Selected Publications
2023
Exploring Pointwise Similarity of Representations
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P Gummadi
ArXiv, 2023.
Do invariances in deep neural networks align with human perception?
Vedant Nanda, Ayan Majumdar, Camila Kolling, John P Dickerson, Krishna P Gummadi, Bradley C Love, Adrian Weller
Proceedings of the AAAI Conference on Artificial Intelligence, 2023.
Mitigating bias in facial analysis systems by incorporating label diversity
Camila Kolling, Victor Araujo, Adriano Veloso, Soraia Raupp Musse
Computers & Graphics, 2023.
2022
Measuring representational robustness of neural networks through shared invariances
Vedant Nanda, Till Speicher, Camila Kolling, John P Dickerson, Krishna Gummadi, Adrian Weller
International Conference on Machine Learning (ICML), 2022.
Efficient counterfactual debiasing for visual question answering
Camila Kolling, Martin More, Nathan Gavenski, Eduardo Pooch, Otávio Parraga, Rodrigo C Barros
Winter conference on applications of computer vision (WACV), 2022.
2020
Component analysis for visual question answering architectures
Camila Kolling, Jônatas Wehrmann, Rodrigo C Barros.
International Joint Conference on Neural Networks (IJCNN), 2021.
Adaptive cross-modal embeddings for image-text alignment
Jonatas Wehrmann, Camila Kolling, Rodrigo C Barros.
Proceedings of the AAAI conference on artificial intelligence, 2020.
How Does Computer Animation Affect Our Perception of Emotions in Video Summarization?
Camila Kolling, Victor Araujo, Rodrigo C Barros, Soraia Raupp Musse.
Advances in Visual Computing: 15th International Symposium (ISVC), 2020.
2019
Fast and efficient text classification with class-based embeddings
Jônatas Wehrmann, Camila Kolling, Rodrigo C Barros.
International Joint Conference on Neural Networks (IJCNN), 2019.