no code implementations • 22 Dec 2023 • Piotr Bilinski, Thomas Merritt, Abdelhamid Ezzerg, Kamil Pokora, Sebastian Cygert, Kayoko Yanagisawa, Roberto Barra-Chicote, Daniel Korzekwa
As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities.
no code implementations • 31 Jul 2023 • Guangyan Zhang, Thomas Merritt, Manuel Sam Ribeiro, Biel Tura-Vecino, Kayoko Yanagisawa, Kamil Pokora, Abdelhamid Ezzerg, Sebastian Cygert, Ammar Abbas, Piotr Bilinski, Roberto Barra-Chicote, Daniel Korzekwa, Jaime Lorenzo-Trueba
Neural text-to-speech systems are often optimized on L1/L2 losses, which make strong assumptions about the distributions of the target data space.
no code implementations • 23 Jul 2023 • Ivan Vallés-Pérez, Grzegorz Beringer, Piotr Bilinski, Gary Cook, Roberto Barra-Chicote
We train a CLIP-based model with the aim to learn shared representations of phonetic and acoustic spaces.
no code implementations • 14 Nov 2022 • Ioanna Bouri, Manu Lahariya, Omer Nivron, Enrique Portales Julia, Dietmar Backes, Piotr Bilinski, Guy Schumann
Here, we offer the first global river flood prediction framework based on the newly published Caravan dataset.
no code implementations • 10 Nov 2022 • Abdelhamid Ezzerg, Thomas Merritt, Kayoko Yanagisawa, Piotr Bilinski, Magdalena Proszewska, Kamil Pokora, Renard Korzeniowski, Roberto Barra-Chicote, Daniel Korzekwa
Regional accents of the same language affect not only how words are pronounced (i. e., phonetic content), but also impact prosodic aspects of speech such as speaking rate and intonation.
no code implementations • 17 Dec 2020 • Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Freddie Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
Extreme precipitation events, such as violent rainfall and hail storms, routinely ravage economies and livelihoods around the developing world.
1 code implementation • CVPR 2020 • Yaohui Wang, Piotr Bilinski, Francois Bremond, Antitza Dantcheva
Creating realistic human videos entails the challenge of being able to simultaneously generate both appearance, as well as motion.
1 code implementation • 3 Jan 2019 • Bradley Gram-Hansen, Patrick Helber, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski
2) We show that it is possible to detect informal settlements using freely available low-resolution (LR) data, in contrast to previous studies that use very-high resolution (VHR) satellite and aerial imagery, something that is cost-prohibitive for NGOs.
1 code implementation • 5 Dec 2018 • Tim G. J. Rudner, Marc Rußwurm, Jakub Fil, Ramona Pelich, Benjamin Bischke, Veronika Kopackova, Piotr Bilinski
We propose a novel approach for rapid segmentation of flooded buildings by fusing multiresolution, multisensor, and multitemporal satellite imagery in a convolutional neural network.
no code implementations • 30 Nov 2018 • Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski
Detecting and mapping informal settlements encompasses several of the United Nations sustainable development goals.
no code implementations • 30 Nov 2018 • Patrick Helber, Bradley Gram-Hansen, Indhu Varatharajan, Faiza Azam, Alejandro Coca-Castro, Veronika Kopackova, Piotr Bilinski
We propose two effective methods for detecting and mapping the locations of informal settlements.
no code implementations • CVPR 2018 • Piotr Bilinski, Victor Prisacariu
We propose a novel end-to-end trainable, deep, encoder-decoder architecture for single-pass semantic segmentation.
Ranked #7 on Semantic Segmentation on CamVid