Global ETD Search
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Showing 1 to 8 of 8 for “"Object Understanding"”.
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Object understanding in generalized video segmentation
Spatio-temporal object representation is a key component in video understanding and is important for tasks like generalized video segmentation. Current methods often fail to represent objects spatio-temporally, by failing to capture the motion and interactions of objects over time, leading to …
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Optimization Techniques for Trustworthy 3D Object Understanding
Autonomous machines require reliable 3D object understanding to interpret and interact with their environment. In this thesis, we consider two tightly coupled 3D object understanding problems. Shape estimation seeks a consistent 3D model of an object given sensor data and some set of priors. Pose …
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VICTORIOUS : video indexing with combined tracking and object recognition for improved object understanding in scenes
Automatic understanding of video content is a problem which grows in importance every day. Video understanding algorithms require accuracy, robustness, speed, and scalability. Accuracy generates user confidence in usage. Robustness enables greater autonomy and reduced human intervention. …
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Inferring object states and articulation modes from egocentric videos
We develop algorithms for understanding objects from the point of view of interacting with them. There are two key aspects to obtaining such an understanding. First, objects can occur in different states and we need features that are sensitive to such states. Second, different objects can be …
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Mapping the time-course and content of visual predictions with a novel object-scene associative memory paradigm
… of contextual facilitation effects in visual object processing. In all three experiments, participants studied novel object-scene pairs in a paired associate memory paradigm. At test, we presented the scene first, followed after a delay by the test object, which either matched or mismatched …
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Building rearticulable models for 3D articulated objects from multi-view RGB videos
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-08-01
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Toward visual understanding of everyday object
… vision community has made impressive progress on object recognition using large scale data. However, for any visual system to interact with objects, it needs to understand much more than simply recognizing where the objects are. The goal of my research is to explore and solve object understanding …
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Generalizable Representations for Vision in Biological and Artificial Neural Networks
… the persistent challenges of vision science is understanding the underlying representations that allow us to recognize objects and scene attributes across a diversity of environments. A central framework for identifying such representations is inverse graphics, which hypothesizes that the brain …