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ORCIDBoris Joukovsky
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Journal Articles
- 2024
[j4]Fawaz Sammani
, Boris Joukovsky, Nikos Deligiannis:
Visualizing and Understanding Contrastive Learning. IEEE Trans. Image Process. 33: 541-555 (2024)- [j3]Yuqing Yang, Boris Joukovsky, José Oramas Mogrovejo, Tinne Tuytelaars, Nikos Deligiannis:
SNIPPET: A Framework for Subjective Evaluation of Visual Explanations Applied to DeepFake Detection. ACM Trans. Multim. Comput. Commun. Appl. 20(8): 253:1-253:29 (2024) - 2022
- [j2]Noël Hallemans, Rik Pintelon, Boris Joukovsky, Dries Peumans, John Lataire:
FRF estimation using multiple kernel-based regularisation. Autom. 136: 110056 (2022) - 2021
- [j1]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. 30: 4099-4113 (2021)
Conference and Workshop Papers
- 2024
- [c7]Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis:
Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. ICASSP 2024: 6020-6024 - 2023
- [c6]Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis:
Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. EUSIPCO 2023: 1235-1239 - [c5]Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis:
Relevance Propagation through Deep Conditional Random Fields. ICASSP 2023: 1-5 - [c4]Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis:
Visualizing Invariant Features in Vision Models. DSP 2023: 1-5 - [c3]Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis:
Model-Agnostic Visual Explanations via Approximate Bilinear Models. ICIP 2023: 1770-1774 - 2021
- [c2]Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis:
Generalization error bounds for deep unfolding RNNs. UAI 2021: 1515-1524 - 2020
- [c1]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO 2020: 1432-1436
Data and Artifacts
- 2021
- [d1]Boris Joukovsky, Huynh Van Luong, Nikos Deligiannis:
reweighted-RNN: An Interpretable Recurrent Neural Network for Video Reconstruction via Deep Unfolding. Zenodo, 2021
Informal and Other Publications
- 2023
- [i5]Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis:
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem. CoRR abs/2311.03061 (2023) - 2022
- [i4]Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis:
Visualizing and Understanding Self-Supervised Vision Learning. CoRR abs/2206.09753 (2022) - 2020
- [i3]Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis:
Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted 𝓁1-𝓁1 Minimization: Architecture Design and Generalization Analysis. CoRR abs/2003.08334 (2020) - [i2]Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis:
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR abs/2010.00929 (2020) - [i1]Abel Díaz Berenguer, Hichem Sahli, Boris Joukovsky, Maryna Kvasnytsia, Ine Dirks, Mitchel Alioscha-Pérez, Nikos Deligiannis, Panagiotis Gonidakis, Sebastián Amador Sánchez, Redona Brahimetaj, Evgenia Papavasileiou, Jonathan Cheung-Wai Chan, Fei Li, Shangzhen Song, Yixin Yang, Sofie Tilborghs, Siri Willems, Tom Eelbode, Jeroen Bertels, Dirk Vandermeulen, Frederik Maes, Paul Suetens, Lucas Fidon, Tom Vercauteren, David Robben, Arne Brys, Dirk Smeets, Bart Ilsen, Nico Buls, Nina Watté, Johan de Mey, Annemiek Snoeckx, Paul M. Parizel, Julien Guiot, Louis Deprez, Paul Meunier, Stefaan Gryspeerdt, Kristof De Smet, Bart Jansen, Jef Vandemeulebroucke:
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. CoRR abs/2011.11719 (2020)
Coauthor Index
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