A fully dense and globally consistent 3D map reconstruction approach for GI tract to enhance therapeutic relevance of the endoscopic capsule robot. - Mehmet Turan; Yusuf Yigit Pilavci; Redhwan Jamiruddin; Helder Araújo; Ender Konukoglu; Metin Sitti (CoRR, 2017)

Sparse-then-dense alignment-based 3D map reconstruction method for endoscopic capsule robots. - Mehmet Turan; Yusuf Yigit Pilavci; Ipek Ganiyusufoglu; Helder Araújo; Ender Konukoglu; Metin Sitti (Mach. Vis. Appl., 2018)

Spectral Graph Wavelet Transform as Feature Extractor for Machine Learning in Neuroimaging. - Yusuf Yigit Pilavci; Nicolas Farrugia (ICASSP, 2019)

Smoothing Graph Signals via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (ICASSP, 2020)

Graph Tikhonov Regularization and Interpolation Via Random Spanning Forests. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (IEEE Trans. Signal Inf. Process. over Networks, 2021)

Variance Reduction in Stochastic Methods for Large-Scale Regularized Least-Squares Problems. - Yusuf Yigit Pilavci; Pierre-Olivier Amblard; Simon Barthelmé; Nicolas Tremblay (EUSIPCO, 2022)

Denoising Bivariate Signals via Smoothing and Polarization Priors. - Yusuf Yigit Pilavci; Jérémie Boulanger; Pierre-Antoine Thouvenin; Pierre Chainais (EUSIPCO, 2024)

Graph domain adaptation with localized graph signal representations. - Yusuf Yigit Pilavci; Eylem Tugçe Güneyi; Cemil Cengiz; Elif Vural (Pattern Recognit., 2024)

Synthetic-data-driven Plug-and-Play method for inverse problems on bivariate signals. - Pierre Palud; Eric Chassande-Mottin; Yusuf Yigit Pilavci (SSP, 2025)

Time and covariance smoothing for restoration of bivariate signals. - Yusuf Yigit Pilavci; Pierre Palud; Julien Flamant; Pierre-Antoine Thouvenin; Jérémie Boulanger; Pierre Chainais (SSP, 2025)