Apostolos Modas

28 papers A* 5B 1Misc 1Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fair human-centric image dataset for ethical AI benchmarking. Nat. Alice Xiang, Jerone T. A. Andrews, Rebecca Bourke, William Thong, Julienne LaChance, Tiffany Georgievski, Apostolos Modas, Aida Rahmattalabbi, Yunhao Ba, Shruti Nagpal, Orestis Papakyriakopoulos, Dora Zhao, Jinru Xue, Victoria Matthews, Linxia Gong, Austin Hoag, Mircea Cimpoi, Swami Sankaranarayanan, Wiebke Hutiri, Morgan Klaus Scheuerman, Albert S. Abedi, Peter Stone, Peter R. Wurman, Hiroaki Kitano, Michael Spranger
2024	A*	`conf`	Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. EMNLP Yusuke Hirota, Jerone Theodore Alexander Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang
2024	J	`jnl`	Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes. CoRR Yusuke Hirota, Jerone T. A. Andrews, Dora Zhao, Orestis Papakyriakopoulos, Apostolos Modas, Yuta Nakashima, Alice Xiang
2023	J	`jnl`	Ethical Considerations for Collecting Human-Centric Image Datasets. CoRR Jerone T. A. Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Shruti Nagpal, Alice Xiang
2023	A*	`conf`	Ethical Considerations for Responsible Data Curation. NeurIPS Jerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang
2022	—	`conf`	Data augmentation with mixtures of max-entropy transformations for filling-level classification. EUSIPCO Apostolos Modas, Andrea Cavallaro, Pascal Frossard
2022	J	`jnl`	Data augmentation with mixtures of max-entropy transformations for filling-level classification. CoRR Apostolos Modas, Andrea Cavallaro, Pascal Frossard
2022	—	`conf`	PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. ECCV (25) Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2022	J	`jnl`	Robustness and invariance properties of image classifiers. CoRR Apostolos Modas
2021	J	`jnl`	A neural anisotropic view of underspecification in deep learning. CoRR Guillermo Ortiz-Jiménez, Itamar Franco Salazar-Reque, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	B	`conf`	Improving Filling Level Classification with Adversarial Training. ICIP Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
2021	J	`jnl`	Improving filling level classification with adversarial training. CoRR Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
2021	J	`jnl`	Optimism in the Face of Adversity: Understanding and Improving Deep Learning Through Adversarial Robustness. Proc. IEEE Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2021	J	`jnl`	PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Benchmark for Human-to-Robot Handovers of Unseen Containers With Unknown Filling. IEEE Robotics Autom. Lett. Ricardo Sanchez-Matilla, Konstantinos I. Chatzilygeroudis, Apostolos Modas, Nuno Ferreira Duarte, Alessio Xompero, Pascal Frossard, Aude Billard, Andrea Cavallaro
2020	A*	`conf`	Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Hold me tight! Influence of discriminative features on deep network boundaries. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	Misc	`conf`	Multi-View Shape Estimation of Transparent Containers. ICASSP Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro
2020	A*	`conf`	Neural Anisotropy Directions. NeurIPS Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Neural Anisotropy Directions. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness. CoRR Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2020	J	`jnl`	Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. IEEE Signal Process. Mag. Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
2020	J	`jnl`	Towards robust sensing for Autonomous Vehicles: An adversarial perspective. CoRR Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
2019	J	`jnl`	Multi-view shape estimation of transparent containers. CoRR Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro
2019	A*	`conf`	SparseFool: A Few Pixels Make a Big Difference. CVPR Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2018	—	`conf`	Shared-variable Synchronization Approaches for Dynamic Data Flow Programs. SiPS Apostolos Modas, Simone Casale Brunet, Robert J. Stewart, Endri Bezati, Junaid Jameel Ahmad, Marco Mattavelli
2018	J	`jnl`	SparseFool: a few pixels make a big difference. CoRR Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
2015	—	`conf`	The MusiNet project: Addressing the challenges in Networked Music Performance systems. IISA 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