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ORCIDFiras Laakom
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2020 – today
- 2024
[b1]Firas Laakom:
Feature Diversity in Neural Networks: Theory and Algorithms. University of Tampere, Finland, 2024- [j5]Firas Laakom
, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing redundancy in the bottleneck representation of autoencoders. Pattern Recognit. Lett. 178: 202-208 (2024) - [i17]Firas Laakom, Yuheng Bu, Moncef Gabbouj:
Class-wise Generalization Error: an Information-Theoretic Analysis. CoRR abs/2401.02904 (2024) - [i16]Umut Cem Entok, Firas Laakom, Farhad Pakdaman, Moncef Gabbouj:
Pixel-Wise Color Constancy via Smoothness Techniques in Multi-Illuminant Scenes. CoRR abs/2402.02922 (2024) - 2023
- [c9]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-Dependent Within-Layer Diversity Regularizer. AAAI 2023: 8421-8429 - [c8]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning Distinct Features Helps, Provably. ECML/PKDD (2) 2023: 206-222 - [c7]Fahad Sohrab, Firas Laakom, Moncef Gabbouj:
Newton Method-Based Subspace Support Vector Data Description. SSCI 2023: 1372-1379 - [i15]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer. CoRR abs/2301.01352 (2023) - [i14]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
On Feature Diversity in Energy-based Models. CoRR abs/2306.01489 (2023) - [i13]Fahad Sohrab, Firas Laakom, Moncef Gabbouj:
Newton Method-based Subspace Support Vector Data Description. CoRR abs/2309.13960 (2023) - [i12]Firas Laakom, Fahad Sohrab, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Convolutional autoencoder-based multimodal one-class classification. CoRR abs/2309.14090 (2023) - 2022
- [j4]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding With Data Uncertainty. IEEE Access 10: 24232-24239 (2022) - [c6]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Efficient CNN with uncorrelated Bag of Features pooling. SSCI 2022: 1082-1087 - [d1]Tuomas Jalonen, Firas Laakom, Moncef Gabbouj, Tuomas Puoskari:
Veneer21. IEEE DataPort, 2022
- [i11]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Reducing Redundancy in the Bottleneck Representation of the Autoencoders. CoRR abs/2202.04629 (2022) - [i10]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Non-Linear Spectral Dimensionality Reduction Under Uncertainty. CoRR abs/2202.04678 (2022) - [i9]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Efficient CNN with uncorrelated Bag of Features pooling. CoRR abs/2209.10865 (2022) - 2021
- [j3]Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. IEEE Access 9: 39560-39567 (2021) - [j2]Tuomas Jalonen, Firas Laakom, Moncef Gabbouj, Tuomas Puoskari:
Visual Product Tracking System Using Siamese Neural Networks. IEEE Access 9: 76796-76805 (2021) - [c5]Firas Laakom, Jenni Raitoharju, Jarno Nikkanen, Alexandros Iosifidis, Moncef Gabbouj:
Robust channel-wise illumination estimation. BMVC 2021: 104 - [c4]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. BMVC 2021: 216 - [c3]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. IJCNN 2021: 1-7 - [i8]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Within-layer Diversity Reduces Generalization Gap. CoRR abs/2106.06012 (2021) - [i7]Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj:
Learning to ignore: rethinking attention in CNNs. CoRR abs/2111.05684 (2021) - 2020
- [j1]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features for Color Constancy. IEEE Trans. Image Process. 29: 7722-7734 (2020) - [c2]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. ICIP 2020: 978-982 - [i6]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Uygar Tuna, Jarno Nikkanen, Moncef Gabbouj:
Probabilistic Color Constancy. CoRR abs/2005.02730 (2020) - [i5]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Monte Carlo Dropout Ensembles for Robust Illumination Estimation. CoRR abs/2007.10114 (2020) - [i4]Firas Laakom, Jenni Raitoharju, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj:
Graph Embedding with Data Uncertainty. CoRR abs/2009.00505 (2020)
2010 – 2019
- 2019
- [c1]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. SSCI 2019: 1085-1090 - [i3]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
Color Constancy Convolutional Autoencoder. CoRR abs/1906.01340 (2019) - [i2]Firas Laakom, Nikolaos Passalis, Jenni Raitoharju, Jarno Nikkanen, Anastasios Tefas, Alexandros Iosifidis, Moncef Gabbouj:
Bag of Color Features For Color Constancy. CoRR abs/1906.04445 (2019) - [i1]Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Jarno Nikkanen, Moncef Gabbouj:
INTEL-TAU: A Color Constancy Dataset. CoRR abs/1910.10404 (2019)
Coauthor Index
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last updated on 2024-08-05 21:14 CEST by the dblp team
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