<p dir="ltr">This dissertation delves into three projects within the realms of image processing, computer vision, and machine/deep learning. The primary objective of the first project is the detection of heavy metal particle concentrations using microfluidic paper-based devices. The second project revolves around the analysis of crystals within microscopic images. The third project centers around zero-shot action recognition in video sequences, utilizing a multi-modality deep learning framework that is refined through prompt tuning to enhance its performance.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/26517229 |
| Date | 09 August 2024 |
| Creators | Qiyue Liang (19349125) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/Three_problems_in_computer_vision_design_fabrication_and_analysis_of_paper_sensors_for_detecting_food_contaminants_segmentation_of_food_crystal_images_and_zero-shot_action_recognition_in_video_sequences_/26517229 |
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