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Xingchen Zhao

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Unsupervised Domain Adaptation for Semantic Segmentation with Pseudo Label Self-Refinement

Oct 25, 2023
Xingchen Zhao, Niluthpol Chowdhury Mithun, Abhinav Rajvanshi, Han-Pang Chiu, Supun Samarasekera

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A Close Look at Spatial Modeling: From Attention to Convolution

Dec 23, 2022
Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu

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Test-time Fourier Style Calibration for Domain Generalization

May 18, 2022
Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

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Deep-learned speckle pattern and its application to ghost imaging

Dec 28, 2021
Xiaoyu Nie, Haotian Song, Wenhan Ren, Xingchen Zhao, Zhedong Zhang, Tao Peng, Marlan O. Scully

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Imaging through scattering media via spatial-temporal encoded pattern illumination

Dec 26, 2021
Xingchen Zhao, Xiaoyu Nie, Zhenhuan Yi, Tao Peng, Marlan O. Scully

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0.8% Nyquist computational ghost imaging via non-experimental deep learning

Aug 17, 2021
Haotian Song, Xiaoyu Nie, Hairong Su, Hui Chen, Yu Zhou, Xingchen Zhao, Tao Peng, Marlan O. Scully

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PAC Bayesian Performance Guarantees for Deep (Stochastic) Networks in Medical Imaging

Apr 12, 2021
Anthony Sicilia, Xingchen Zhao, Anastasia Sosnovskikh, Seong Jae Hwang

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Multi-Domain Learning by Meta-Learning: Taking Optimal Steps in Multi-Domain Loss Landscapes by Inner-Loop Learning

Feb 25, 2021
Anthony Sicilia, Xingchen Zhao, Davneet Minhas, Erin O'Connor, Howard Aizenstein, William Klunk, Dana Tudorascu, Seong Jae Hwang

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