Zobrazeno 1 - 10
of 887
pro vyhledávání: '"Rufin, P"'
Autor:
Muzellec, Sabine, Linsley, Drew, Ashok, Alekh K., Mingolla, Ennio, Malik, Girik, VanRullen, Rufin, Serre, Thomas
Objects we encounter often change appearance as we interact with them. Changes in illumination (shadows), object pose, or movement of nonrigid objects can drastically alter available image features. How do biological visual systems track objects as t
Externí odkaz:
http://arxiv.org/abs/2410.02094
Autor:
Boutin, Victor, Mukherji, Rishav, Agrawal, Aditya, Muzellec, Sabine, Fel, Thomas, Serre, Thomas, VanRullen, Rufin
Humans can effortlessly draw new categories from a single exemplar, a feat that has long posed a challenge for generative models. However, this gap has started to close with recent advances in diffusion models. This one-shot drawing task requires pow
Externí odkaz:
http://arxiv.org/abs/2406.06079
Autor:
Ghamisi, Pedram, Yu, Weikang, Marinoni, Andrea, Gevaert, Caroline M., Persello, Claudio, Selvakumaran, Sivasakthy, Girotto, Manuela, Horton, Benjamin P., Rufin, Philippe, Hostert, Patrick, Pacifici, Fabio, Atkinson, Peter M.
The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's transformative impact on data analysis, particularly derived from EO plat
Externí odkaz:
http://arxiv.org/abs/2405.20868
Autor:
Lappe, Alexander, Bognár, Anna, Nejad, Ghazaleh Ghamkhari, Mukovskiy, Albert, Martini, Lucas, Giese, Martin A., Vogels, Rufin
High-level visual brain regions contain subareas in which neurons appear to respond more strongly to examples of a particular semantic category, like faces or bodies, rather than objects. However, recent work has shown that while this finding holds o
Externí odkaz:
http://arxiv.org/abs/2405.09827
Previous studies have shown that it is possible to map brain activation data of subjects viewing images onto the feature representation space of not only vision models (modality-specific decoding) but also language models (cross-modal decoding). In t
Externí odkaz:
http://arxiv.org/abs/2403.11771
Humans perceive the world through multiple senses, enabling them to create a comprehensive representation of their surroundings and to generalize information across domains. For instance, when a textual description of a scene is given, humans can men
Externí odkaz:
http://arxiv.org/abs/2403.04588
Autor:
Meyfroidt, Patrick, Abeygunawardane, Dilini, Baumann, Matthias, Bey, Adia, Buchadas, Ana, Chiarella, Cristina, Junquera, Victoria, García, Angela Kronenburg, Kuemmerle, Tobias, de Waroux, Yann le Polain, Oliveira, Eduardo, Picoli, Michelle, Qin, Siyu, García, Virginia Rodriguez, Rufin, Philippe
Land use expansion is linked to major sustainability concerns including climate change, food security and biodiversity loss. This expansion is largely concentrated in so-called frontiers, defined here as places experiencing marked transformations due
Externí odkaz:
http://arxiv.org/abs/2402.12487
In recent years, driven by the need for safer and more autonomous transport systems, the automotive industry has shifted toward integrating a growing number of Advanced Driver Assistance Systems (ADAS). Among the array of sensors employed for object
Externí odkaz:
http://arxiv.org/abs/2402.08427
Autor:
Rufin, Philippe, Wang, Sherrie, Lisboa, Sá Nogueira, Hemmerling, Jan, Tulbure, Mirela G., Meyfroidt, Patrick
Transfer learning allows for resource-efficient geographic transfer of pre-trained field delineation models. However, the scarcity of labeled data for complex and dynamic smallholder landscapes, particularly in Sub-Saharan Africa, remains a major bot
Externí odkaz:
http://arxiv.org/abs/2312.08384
Autor:
Butlin, Patrick, Long, Robert, Elmoznino, Eric, Bengio, Yoshua, Birch, Jonathan, Constant, Axel, Deane, George, Fleming, Stephen M., Frith, Chris, Ji, Xu, Kanai, Ryota, Klein, Colin, Lindsay, Grace, Michel, Matthias, Mudrik, Liad, Peters, Megan A. K., Schwitzgebel, Eric, Simon, Jonathan, VanRullen, Rufin
Whether current or near-term AI systems could be conscious is a topic of scientific interest and increasing public concern. This report argues for, and exemplifies, a rigorous and empirically grounded approach to AI consciousness: assessing existing
Externí odkaz:
http://arxiv.org/abs/2308.08708