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 12 of 12 for “"Vision Language Model"”.
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A Submodular Approach to Find Interpretable Directions in Text-to-Image Models
Text-to-image models have significantly improved the field of image editing. However, finding attributes that the model can actually edit is still a remaining challenge. This thesis proposes a solution to this problem by leveraging a multimodal vision-language model (MMVLM) to find a list of …
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Self-Supervised ECG Learning for Multimodal Clinical Tasks
… with chest X-rays and EHR text using a vision–language model backbone, enabling end-to-end multimodal inference. Our results show that incorporating ECG signals meaningfully improves diagnostic performance, highlighting the value of multitask time series pretraining and modular fusion …
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Neural Feature Fields for Language-Guided Robot Manipulation
Self-supervised and language-supervised image models contain rich knowledge of the world that is important for generalization. Many robotic tasks, however, require a detailed understanding of 3D geometry, which is often lacking in 2D image features. This work bridges this 2D-to-3D gap for robotic …
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DYNAMIC NEURAL NETWORKS FOR EFFICIENT VISION MODEL INFERENCE
… and 1.7× speedup with improved quality. Vision-Language Model (VLM) Acceleration: By implementing a dynamic small-large model cooperation mechanism, we achieve up to 3× faster inference while maintaining competitive performance. In conclusion, this research provides a comprehensive …
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Advanced Methods for Remote Sensing Image Captioning
… captioning (IC) involves generating natural language descriptions for images, enabling machines to communicate their perception through language. This approach provides a flexible framework to convey diverse semantics. Despite significant advancements, IC systems face challenges in …
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Domain-Independent Mode Estimation for Human-Robot Collaboration
… noise RGB-D data. It resolves ambiguity using Vision-Language Model (VLM)-guided semantic arbitration and demonstrates robustness and adaptability in unstructured environments. This work establishes qualitative spatial filtering with A*BC as a generalizable and efficient solution for semantic …
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Enriching models of natural language with auxiliary data
The highest-performing natural language processing models generally solve language tasks by deriving statistical regularities of sequences of arbitrary tokens supplied as training data. Humans have a much richer notion of language, however. For one thing, they understand that language refers to …
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Visually Accurate Database-Enabled Reconstructions of Scenes (VADERS)
… segments and rescaled per-component using vision-language model predictions to match the reference object better. Finally the asset is retextured based on the image mask of the reference object in the input image. Evaluation on six diverse scenes—both photographs and artworks—shows the …
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Leveraging Retrieval-Augmented Generation, Prompt Engineering, and Vision Language Models for Surface Defect Classification and Root Cause Analysis in Manufacturing
This study investigates the integration of Vision Language Model (VLM)s, Retrieval-Augmented Generation (RAG), and structured prompt-engineering strategies to enhance surface defect classification and Root Cause Analysis (RCA) in manufacturing. The research examines whether generative and …
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Last-Meter Delivery: Solving the Unattended Delivery Challenge from Streets to Doorsteps
… proposes a methodology for implementing Large Language Model (LLM), and Vision Language Model (VLM) to enable delivery robots to identify the final delivery target and navigate the complex terrain from the curb to the front door. The proposed solution aims to enhance the autonomy and safety of …
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Advanced Radar Sounder Data Analysis Methods under Limited labeled Data Constraints
… that can operate effectively under weak supervision and limited labeled data, while also generalizing across different environments. This thesis addresses these challenges through a progression of frameworks that advance from classical deep learning to foundation models, with an emphasis on …
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Improving medical report generation and evaluation through prompt engineering
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01