Principles Of Gestalt Psychology

By O. Reiser, K. Koffka. 1936

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On the Binding Problem in Artificial Neural Networks (2020, background): “This holistic (as opposed to analytic; see Section 6.2) view of perception, was later summarized by Kurt Koffka as: “The whole is other than the sum of its parts” (Koffka, 1935)22.”
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition (2020, background): “e and further disentanglement is required to extract these useful features. Also, since it does not explicitly reﬂect useful inductive biases like the locality of an object in the Gestalt principles (Koffka, 2013), Visiting Student at Rutgers University. Authors named inside fgequally contributed. C”
Unsupervised Learning of Edges (2015, methodology): “Perceptual Grouping using Motion: Motion plays a key role for grouping and object recognition in the human visual system [21].”
Principles of Situation Research: Towards a Better Understanding of Psychological Situations (2015, background): “…agreed-upon situational pressures, affordances or constraints from ‘beta press’ as proximal, private and subjectively perceived interpretations of situational presses, affordances or constraints (see also Kantor, 1924, 1926; Koffka, 1935; Rotter, 1981; Wagerman & Funder, 2009; Yang et al., 2009).”
Deviance Regulation: A Theory of Action and Identity (2003, background): “This point can be made more clearly, however, by drawing parallels to gestalt principles of figure– ground relations (Koffka, 1935).”
Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations (2019, background): “Humans can recognize objects from sketches alone, even in cases where a significant portion of the boundary is missing [6, 38].”
The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation (2019, background): “…deﬁned the task based on the 1. https://davischallenge.org/challenge2019/semisupervised.html 2. https://interactive.davischallenge.org/ 3. https://davischallenge.org/challenge2019/interactive.html Gestalt principle of “common fate” [43] i.e. pixels which share the same motion are grouped together.”
Toward Multimodal Cyberbullying Detection (2017, background): “Consistent with the "gestalt" principle (the whole is greater than the sum of its parts) [34], we hypothesize that a combination of modestly accurate features coming from heterogeneous data modalities can outperform methods that employ a single modality [19, 32, 37].”
Perceptual Learning, Cognition, and Expertise (2013, background): “For example, as the Gestalt psychologists pointed out almost 100 years ago, the perceived shape of an object is something quite different from the collection of sensory elements it activates (Koffka, 1935).”
Curriculum-Based Ecosystems: Supporting Knowing From an Ecological Perspective (2006, background): “, von Uexküll, 1973/1928) and psychologists (Koffka, 1935) during the early part of the 20th century.”
Visual Parsing After Recovery From Blindness (2009, background): “In circumscribed domains, these heuristics can account rather well for human performance (Elder & Zucker, 1998; Kanizsa, 1979; Koffka, 1935), but using them for analyzing realworld imagery remains an open challenge (Borenstein & Ullman, 2002; Shi & Malik, 1997).”
Object Perception-Oxford Research Encyclopedia of Psychology (2020, background): “Subscriber: UC - Los Angeles (UCLA); date: 28 February 2020 (analogous to other physical systems), which drive the visual system toward simplicity (Koffka, 1935).”
To Afford or Not to Afford: A New Formalization of Affordances Toward Affordance-Based Robot Control (2007, background): “(Koffka, 1935) Hence, the value of the things in the environment are apparent to the perceiver just like other properties.”