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.
Results
Showing 1 to 9 of 9 for “"3D Scene Understanding"”.
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Detecting incidents, accelerating dataset annotation, and estimating depth with multi-view invariants
… resources. Current algorithms can perform scene understanding, or the ability to understand and interpret the world through visual perception (e.g., images or videos). In this thesis, we push the boundaries of current scene understanding algorithms with three distinct projects. (1) In the …
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Visualization and Behavioral Testing Of Common Sense Generative Programs
… powerful tools that allow for modeling complex 3D worlds containing objects and agents. Recent advances in these programs have resulted in creation of rich models whose traces represent 3D scenes, but there exist challenges in using visualizations and simulation tools for practical …
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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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Learning 3D Robotics Perception using Inductive Priors
… robotics perception problems. 1. object-centric 3D reconstruction, 2. vision and language for decision-making, and 3. 3D scene understanding. To solve these challenging problems, I propose various sources of prior knowledge including 1. geometry and appearance priors from synthetic data, 2. …
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Enabling robotic manipulation in remote environments with shared autonomy
… provides remote operators with a contextual 3D scene understanding that is updated according to bandwidth availability. Evaluation of the SHARC framework through controlled lab experiments indicates that SHARC’s VR interface enables novice operators to complete manipulation tasks in …
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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 …
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Enabling Robotic Manipulation in Remote Environments with Shared Autonomy
… provides remote operators with a contextual 3D scene understanding that is updated according to bandwidth availability. Evaluation of the SHARC framework through controlled lab experiments indicates that SHARC’s VR interface enables novice operators to complete manipulation tasks in …
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BRIDGING INTERPRETABILITY AND PERFORMANCE IN 3D DEEP LEARNING THROUGH GEOMETRIC INDUCTIVE BIASES
… limitazioni fondamentali nel deep learning 3D, in particolare per applicazioni critiche di sicurezza come l’ispezione delle reti elettriche. Nonostante i progressi significativi nel campo del 3D scene understanding, la maggior parte dei modelli allo stato dell’arte funziona come black boxes, …
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Robust Video Object Tracking via Camera Self-calibration
In this dissertation, a framework for 3D scene reconstruction based on robust video object tracking assisted by camera self-calibration is proposed, which includes several algorithmic components. (1) An algorithm for joint camera self-calibration and automatic radial distortion correction based on …