Part-Based Representations of Visual Shape and Implications for Visual Cognition
By Manish Singh, Donald D. Hoffman. 2001
104 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/278549cec5f125c31822da9c9d35fc1a8ab31842
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Geoffrey E. Hinton
- Yoshua Bengio
- Aaron C. Courville
- Aapo Hyvärinen
- Nicolas Manfred Otto Heess
- Ian J. Goodfellow
- Roland Memisevic
- Li Deng
In Computer Vision and Pattern Recognition
- Geoffrey E. Hinton
- Luc Van Gool
- David J. Fleet
- Andrea Tagliasacchi
- Ming-Hsuan Yang
- Dacheng Tao
- Xiaogang Wang
- Jitendra Malik
Citations in the corpus
- Unsupervised part representation by Flow Capsules (2020, background): “Humans learn to perceive shapes in terms of their parts and their spatial relationships (Singh & Hoffman, 2001).”