Li, Baoxin
- A Strategy for an Uncompromising Incremental Learner
2017/05/02 by Ragav Venkatesan, Hemanth Venkateswara, Venkatesan, Ragav +5 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
- Transformer-based Selective Super-Resolution for Efficient Image Refinement
2023/12/10 by Tianyi Zhang, Zhang, Tianyi, Kishore Kasichainula +9 · 2 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Processing Techniques and Applications
- Mean Local Group Average Precision (mLGAP): A New Performance Metric for Hashing-based Retrieval
2018/11/24 by Ding, Pak Lun Kevin, Li, Yikang, Li, Baoxin · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1-weighted Brain MR Images
2023/02/18 by Md Mahfuzur Rahman Siddiquee, Jay Shah, Siddiquee, Md Mahfuzur Rahman +13 · 2 citations
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #electronic engineering #information engineering
- HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease
2022/09/05 by Md Mahfuzur Rahman Siddiquee, Siddiquee, Md Mahfuzur Rahman, Jay Shah +9 · 1 citation
Computer Science · Medicine · #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering