A distortion evaluation framework in 3D video view synthesis. - Andrei I. Purica; Marco Cagnazzo; Béatrice Pesquet-Popescu; Frédéric Dufaux; Bogdan Ionescu (IC3D, 2015)

Improved view synthesis by motion warping and temporal hole filling. - Andrei I. Purica; Elie Gabriel Mora; Béatrice Pesquet-Popescu; Marco Cagnazzo; Bogdan Ionescu (ICASSP, 2015)

View synthesis based on temporal prediction via warped motion vector fields. - Andrei I. Purica; Marco Cagnazzo; Béatrice Pesquet-Popescu; Frédéric Dufaux; Bogdan Ionescu (ICASSP, 2016)

Using region-of-interest for quality evaluation of DIBR-based view synthesis methods. - Andrei I. Purica; Giuseppe Valenzise; Béatrice Pesquet-Popescu; Frédéric Dufaux (QoMEX, 2016)

Multiview Plus Depth Video Coding With Temporal Prediction View Synthesis. - Andrei I. Purica; Elie Gabriel Mora; Béatrice Pesquet-Popescu; Marco Cagnazzo; Bogdan Ionescu (IEEE Trans. Circuits Syst. Video Technol., 2016)

A railroad detection algorithm for infrastructure surveillance using enduring airborne systems. - Andrei I. Purica; Béatrice Pesquet-Popescu; Frédéric Dufaux (ICASSP, 2017)

A study of norms in convex optimization super-resolution from compressed sources. - Andrei I. Purica; Benoit Boyadjis; Béatrice Pesquet-Popescu; Frédéric Dufaux (MMSP, 2017)

Synthèse de vues et reconstruction de vues à partir de vidéos compressées multi-vues et multi-sources. (View synthesis and view reconstruction from multi-view and multi-source compressed video). - Andrei I. Purica (2017)

Video enhancement with convex optimization methods. - Benoit Boyadjis; Andrei I. Purica; Béatrice Pesquet-Popescu; Frédéric Dufaux (ICASSP, 2018)

Quality Assessment of Deep-Learning-Based Image Compression. - Giuseppe Valenzise; Andrei I. Purica; Vedad Hulusic; Marco Cagnazzo (MMSP, 2018)

A Hybrid Approach to Wide Baseline View Synthesis with Convolutional Neural Networks. - Nour Hobloss; Andrei I. Purica; Attilio Fiandrotti; Marco Cagnazzo; Rémi Cozot; Wassim Hamidouche (IC3D, 2019)

Enhancing HEVC Spatial Prediction by Context-based Learning. - Li Wang; Attilio Fiandrotti; Andrei I. Purica; Giuseppe Valenzise; Marco Cagnazzo (ICASSP, 2019)

A Convex Optimization Framework for Video Quality and Resolution Enhancement From Multiple Descriptions. - Andrei I. Purica; Benoit Boyadjis; Béatrice Pesquet-Popescu; Frédéric Dufaux; Cyril Bergeron (IEEE Trans. Image Process., 2019)

A second-order-like optimizer with adaptive gradient scaling for deep learning. - Jérôme Bolte; Ryan Boustany; Edouard Pauwels; Andrei I. Purica (CoRR, 2024)