Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 88 for “"Scene Understanding"”.
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Context Driven Scene Understanding
Understanding objects in complex scenes is a fundamental and challenging problem in computer vision. Given an image, we would like to answer the questions of whether there is an object of a particular category in the image, where is it, and if possible, locate it with a bounding box or pixel-wise …
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Entity-based scene understanding
… computational systems. We define entity-based scene understanding as the task of identifying the entities in a visual scene from multiple descriptions. This task subsumes coreference resolution, bridging resolution, and grounding to produce mutually consistent relations between entity mentions …
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Disaster and infrastructure scene understanding
Urban scenes are visually complex as they contain physical objects and their spatial-temporal dynamic processes, including natural disasters and human-centered socio-economic activities. Image-based understanding of urban scenes has been actively pursued in the computer and machine vision …
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Spatiotemporal Event Graphs for Dynamic Scene Understanding
Dynamic scene understanding is the ability of a computer system to interpret and make sense of the visual information present in a video of a real-world scene. In this thesis, we present a series of frameworks for dynamic scene understanding starting from road event detection from an autonomous …
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Towards holistic scene understanding from monocular video
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01
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StreetScenes : towards scene understanding in still images
This thesis describes an effort to construct a scene understanding system that is able to analyze the content of real images. While constructing the system we had to provide solutions to many of the fundamental questions that every student of object recognition deals with daily. These include the …
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Recognition, reorganisation, reconstruction and reinteraction for scene understanding
… and their properties around us is central to our understanding of the world. For example, when we drive a car from our home to the workplace, we constantly perceive 3D structure, recognise objects and their properties, and understand their functional attributes so as to interact with the …
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Scene understanding with complete scenes and structured representations
Humans can understand scenes with abundant detail: they see layouts, surfaces, the shape of objects among other details. By contrast, many machine-based scene analysis algorithms use simple representation to parse scenes, mainly bounding boxes and pixel labels, and apply only to visible regions. We …
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A computer vision framework towards automated scene understanding & analysis
… area within the domain of computer vision is scene understanding. Various powerful approaches towards scene understanding employ computer vision tasks to extrapolate semantic information about scenes, allowing computers to understand relationships between objects and their environments. Such …
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3D spatial layout and geometric constraints for scene understanding
… vision approaches tend to ignore this aspect of understanding images. In this work, we build representations and propose strategies for exploiting such constraints towards extracting a 3D understanding of a scene from its single image. We model a scene in terms of its spatial layout abstracted as …
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A 2D + 3D rich data approach to scene understanding
… to your desk each morning, you pass by dozens of scenes - a kitchen, an elevator, your office - and you effortlessly recognize them and perceive their 3D structure. But this one-minute scene-understanding problem has been an open challenge in computer vision since the field was first established …
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Holistic indoor scene understanding, modelling and reconstruction from single images.
3D indoor scene understanding in computer vision refers to perceiving the semantic and geometric information in a 3D indoor environment from partial observations (e.g. images or depth scans). Semantics in a scene generally involves the conceptual knowledge such as the room layout, object …
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Empower dynamic scene understanding through scene flow estimation and object segmentation
Understanding dynamic 3D scenes—critical for applications like autonomous navigation and mixed reality—requires pars- ing both motion (scene flow) and object interactions (segmen- tation). Scene flow captures 3D motion fields, while segmen- tation isolates objects, enabling systems to interpret …
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Applications of Large Language Models for Robot Navigation and Scene Understanding
… is a key challenge in robot navigation and 3D scene understanding. Humans tend to reason about their environments in abstract terms, with a wealth of common sense on object and spatial relations to back up such inferences. Thus, if robots are to see widespread deployment, they must also be able …
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Navigating Through a Scene: Understanding Object Memory Within an Immersive Virtual Environment
… navigating smaller, more confined spaces such as scenes has not been thoroughly explored or understood. In addition, past research has shown that memory for a series of items can depend on the order in which they are encountered, and although numerous studies have examined this phenomenon, the …
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Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning
… topics in computer vision is automatic video scene understanding where the ultimate goal is to build artificial intelligence systems comparable with humans in understanding video contents. Automatic video scene understanding covers many applications including (i) semantic functional complex …
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