone Casale Brunet, Robert J. Stewart, Endri Bezati, Junaid Jameel Ahmad, Marco Mattavelli:
Shared-variable Synchronization Approaches for Dynamic Data Flow Programs. SiPS 2018: 263-268 - [i1]Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard:
SparseFool: a few pixels make a big difference. CoRR abs/1811.02248 (2018) - 2015
- [c1]Demosthenes Akoumianakis, Chrisoula Alexandraki, V. Alexiou, Christina Anagnostopoulou, A. Eleftheriadis, Vasiliki Lalioti, Yiannis Mastorakis, Apostolos Modas, Athanasios Mouchtaris, Despoina Pavlidi, George C. Polyzos, Panagiotis Tsakalides, George Xylomenos, Panagiotis Zervas:
The MusiNet project: Addressing the challenges in Networked Music Performance systems. IISA 2015: 1-6
Coauthor Index
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last updated on 2024-11-15 19:33 CET by the dblp team
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