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pro vyhledávání: '"Leroy, Vincent"'
Image Matching is a core component of all best-performing algorithms and pipelines in 3D vision. Yet despite matching being fundamentally a 3D problem, intrinsically linked to camera pose and scene geometry, it is typically treated as a 2D problem. T
Externí odkaz:
http://arxiv.org/abs/2406.09756
Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera parameters e.g. intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain, yet they are mandatory to triangulate corresponding pixel
Externí odkaz:
http://arxiv.org/abs/2312.14132
Autor:
Armando, Matthieu, Galaaoui, Salma, Baradel, Fabien, Lucas, Thomas, Leroy, Vincent, Brégier, Romain, Weinzaepfel, Philippe, Rogez, Grégory
Human perception and understanding is a major domain of computer vision which, like many other vision subdomains recently, stands to gain from the use of large models pre-trained on large datasets. We hypothesize that the most common pre-training str
Externí odkaz:
http://arxiv.org/abs/2311.09104
Transformers have become the standard in state-of-the-art vision architectures, achieving impressive performance on both image-level and dense pixelwise tasks. However, training vision transformers for high-resolution pixelwise tasks has a prohibitiv
Externí odkaz:
http://arxiv.org/abs/2310.00632
Autor:
Swamy, Anilkumar, Leroy, Vincent, Weinzaepfel, Philippe, Baradel, Fabien, Galaaoui, Salma, Bregier, Romain, Armando, Matthieu, Franco, Jean-Sebastien, Rogez, Gregory
Recent hand-object interaction datasets show limited real object variability and rely on fitting the MANO parametric model to obtain groundtruth hand shapes. To go beyond these limitations and spur further research, we introduce the SHOWMe dataset wh
Externí odkaz:
http://arxiv.org/abs/2309.10748
Autor:
Armando, Matthieu, Boissieux, Laurence, Boyer, Edmond, Franco, Jean-Sebastien, Humenberger, Martin, Legras, Christophe, Leroy, Vincent, Marsot, Mathieu, Pansiot, Julien, Pujades, Sergi, Rekik, Rim, Rogez, Gregory, Swamy, Anilkumar, Wuhrer, Stefanie
This work presents 4DHumanOutfit, a new dataset of densely sampled spatio-temporal 4D human motion data of different actors, outfits and motions. The dataset is designed to contain different actors wearing different outfits while performing different
Externí odkaz:
http://arxiv.org/abs/2306.07399
Autor:
Weinzaepfel, Philippe, Lucas, Thomas, Leroy, Vincent, Cabon, Yohann, Arora, Vaibhav, Brégier, Romain, Csurka, Gabriela, Antsfeld, Leonid, Chidlovskii, Boris, Revaud, Jérôme
Despite impressive performance for high-level downstream tasks, self-supervised pre-training methods have not yet fully delivered on dense geometric vision tasks such as stereo matching or optical flow. The application of self-supervised concepts, su
Externí odkaz:
http://arxiv.org/abs/2211.10408
Autor:
Weinzaepfel, Philippe, Leroy, Vincent, Lucas, Thomas, Brégier, Romain, Cabon, Yohann, Arora, Vaibhav, Antsfeld, Leonid, Chidlovskii, Boris, Csurka, Gabriela, Revaud, Jérôme
Masked Image Modeling (MIM) has recently been established as a potent pre-training paradigm. A pretext task is constructed by masking patches in an input image, and this masked content is then predicted by a neural network using visible patches as so
Externí odkaz:
http://arxiv.org/abs/2210.10716
Autor:
Choi, Hongsuk, Moon, Gyeongsik, Armando, Matthieu, Leroy, Vincent, Lee, Kyoung Mu, Rogez, Gregory
Existing neural human rendering methods struggle with a single image input due to the lack of information in invisible areas and the depth ambiguity of pixels in visible areas. In this regard, we propose Monocular Neural Human Renderer (MonoNHR), a n
Externí odkaz:
http://arxiv.org/abs/2210.00627
Autor:
Sessa, Anna1,2,3 (AUTHOR), Leroy, Vincent1,2,3 (AUTHOR) vincent.leroy2@aphp.fr
Publikováno v:
Hépato-Gastro & Oncologie Digestive. may2024, Vol. 31 Issue 5, p451-458. 8p.