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My research primarily focuses on computer vision and deep learning, areas where I have amassed extensive experience and knowledge. I have also undertaken various related tasks, including image generation, image classification, object detection, object segmentation, and object tracking. I possess a strong ability to swiftly comprehend evolving trends and future research objectives within these domains.During my undergraduate studies, my research concentrated on image generation/manipulation tasks, encompassing Text to Image, Image Manipulation, and diverse applications that explored multimodal tasks integrating text and images. Upon entering graduate school, I recognized the potential for enhancing the model's comprehension of real-world image structures (e.g., light reflection and physical properties) by integrating deep learning with geometric analysis of images in traditional computer vision. Consequently, my research direction shifted towards architectural design and algorithm development aimed at enriching the model's understanding of images.I firmly believe that such research is pivotal for advancing the fields of computer vision and deep learning and holds significant promise for practical applications.