Efficient deformable filter banks

By Roberto Manduchi, Pietro Perona, Doug Shy. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Trevor Darrell
2. Ross B. Girshick
3. Hyun Oh Song
4. Andrea Vedaldi
5. Jitendra Malik
6. Kaiming He
7. Luc Van Gool
8. Abhinav Kumar Gupta

Citations in the corpus

• Covariant Compositional Networks For Learning Graphs (2018, background): “This phenomenon is called steerability , and has a significant literature in both classical signal processing (Freeman & Adelson, 1991; Simoncelli et al., 1992; Perona, 1995; Teo & Hel-Or, 1998; Manduchi et al., 1998) and the neural networks field (Cohen & Welling, 2016b).”
• Discriminatively Activated Sparselets (2013, background): “…2009; Zhu et al., 2010; Ott & Everingham, 2011; Girshick et al., 2011), (2) sparse coding and dictionary learning (Kreutz-Delgado et al., 2003; Mairal et al., 2009; 2012), and (3) modeling and learning with low-rank approximations (Freeman & Adelson, 1991; Manduchi et al., 1998; Wolf et al., 2007).”
• Design of steerable filters for feature detection using canny-like criteria (2004, background): “The concept of steerablity was also applied successfully in other areas of image processing such as texture analysis [9], [10] and image denoising [11].”