Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Michał Stypułkowski"'
Publikováno v:
Entropy, Vol 26, Iss 9, p 726 (2024)
Enhancing low-light images with natural colors poses a challenge due to camera processing variations and limited access to ground-truth lighting conditions. To address this, we propose Dimma, a semi-supervised approach that aligns with any camera usi
Externí odkaz:
https://doaj.org/article/e42444f73c28463b8ad666986e11a0b1
Autor:
Kacper Kania, Michał Stypułkowski, Tomasz Trzcinski, Maciej Zamorski, Jan Chorowski, Maciej Zięba
Publikováno v:
Pattern Recognition Letters. 150:26-32
In this paper, we propose a simple yet effective method to represent point clouds as sets of samples drawn from a cloud-specific probability distribution. This interpretation matches intrinsic characteristics of point clouds: the number of points and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23a1effbf27baccdbc66289ddf8dbe11
https://doi.org/10.1016/j.patrec.2021.07.001
https://doi.org/10.1016/j.patrec.2021.07.001
Contemporary deep neural networks offer state-of-the-art results when applied to visual reasoning, e.g., in the context of 3D point cloud data. Point clouds are important datatype for precise modeling of three-dimensional environments, but effective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ece25f333bd090e427ca1d5423ff42eb
http://arxiv.org/abs/2205.08013
http://arxiv.org/abs/2205.08013
Autor:
Ricard Marxer, Jarosław Dzikowski, Piotr Pusz, Grzegorz Ciesielski, Michał Stypułkowski, Mateusz Opala, Jan Chorowski, Paweł Rychlikowski, Adrian Łańcucki
Publikováno v:
Interspeech 2021
Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.971-975, ⟨10.21437/Interspeech.2021-1465⟩
Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.971-975, ⟨10.21437/Interspeech.2021-1465⟩
We present a number of low-resource approaches to the tasks of the Zero Resource Speech Challenge 2021. We build on the unsupervised representations of speech proposed by the organizers as a baseline, derived from CPC and clustered with the k-means a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e8759e91b1b71d066acdf6b7cb2bffb
https://hal.science/hal-03408592/file/chorowski21_interspeech.pdf
https://hal.science/hal-03408592/file/chorowski21_interspeech.pdf
Autor:
Piotr Pusz, Adrian Łańcucki, Michał Stypułkowski, Jarosław Dzikowski, Paweł Rychlikowski, Jan Chorowski, Mateusz Opala, Ricard Marxer, Grzegorz Ciesielski
Publikováno v:
Interspeech 2021
Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.976-980, ⟨10.21437/interspeech.2021-1544⟩
Interspeech 2021, Aug 2021, Brno, Czech Republic. pp.976-980, ⟨10.21437/interspeech.2021-1544⟩
We investigate the possibility of forcing a self-supervised model trained using a contrastive predictive loss to extract slowly varying latent representations. Rather than producing individual predictions for each of the future representations, the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13075c2bb5f8fe8258931610abc8b573