Katherine Xu
I am a second-year PhD student at the University of Pennsylvania
advised by Prof. Jianbo Shi.
I'm interested in computer vision and deep learning.
I received my bachelor's and master's in Computer Science at MIT,
where I collaborated with researchers at MIT CSAIL,
MIT Quest for Intelligence, and MIT Environmental Solutions Initiative.
I've also had the pleasure to intern at Adobe, Meta, and Honda Research Institute.
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Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models
Katherine Xu,
Lingzhi Zhang,
Jianbo Shi
arXiv, 2024
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Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond
Katherine Xu,
Lingzhi Zhang,
Jianbo Shi
arXiv, 2024
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Amodal Completion via Progressive Mixed Context Diffusion
Katherine Xu,
Lingzhi Zhang,
Jianbo Shi
Computer Vision and Pattern Recognition Conference (CVPR), 2024
Highlight - 2.8% of submissions, 11.9% of accepted papers
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Seeing the hidden in images using a pretrained diffusion model
by tackling challenging occlusion and object co-occurrence.
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Chemistry Insights for Large Pretrained Graph Neural Networks
Katherine Xu,
Janice Lan
NeurIPS AI for Science Workshop, 2022
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Analyzing neural networks trained on the Open Catalyst dataset
by comparing their predictions with chemical intuition. Work done during an internship at Meta.
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A Novel Digital Algorithm for Identifying Liver Steatosis Using Smartphone-Captured Images
Katherine Xu*, Siavash Raigani*, ..., Katherine Fairchild, Leigh Anne Dageforde
Transplantation Direct, 2022
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Teaching Assistant, CIS 6800 Advanced Topics in Machine Perception, Fall 2023
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