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Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images


Feb 18, 2023
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd J. Schwedt, Gina Dumkrieger, Simona Nikolova, Baoxin Li

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* Under review 

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PatchRot: A Self-Supervised Technique for Training Vision Transformers


Oct 27, 2022
Sachin Chhabra, Prabal Bijoy Dutta, Hemanth Venkateswara, Baoxin Li

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* NeurIPS Workshop on Vision Transformers: Theory and Applications (VTTA) 

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HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease


Sep 05, 2022
Md Mahfuzur Rahman Siddiquee, Jay Shah, Teresa Wu, Catherine Chong, Todd Schwedt, Baoxin Li

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* International Workshop on Simulation and Synthesis in Medical Imaging, MICCAI, 2022 

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CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research


Jun 30, 2022
Bohan Jiang, Paras Sheth, Baoxin Li, Huan Liu

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* 10 pages 

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Optical Flow for Video Super-Resolution: A Survey


Mar 20, 2022
Zhigang Tu, Hongyan Li, Wei Xie, Yuanzhong Liu, Shifu Zhang, Baoxin Li, Junsong Yuan

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Slow-Fast Visual Tempo Learning for Video-based Action Recognition


Feb 24, 2022
Yuanzhong Liu, Zhigang Tu, Hongyan Li, Chi Chen, Baoxin Li, Junsong Yuan

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PAT: Pseudo-Adversarial Training For Detecting Adversarial Videos


Sep 13, 2021
Nupur Thakur, Baoxin Li

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* 7 pages,5 figures 

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FedNS: Improving Federated Learning for collaborative image classification on mobile clients


Jan 20, 2021
Yaoxin Zhuo, Baoxin Li

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Partial Domain Adaptation Using Selective Representation Learning For Class-Weight Computation


Jan 06, 2021
Sandipan Choudhuri, Riti Paul, Arunabha Sen, Baoxin Li, Hemanth Venkateswara

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AdvFoolGen: Creating Persistent Troubles for Deep Classifiers


Jul 20, 2020
Yuzhen Ding, Nupur Thakur, Baoxin Li

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* 11 pages, 5 figures 

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