| INTEL-TAU: A Color Constancy Dataset F Laakom, J Raitoharju, A Iosifidis, J Nikkanen, M Gabbouj IEEE Access, 2021 | 51 | 2021 |
| Bag of color features for color constancy F Laakom, N Passalis, J Raitoharju, J Nikkanen, A Tefas, A Iosifidis, ... IEEE Transactions on Image Processing 29, 7722-7734, 2020 | 41 | 2020 |
| Color Constancy Convolutional Autoencoder F Laakom, J Raitoharju, A Iosifidis, J Nikkanen, M Gabbouj 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1085-1090, 2019 | 35 | 2019 |
| WLD-Reg: A Data-dependent Within-layer Diversity Regularizer F Laakom, J Raitoharju, A Iosifidis, M Gabbouj AAAI 2023, 2023 | 11* | 2023 |
| Reducing redundancy in the bottleneck representation of the autoencoders F Laakom, J Raitoharju, A Iosifidis, M Gabbouj arXiv preprint arXiv:2202.04629, 2022 | 10 | 2022 |
| Probabilistic color constancy F Laakom, J Raitoharju, A Iosifidis, U Tuna, J Nikkanen, M Gabbouj 2020 IEEE International Conference on Image Processing (ICIP), 978-982, 2020 | 10* | 2020 |
| On feature diversity in energy-based models F Laakom, J Raitoharju, A Iosifidis, M Gabbouj arXiv preprint arXiv:2306.01489, 2023 | 9 | 2023 |
| Monte Carlo dropout ensembles for robust illumination estimation F Laakom, J Raitoharju, A Iosifidis, J Nikkanen, M Gabbouj 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 9 | 2021 |
| Graph embedding with data uncertainty F Laakom, J Raitoharju, N Passalis, A Iosifidis, M Gabbouj IEEE access 10, 24232-24239, 2022 | 7 | 2022 |
| Learning distinct features helps, provably F Laakom, J Raitoharju, A Iosifidis, M Gabbouj Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 5 | 2023 |
| Learning to ignore: rethinking attention in CNNs F Laakom, K Chumachenko, J Raitoharju, A Iosifidis, M Gabbouj The 32nd British Machine Vision Conference (BMVC), 2021 | 5 | 2021 |
| Robust channel-wise illumination estimation F Laakom, J Raitoharju, J Nikkanen, A Iosifidis, M Gabbouj The 32nd British Machine Vision Conference (BMVC), 2021 | 4 | 2021 |
| Visual product tracking system using siamese neural networks T Jalonen, F Laakom, M Gabbouj, T Puoskari IEEE Access 9, 76796-76805, 2021 | 4 | 2021 |
| Newton method-based subspace support vector data description F Sohrab, F Laakom, M Gabbouj 2023 IEEE Symposium Series on Computational Intelligence (SSCI), 1372-1379, 2023 | 3 | 2023 |
| Efficient CNN with uncorrelated Bag of Features pooling F Laakom, J Raitoharju, A Iosifidis, M Gabbouj IEEE Symposium Series on Computational Intelligence (SSCI), 1082-1087, 2022 | 3 | 2022 |
| 2-D Predictive Filters for Polynomial Signals With Applications to Wind Profiler Data F Laakom Finnish URSI Convention on Radio Science, 2019 | 3 | 2019 |
| Convolutional autoencoder-based multimodal one-class classification F Laakom, F Sohrab, J Raitoharju, A Iosifidis, M Gabbouj arXiv preprint arXiv:2309.14090, 2023 | 1 | 2023 |
| Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes UC Entok, F Laakom, F Pakdaman, M Gabbouj arXiv preprint arXiv:2402.02922, 2024 | | 2024 |
| Class-wise Generalization Error: an Information-Theoretic Analysis F Laakom, Y Bu, M Gabbouj arXiv preprint arXiv:2401.02904, 2024 | | 2024 |
| Feature Diversity in Neural Networks: Theory and Algorithms F Laakom Tampere University, 2024 | | 2024 |
Moncef GabboujProfessor, Tampere UniversityVerified email at tuni.fi
