Generalized Gradients: Priors on Minimization Flows
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Our investigation is conceptually motivated by Charpiat et al. [8], who showed that modifying the inner product space for gradient computation can introduce priors that yield smoother optimization paths.
“Our investigation is conceptually motivated by Charpiat et al. [8], who showed that modifying the inner product space for gradient computation can introduce priors that yield smoother optimization paths.”
From COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition (2026) · cites this paper as Charpiat et al. [8]
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- Authors
- Charpiat, G., Maurel, P., Pons, J.-P., Keriven, R., & Faugeras, O.
- Affiliations
- Institut national de recherche en sciences et technologies du numérique (FR)
- Corresponding author
- Charpiat, G.
- Venue
- International Journal of Computer Vision
- Published
- 2006-09-14
- Volume
- 73
- Issue
- 3
- Pages
- 325-344
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2027548828
- Cited by
- 91
- References
- 48
- Citations by year
- 2024: 3 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 2 · 2018: 1 · 2017: 7 · 2016: 4 · 2015: 10 · 2014: 6 · 2013: 7 · 2012: 5
- FWCI
- 8.26
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- other-oa
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- HAL (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Signal Denoising Methods
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Keywords
- snakes, gradient flow, generalized gradients, spatial consistency, local minima, sensitivity to initial conditions, image segmentation, variational methods
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