Apostolos Modas

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 25

Top Topics

Shape Estimation

Discriminative Features

Avoid Overfitting

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
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 (2023)
Jerone Theodore Alexander Andrews, Dora Zhao, William Thong, Apostolos Modas, Orestis Papakyriakopoulos, Alice Xiang
Ethical Considerations for Responsible Data Curation. NeurIPS (2023)
Apostolos Modas, Andrea Cavallaro, Pascal Frossard
Data augmentation with mixtures of max-entropy transformations for filling-level classification. CoRR (2022)
Apostolos Modas
Robustness and invariance properties of image classifiers. CoRR (2022)
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)
Apostolos Modas, Andrea Cavallaro, Pascal Frossard
Data augmentation with mixtures of max-entropy transformations for filling-level classification. EUSIPCO (2022)
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
Improving filling level classification with adversarial training. CoRR (2021)
Apostolos Modas, Alessio Xompero, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
Improving Filling Level Classification with Adversarial Training. ICIP (2021)
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 (2021)
Apostolos Modas, Rahul Rade, Guillermo Ortiz-Jiménez, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions. CoRR (2021)
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) (2021)
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 (2020)
Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
Towards robust sensing for Autonomous Vehicles: An adversarial perspective. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. CoRR (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Hold me tight! Influence of discriminative features on deep network boundaries. NeurIPS (2020)
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) (2020)
Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro
Multi-View Shape Estimation of Transparent Containers. ICASSP (2020)
Apostolos Modas, Ricardo Sanchez-Matilla, Pascal Frossard, Andrea Cavallaro
Toward Robust Sensing for Autonomous Vehicles: An Adversarial Perspective. IEEE Signal Process. Mag. 37 (4) (2020)
Guillermo Ortiz-Jiménez, Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
Neural Anisotropy Directions. NeurIPS (2020)
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
SparseFool: A Few Pixels Make a Big Difference. CVPR (2019)
Alessio Xompero, Ricardo Sanchez-Matilla, Apostolos Modas, Pascal Frossard, Andrea Cavallaro
Multi-view shape estimation of transparent containers. CoRR (2019)
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)
Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard
SparseFool: a few pixels make a big difference. CoRR (2018)