Zoë Papakipos

According to our database, Zoë Papakipos authored at least 8 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Data-Driven but Privacy-Conscious: Pedestrian Dataset De-identification via Full-Body Person Synthesis.

Maxim Maximov, Tim Meinhardt, Ismail Elezi, Zoe Papakipos, Caner Hazirbas, Cristian Canton-Ferrer, Laura Leal-Taixé

CoRR, 2023

2022

AugLy: Data Augmentations for Robustness.

Zoe Papakipos, Joanna Bitton

CoRR, 2022

AugLy: Data Augmentations for Adversarial Robustness.

Zoë Papakipos, Joanna Bitton

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

The 2021 Image Similarity Dataset and Challenge.

Matthijs Douze, Giorgos Tolias, Ed Pizzi, Zoë Papakipos, Lowik Chanussot, Filip Radenovic, Tomás Jenícek, Maxim Maximov, Laura Leal-Taixé, Ismail Elezi, Ondrej Chum, Cristian Canton-Ferrer

CoRR, 2021

Results and findings of the 2021 Image Similarity Challenge.

Zoë Papakipos, Giorgos Tolias, Tomás Jenícek, Ed Pizzi, Shuhei Yokoo, Wenhao Wang, Yifan Sun, Weipu Zhang, Yi Yang, Sanjay Addicam, Sergio Manuel Papadakis, Cristian Canton-Ferrer, Ondrej Chum, Matthijs Douze

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2019

ReNeg and Backseat Driver: Learning from Demonstration with Continuous Human Feedback.

Jacob Beck, Zoe Papakipos, Michael L. Littman

CoRR, 2019

Stackelberg Punishment and Bully-Proofing Autonomous Vehicles.

Matt Cooper, Jun Ki Lee, Jacob Beck, Joshua D. Fishman, Michael Gillett, Zoë Papakipos, Aaron Zhang, Jerome Ramos, Aansh Shah, Michael L. Littman

Proceedings of the Social Robotics - 11th International Conference, 2019

2018

Neural Mesh: Introducing a Notion of Space and Conservation of Energy to Neural Networks.

Jacob Beck, Zoe Papakipos

CoRR, 2018