Physics-Based Visual Understanding

By Matthew Brand. 1997

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Citations in the corpus

Flexible Neural Representation for Physics Prediction (2018, methodology): “More similar to our approach are inverse graphics methods that extract a lower dimensional physical representation from images that is used to predict physics [25, 26, 51, 50, 52, 53, 7, 49].”
A Compositional Object-Based Approach to Learning Physical Dynamics (2016, background): “…strength, but automatically inferring from visual data what physical laws and object properties are present requires more work in inverse graphics (Chen et al., 2016; Kulkarni et al., 2014; 2015a;b; Whitney et al., 2016) and physics-based visual understanding (Brand, 1997; Wu et al., 2015; 2016).”
Physics 101: Learning Physical Object Properties from Unlabeled Videos (2016, background): “There have been several early efforts to build computational vision systems with the physical knowledge of an early child [6], or specific physical properties, such as material, from the perspectives of human and machine perception [1, 17].”
Grounding the Lexical Semantics of Verbs in Visual Perception using Force Dynamics and Event Logic (1999, background): “That work follows the tradition of linguists and cognitive scientists, such as Leech (1969), Miller (1972), Schank (1973), Jackendoff (1983, 1990), and Pinker (1989), that represent the lexical semantics of verbs via the causal, aspectual, and directional qualities of motion.”
Estimating contact dynamics (2009, background): “At a high-level, physics-based models and contact have been used for image interpretation of simple scene domains [3, 12, 17].”
Ieee Transactions on Pattern Analysis and Machine Intelligence 1 3d Reasoning from Blocks to Stability (background): “Stability: Brand et.al. in [35] and [36] propose the vision system " SPROCKET " to analyze geared machines with basic knowledge of physics, such as friction and attachment.”
Exploring Causal Relationships in Visual Object Tracking (2015, background): “The work of Brand [4] explores the causal physics of the scene (how mechanics of objects influence other objects).”