Journal Papers
Cruz, R., Hafemann, L., Sabourin, R., Cavalcanti, G. "DESlib: A Dynamic ensemble selection library in Python", Journal of Machine Learning Research, 2020. paper,
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Hafemann, L., Sabourin, R., Oliveira, L. "Meta-learning for fast classifier adaptation to new users of Signature Verification systems", IEEE Transactions on Information Forensics and Security
, 2019. paper,
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Hafemann, L., Sabourin, R., Oliveira, L. "Characterizing and evaluating adversarial examples for Offline Handwritten Signature Verification", IEEE Transactions on Information Forensics and Security
, 2019. paper,
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Hafemann, L., Sabourin, R., Oliveira, L. "Fixed-sized representation learning from Offline Handwritten Signatures of different sizes", International Journal on Document Analysis and Recognition (IJDAR), 2018. paper,
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Hafemann, L., Sabourin, R., Oliveira, L. "Learning Features for Offline Handwritten Signature Verification using Deep Convolutional Neural Networks", Pattern Recognition, 2017. paper,
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Conference Papers
Liu Y., Hafemann, L.A Scale-Invariant Trajectory Simplification Method for Efficient Data Collection in Videos", 9th International Workshop on Computer Vision in Sports at CVPR (CVPRW), 2023.
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Liu Y., Hafemann, L., Jamieson, M., Javan, M. "Detecting and Matching Related Objects with One Proposal Multiple Predictions", 7th International Workshop on Computer Vision in Sports at CVPR (CVPRW), 2021.
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Sanford, R.*, Gorji, S.*, Hafemann, L.* Pourbabaee, B., Javan, M. "Group Activity Detection from Trajectory and Video Data in Soccer", 6th International Workshop on Computer Vision in Sports at CVPR (CVPRW), 2020.
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Rony, J.*, Hafemann, L.*, Oliveira, L., Ben Ayed, I., Sabourin, R., Granger, E. "Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses", Conference on Computer Vision and Pattern Recognition (CVPR oral presentation), 2019.
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Hafemann, L., Sabourin, R., Oliveira, L., "Offline Handwritten Signature Verification - Literature Review", International Conference on Image Processing Theory, Tools and Applications (IPTA), 2017. link
Hafemann, L., Oliveira, L., Sabourin, R. "Analyzing features learned for Offline Signature Verification using Deep CNNs", International Conference on Pattern Recognition (ICPR), 2016. link
Hafemann, L., Oliveira, L., Sabourin, R. "Writer-independent Feature Learning for Offline Signature Verification using Deep Convolutional Neural Networks", International Joint Conference on Neural Networks (IJCNN), 2016. link
Hafemann, L., Cavalin, P., Oliveira, L., Sabourin, R. "Transferring Learning between Texture Classification Tasks using Convolutional Neural Networks", International Joint Conference on Neural Networks (IJCNN), 2015. link
Hafemann, L., Cavalin, P., Oliveira, L. "Forest Species Recognition using Deep Convolutional Neural Networks". 22nd International Conference on Pattern Recognition (ICPR), 2014. link
* Equal contribution
Thesis
Hafemann, L. "Learning features for offline handwritten signature verification", Ph.D. thesis, Systems Engineering Department, École de technologie supérieure, 2019.
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Hafemann, L. "An Analysis of Deep Neural Networks for Texture Classification", Master's thesis, Department of Informatics, Federal University of Paraná, 2014.
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Preprints
Abdoli, S., Hafemann, L., Rony, J., Ben Ayed, I., Cardinal, P., Koerich, A. "Universal Adversarial Audio Perturbations"
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