ZiTian·Chen
I am a fourth-year PhD student at the University of Massachusetts Amherst, advised by Prof. Erik Learned-Miller and also collaborate with Prof. Chuang Gan. My area of focus is on large-scale models in computer vision. I hold a Bachelor's degree from Fudan University and have gained valuable research experience through internships at NVIDIA, Google Brain, and the MIT-IBM Watson AI Lab.
My Chinese name is 陈梓天 (Simplified & Traditional).
SELECTED PUBLICATIONS
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Mod-Squad: Designing Mixture of Experts As Modular Multi-Task Learners
CVPR 2023
Zitian Chen, Yikang Shen, Mingyu Ding, Zhenfang Chen, Hengshuang Zhao, Erik Learned-Miller, Chuang Gan
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Image Deformation Meta-network for One-shot Learning
Best paper finalist and Oral at CVPR 2019
Zitian Chen, Yanwei Fu, Yu-Xiong Wang, Lin Ma, Wei Liu, Martial Hebert
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Shot in the Dark: Few-Shot Learning with No Base-Class Labels
Learning from Limited and Imperfect Data workshop at CVPR 2021
Zitian Chen, Subhransu Maji, Erik Learned-Miller
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Cross-Supervised Object Detection
Arxiv
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik Learned-Miller
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Multi-level Semantic Feature Augmentation for One-shot Learning
IEEE Transactions on Image Processing(TIP)
Zitian Chen, Yanwei Fu, Yinda Zhang, Leonid Sigal
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Image Block Augmentation for One-Shot Learning
AAAI 2019
Zitian Chen, Yanwei Fu, Kaiyu Chen, Yu-Gang Jiang
