Zobrazeno 1 - 10
of 2 459
pro vyhledávání: '"Morel, Jean"'
Applying style transfer to a full 3D environment is a challenging task that has seen many developments since the advent of neural rendering. 3D Gaussian splatting (3DGS) has recently pushed further many limits of neural rendering in terms of training
Externí odkaz:
http://arxiv.org/abs/2412.03371
Autor:
Bou, Xavier, Facciolo, Gabriele, von Gioi, Rafael Grompone, Morel, Jean-Michel, Ehret, Thibaud
Oriented object detection predicts orientation in addition to object location and bounding box. Precisely predicting orientation remains challenging due to angular periodicity, which introduces boundary discontinuity issues and symmetry ambiguities.
Externí odkaz:
http://arxiv.org/abs/2411.10497
Left Ventricular Hypertrophy (LVH) is a major cardiovascular risk factor, linked to heart failure, arrhythmia, and sudden cardiac death, often resulting from chronic stress like hypertension. Electrocardiography (ECG), while varying in sensitivity, i
Externí odkaz:
http://arxiv.org/abs/2411.08819
Publikováno v:
SPIE Security and Defence International Symposium, Toulouse, France, 2010
This paper introduces a new way to correct the non-uniformity (NU) in uncooled infrared-type images. The main defect of these uncooled images is the lack of a column (resp. line) time-dependent cross-calibration, resulting in a strong column (resp. l
Externí odkaz:
http://arxiv.org/abs/2411.04457
Autor:
Cui, Kangning, Tang, Wei, Zhu, Rongkun, Wang, Manqi, Larsen, Gregory D., Pauca, Victor P., Alqahtani, Sarra, Yang, Fan, Segurado, David, Fine, Paul, Karubian, Jordan, Chan, Raymond H., Plemmons, Robert J., Morel, Jean-Michel, Silman, Miles R.
Understanding the spatial distribution of palms within tropical forests is essential for effective ecological monitoring, conservation strategies, and the sustainable integration of natural forest products into local and global supply chains. However
Externí odkaz:
http://arxiv.org/abs/2410.11124
Autor:
Liu, Yaofang, Ren, Yumeng, Cun, Xiaodong, Artola, Aitor, Liu, Yang, Zeng, Tieyong, Chan, Raymond H., Morel, Jean-michel
Diffusion models have revolutionized image generation, and their extension to video generation has shown promise. However, current video diffusion models~(VDMs) rely on a scalar timestep variable applied at the clip level, which limits their ability
Externí odkaz:
http://arxiv.org/abs/2410.03160
Image vectorization converts raster images into vector graphics composed of regions separated by curves. Typical vectorization methods first define the regions by grouping similar colored regions via color quantization, then approximate their boundar
Externí odkaz:
http://arxiv.org/abs/2409.15940
Autor:
Dewil, Valéry, Zheng, Zhe, Barral, Arnaud, Raad, Lara, Nicolas, Nao, Cassagne, Ioannis, Morel, Jean-michel, Facciolo, Gabriele, Galerne, Bruno, Arias, Pablo
MIMO (multiple input, multiple output) approaches are a recent trend in neural network architectures for video restoration problems, where each network evaluation produces multiple output frames. The video is split into non-overlapping stacks of fram
Externí odkaz:
http://arxiv.org/abs/2408.12439
Publikováno v:
Inverse Problems and Imaging, 2024, 18(3):571-599
Image demosaicing and denoising play a critical role in the raw imaging pipeline. These processes have often been treated as independent, without considering their interactions. Indeed, most classic denoising methods handle noisy RGB images, not raw
Externí odkaz:
http://arxiv.org/abs/2408.06684
Autor:
Bou, Xavier, Facciolo, Gabriele, von Gioi, Rafael Grompone, Morel, Jean-Michel, Ehret, Thibaud
The goal of this paper is to perform object detection in satellite imagery with only a few examples, thus enabling users to specify any object class with minimal annotation. To this end, we explore recent methods and ideas from open-vocabulary detect
Externí odkaz:
http://arxiv.org/abs/2403.05381