Boris Joukovsky

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 15

Top Topics

Recurrent Neural Networks

Invariant Features

Top Venues

IEEE Trans. Image Process.

Publications

Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing and Understanding Contrastive Learning. IEEE Trans. Image Process. 33 (2024)
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
Learned Layered Coding for Successive Refinement in the Wyner-Ziv Problem. ICASSP (2024)
Boris Joukovsky, Brent De Weerdt, Nikos Deligiannis
Learned layered coding for Successive Refinement in the Wyner-Ziv Problem. CoRR (2023)
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing Invariant Features in Vision Models. DSP (2023)
Xiangyu Yang, Boris Joukovsky, Nikos Deligiannis
Relevance Propagation through Deep Conditional Random Fields. ICASSP (2023)
Boris Joukovsky, Fawaz Sammani, Nikos Deligiannis
Model-Agnostic Visual Explanations via Approximate Bilinear Models. ICIP (2023)
Xinyue Zhang, Boris Joukovsky, Nikos Deligiannis
Quantitative Evaluation of Video Explainability Methods via Anomaly Localization. EUSIPCO (2023)
Fawaz Sammani, Boris Joukovsky, Nikos Deligiannis
Visualizing and Understanding Self-Supervised Vision Learning. CoRR (2022)
Noël Hallemans, Rik Pintelon, Boris Joukovsky, Dries Peumans, John Lataire
FRF estimation using multiple kernel-based regularisation. Autom. 136 (2022)
Boris Joukovsky, Tanmoy Mukherjee, Huynh Van Luong, Nikos Deligiannis
Generalization error bounds for deep unfolding RNNs. UAI (2021)
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
Designing Interpretable Recurrent Neural Networks for Video Reconstruction via Deep Unfolding. IEEE Trans. Image Process. 30 (2021)
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 (2020)
Huynh Van Luong, Boris Joukovsky, Nikos Deligiannis
Minimization: Architecture Design and Generalization Analysis. CoRR (2020)
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. EUSIPCO (2020)
Huynh Van Luong, Boris Joukovsky, Yonina C. Eldar, Nikos Deligiannis
A Deep-Unfolded Reference-Based RPCA Network For Video Foreground-Background Separation. CoRR (2020)