Camilo Fosco

According to our database, Camilo Fosco authored at least 15 papers between 2020 and 2023.

Collaborative distances:

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

2023

Artifact magnification on deepfake videos increases human detection and subjective confidence.

Emilie Josephs, Camilo Fosco, Aude Oliva

CoRR, 2023

Overview of The MediaEval 2023 Predicting Video Memorability Task.

Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Rukiye Savran Kiziltepe, Alan F. Smeaton, Lorin Sweeney

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Leveraging Temporal Context in Low Representational Power Regimes.

Camilo Luciano Fosco, SouYoung Jin, Emilie Josephs, Aude Oliva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Modular Memorability: Tiered Representations for Video Memorability Prediction.

Théo Dumont, Juan Segundo Hevia, Camilo Luciano Fosco

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Experiences from the MediaEval Predicting Media Memorability Task.

Alba Garcia Seco de Herrera, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana, Lorin Sweeney

CoRR, 2022

Deepfake Caricatures: Amplifying attention to artifacts increases deepfake detection by humans and machines.

Camilo Fosco, Emilie Josephs, Alex Andonian, Allen Lee, Xi Wang, Aude Oliva

CoRR, 2022

Overview of The MediaEval 2022 Predicting Video Memorability Task.

Lorin Sweeney, Mihai Gabriel Constantin, Claire-Hélène Demarty, Camilo Fosco, Alba Garcia Seco de Herrera, Sebastian Halder, Graham Healy, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Mushfika Sultana

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

2021

VA-RED²: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Fosco, Chung-Ching Lin, Alex Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

CoRR, 2021

Overview of The MediaEval 2021 Predicting Media Memorability Task.

Rukiye Savran Kiziltepe, Mihai Gabriel Constantin, Claire-Hélène Demarty, Graham Healy, Camilo Fosco, Alba García Seco de Herrera, Sebastian Halder, Bogdan Ionescu, Ana Matran-Fernandez, Alan F. Smeaton, Lorin Sweeney

Proceedings of the Working Notes Proceedings of the MediaEval 2021 Workshop, 2021

VA-RED2: Video Adaptive Redundancy Reduction.

Bowen Pan, Rameswar Panda, Camilo Luciano Fosco, Chung-Ching Lin, Alex J. Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogério Feris

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Predicting Visual Importance Across Graphic Design Types.

Camilo Fosco, Vincent Casser, Amish Kumar Bedi, Peter O'Donovan, Aaron Hertzmann, Zoya Bylinskii

Proceedings of the UIST '20: The 33rd Annual ACM Symposium on User Interface Software and Technology, 2020

Multimodal Memorability: Modeling Effects of Semantics and Decay on Video Memorability.

Anelise Newman, Camilo Fosco, Vincent Casser, Allen Lee, Barry A. McNamara, Aude Oliva

Proceedings of the Computer Vision - ECCV 2020, 2020

We Have So Much in Common: Modeling Semantic Relational Set Abstractions in Videos.

Alex Andonian, Camilo Fosco, Mathew Monfort, Allen Lee, Rogério Feris, Carl Vondrick, Aude Oliva

Proceedings of the Computer Vision - ECCV 2020, 2020

How Much Time Do You Have? Modeling Multi-Duration Saliency.

Camilo Fosco, Anelise Newman, Pat Sukhum, Yun Bin Zhang, Nanxuan Zhao, Aude Oliva, Zoya Bylinskii

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TurkEyes: A Web-Based Toolbox for Crowdsourcing Attention Data.

Anelise Newman, Barry A. McNamara, Camilo Fosco, Yun Bin Zhang, Pat Sukhum, Matthew Tancik, Nam Wook Kim, Zoya Bylinskii

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020