Selected Publications

2024

1. Nguyen, G., Taesiri, M.R., Kim, S.S. and Nguyen, A., 2024. Allowing humans to interactively guide machines where to look does not always improve a human-AI team’s classification accuracy. (CVPRW2024)

2. Nguyen, G., Chen, V., Taesiri, M.R. and Nguyen, A., 2024. PCNN: Probable-Class Nearest-Neighbor Explanations Improve Fine-Grained Image Classification Accuracy for AIs and Humans. (TMLR2024)

2023

1. Taesiri, M.R., Nguyen, G., Habchi, S., Bezemer, C.P. and Nguyen, A., 2023. Imagenet-hard: The hardest images remaining from a study of the power of zoom and spatial biases in image classification. (NeurIPS2023).

2022

1. Nguyen, G., Taesiri, M., Nguyen, A., 2022. Visual correspondence-based explanations improve human-AI team accuracy. (NeurIPS2022, XAI4CV@CVPR2022). Two first authors contributed equally.

2021

1. Nguyen, G., Kim, D. and Nguyen, A., 2021. The effectiveness of feature attribution methods and its correlation with automatic evaluation scores. (NeurIPS2021, WHMD@NeurIPS2021).

2020

1. Nguyen G., Chen S., Jun T.J., Kim D. (2021) Explaining How Deep Neural Networks Forget by Deep Visualization. (ICPR2020).

2019

1. Nguyen, G., Jun, T.J., Tran, T., Yalew, T. and Kim, D., 2019. ContCap: A scalable framework for continual image captioning. arXiv preprint arXiv:1909.08745.