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I am a Ph.D. candidate at the University of North Carolina at Chapel Hill, where I work on computer vision with Roni Sengupta. I previously worked with Bardia Nezami during my time as a software engineer at ValtedSeq. Prior to that, I earned my M.S.E. in Biomedical Engineering and Data Science from Johns Hopkins University, where I was mentored by Brian Caffo. Earlier in my academic journey, I completed my B.S.E. in Biomedical Engineering at Northeastern University under the guidance of Ming Qian at the Shenzhen Institute of Advanced Technology. Opinions are my own and do not represent any affiliated organizations. Happy to chat about research, new opportunities, and life in general. Feel free to reach out through email! |
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Luchao Qi, Jiaye Wu, Bang Gong, Annie N. Wang, David W. Jacobs, Roni Sengupta Submitted project page / arXiv / 🤗Paper of the Day / tweet We personalize a pre-trained global aging prior using 50 personal selfies, allowing age regression (de-aging) and age progression (aging) with high fidelity and identity preservation. |
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Annie N. Wang, Luchao Qi, Roni Sengupta WACV 2025 project page / arXiv We introduce a continual learning problem of updating personalized 2D and 3D generative face models without forgetting past representations as new photos are regularly captured. |
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Luchao Qi, Jiaye Wu, Annie N. Wang, Shengze Wang, Roni Sengupta WACV 2025 project page / arXiv / tweet We personalize a pretrained GAN-based model (EG3D) using a few (~50) selfies of an individual without full finetuning, enabling scalable personalization in a real-world scenario. |
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Luchao Qi, Qi Zhang , Yan Tan, Kwok Ho Lam, Hairong Zheng , Ming Qian IEEE Transactions on Biomedical Engineering 2019 pdf / google scholar We investigate how ultrasound microbeam stimulation affects the intracellular calcium response of human breast cancer cells. |
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