Zobrazeno 1 - 10
of 1 432
pro vyhledávání: '"P. Sèbe"'
Current face anonymization techniques often depend on identity loss calculated by face recognition models, which can be inaccurate and unreliable. Additionally, many methods require supplementary data such as facial landmarks and masks to guide the s
Externí odkaz:
http://arxiv.org/abs/2411.00762
In this paper, we study a practical yet challenging task, On-the-fly Category Discovery (OCD), aiming to online discover the newly-coming stream data that belong to both known and unknown classes, by leveraging only known category knowledge contained
Externí odkaz:
http://arxiv.org/abs/2410.19213
Referring 3D Segmentation is a visual-language task that segments all points of the specified object from a 3D point cloud described by a sentence of query. Previous works perform a two-stage paradigm, first conducting language-agnostic instance segm
Externí odkaz:
http://arxiv.org/abs/2410.13294
Autor:
Nikolaev, Sergey A., Chshiev, Mairbek, Ibrahim, Fatima, Krishnia, Sachin, Sebe, Nicolas, George, Jean-Marie, Cros, Vincent, Jaffrès, Henri, Fert, Albert
Publikováno v:
Nano Lett. 24, 43, 13465-13472 (2024)
Recent experiments by S. Krishnia et al., Nano Lett. 23, 6785 (2023) reported an unprecedentedly large enhancement of torques upon inserting thin Al layer in Co/Pt heterostructure that suggested the presence of a Rashba-like interaction at the metall
Externí odkaz:
http://arxiv.org/abs/2410.09957
Riemannian neural networks, which extend deep learning techniques to Riemannian spaces, have gained significant attention in machine learning. To better classify the manifold-valued features, researchers have started extending Euclidean multinomial l
Externí odkaz:
http://arxiv.org/abs/2409.19433
Multi-view clustering aims to study the complementary information across views and discover the underlying structure. For solving the relatively high computational cost for the existing approaches, works based on anchor have been presented recently.
Externí odkaz:
http://arxiv.org/abs/2409.16904
Autor:
Krishnia, Sachin, Vojáček, Libor, Gomes, Tristan Da Câmara Santa Clara, Sebe, Nicolas, Ibrahim, Fatima, Li, Jing, Vicente-Arche, Luis Moreno, Collin, Sophie, Denneulin, Thibaud, Dunin-Borkowski, Rafal E., Ohresser, Philippe, Jaouen, Nicolas, Thiaville, André, Fert, Albert, Jaffrès, Henri, Chshiev, Mairbek, Reyren, Nicolas, Cros, Vincent
Perpendicular magnetic anisotropy (PMA) and Dzyaloshinskii-Moriya interactions are key interactions in modern spintronics. These interactions are thought to be dominated by the oxidation of the Co|Al interface in the archetypal Platinum-Cobalt-Alumin
Externí odkaz:
http://arxiv.org/abs/2409.10685
Diffusion models have significantly advanced generative AI, but they encounter difficulties when generating complex combinations of multiple objects. As the final result heavily depends on the initial seed, accurately ensuring the desired output can
Externí odkaz:
http://arxiv.org/abs/2409.10597
Autor:
D'Incà, Moreno, Peruzzo, Elia, Mancini, Massimiliano, Xu, Xingqian, Shi, Humphrey, Sebe, Nicu
Recent progress in Text-to-Image (T2I) generative models has enabled high-quality image generation. As performance and accessibility increase, these models are gaining significant attraction and popularity: ensuring their fairness and safety is a pri
Externí odkaz:
http://arxiv.org/abs/2408.16700
The integration of point and voxel representations is becoming more common in LiDAR-based 3D object detection. However, this combination often struggles with capturing semantic information effectively. Moreover, relying solely on point features withi
Externí odkaz:
http://arxiv.org/abs/2408.14600