Xiaofeng Liu

According to our database, Xiaofeng Liu authored at least 106 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Subtype-Aware Dynamic Unsupervised Domain Adaptation.

Xiaofeng Liu, Fangxu Xing, Jane You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM.

Xiaofeng Liu, Jonghye Woo, Chao Ma, Jinsong Ouyang, Georges El Fakhri

CoRR, 2024

Label-Efficient 3D Brain Segmentation via Complementary 2D Diffusion Models with Orthogonal Views.

Jihoon Cho, Suhyun Ahn, Beomju Kim, Hyungjoon Bae, Xiaofeng Liu, Fangxu Xing, Kyungeun Lee, Georges El Fakhri, Van J. Wedeen, Jonghye Woo, Jinah Park

CoRR, 2024

Fair Text to Medical Image Diffusion Model with Subgroup Distribution Aligned Tuning.

Xu Han, Fangfang Fan, Jingzhao Rong, Xiaofeng Liu

CoRR, 2024

IRSRMamba: Infrared Image Super-Resolution via Mamba-based Wavelet Transform Feature Modulation Model.

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi

CoRR, 2024

Speech motion anomaly detection via cross-modal translation of 4D motion fields from tagged MRI.

Xiaofeng Liu, Fangxu Xing, Jiachen Zhuo, Maureen Stone, Jerry L. Prince, Georges El Fakhri, Jonghye Woo

CoRR, 2024

Treatment-wise Glioblastoma Survival Inference with Multi-parametric Preoperative MRI.

Xiaofeng Liu, Nadya Shusharina, Helen A. Shih, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

CoRR, 2024

Disentangled Multimodal Brain MR Image Translation via Transformer-based Modality Infuser.

Jihoon Cho, Xiaofeng Liu, Fangxu Xing, Jinsong Ouyang, Georges El Fakhri, Jinah Park, Jonghye Woo

CoRR, 2024

Learn from orientation prior for radiograph super-resolution: Orientation operator transformer.

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Kaiyuan Jiang, Zhengmi Tang, Shinichiro Omachi

Comput. Methods Programs Biomed., 2024

Tagged-to-Cine MRI Sequence Synthesis via Light Spatial-Temporal Transformer.

Xiaofeng Liu, Fangxu Xing, Zhangxing Bian, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, Andreas K. Maier, Maureen Stone, Jiachen Zhuo, Jerry L. Prince, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Exploring Backdoor Attacks in Off-the-Shelf Unsupervised Domain Adaptation for Securing Cardiac MRI-Based Diagnosis.

Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models.

Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Source-free domain adaptive segmentation with class-balanced complementary self-training.

Yongsong Huang, Wanqing Xie, Mingzhen Li, Ethan Xiao, Jane You, Xiaofeng Liu

Artif. Intell. Medicine, December, 2023

Attentive continuous generative self-training for unsupervised domain adaptive medical image translation.

Xiaofeng Liu, Jerry L. Prince, Fangxu Xing, Jiachen Zhuo, Timothy G. Reese, Maureen Stone, Georges El Fakhri, Jonghye Woo

Medical Image Anal., August, 2023

Noise-Robust Sleep Staging via Adversarial Training With an Auxiliary Model.

Chae Hwa Yoo, Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo, Je-Won Kang

IEEE Trans. Biomed. Eng., April, 2023

Inducing semantic hierarchy structure in empirical risk minimization with optimal transport measures.

Wanqing Xie, Yubin Ge, Site Li, Mingzhen Li, Zhenhua Guo, Xiaofeng Liu

Neurocomputing, April, 2023

Memory consistent unsupervised off-the-shelf model adaptation for source-relaxed medical image segmentation.

Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo

Medical Image Anal., 2023

Target-oriented Domain Adaptation for Infrared Image Super-Resolution.

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Yafei Dong, Shinichiro Omachi

CoRR, 2023

Posterior Estimation for Dynamic PET imaging using Conditional Variational Inference.

Xiaofeng Liu, Thibault Marin, Tiss Amal, Jonghye Woo, Georges El Fakhri, Jinsong Ouyang

CoRR, 2023

Bias and Fairness in Chatbots: An Overview.

Jintang Xue, Yun-Cheng Wang, Chengwei Wei, Xiaofeng Liu, Jonghye Woo, C.-C. Jay Kuo

CoRR, 2023

NFI₂: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement.

Xiaofeng Liu, Jiaxin Gao, Ziyu Yue, Xin Fan, Risheng Liu

CoRR, 2023

Posterior Estimation Using Deep Learning: A Simulation Study of Compartmental Modeling in Dynamic PET.

Xiaofeng Liu, Thibault Marin, Tiss Amal, Jonghye Woo, Georges El Fakhri, Jinsong Ouyang

CoRR, 2023

Synthesizing audio from tongue motion during speech using tagged MRI via transformer.

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Speech Audio Synthesis from Tagged MRI and Non-negative Matrix Factorization via Plastic Transformer.

Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Sidney S. Fels, Jerry L. Prince, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Incremental Learning for Heterogeneous Structure Segmentation in Brain Tumor MRI.

Xiaofeng Liu, Helen A. Shih, Fangxu Xing, Emiliano Santarnecchi, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Outlier Robust Disease Classification via Stochastic Confidence Network.

Kyungsu Lee, Haeyun Lee, Georges El Fakhri, Jorge Sepulcre, Xiaofeng Liu, Fangxu Xing, Jae Youn Hwang, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

Successive Subspace Learning for Cardiac Disease Classification with Two-Phase Deformation Fields from Cine MRI.

Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation.

Yongsong Huang, Wanqing Xie, Mingzhen Li, Mingmei Cheng, Jinzhou Wu, Weixiao Wang, Jane You, Xiaofeng Liu

Proceedings of the Information Processing in Medical Imaging, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.

Xiaofeng Liu, Jiaxin Gao, Yaohua Liu, Nenggan Zheng, Risheng Liu

Proceedings of the Image and Graphics - 12th International Conference, 2023

2022

Wasserstein Loss With Alternative Reinforcement Learning for Severity-Aware Semantic Segmentation.

Xiaofeng Liu, Yunhong Lu, Xiongchang Liu, Song Bai, Site Li, Jane You

IEEE Trans. Intell. Transp. Syst., 2022

Brain MR Atlas Construction Using Symmetric Deep Neural Inpainting.

Fangxu Xing, Xiaofeng Liu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

IEEE J. Biomed. Health Informatics, 2022

Interpreting Depression From Question-Wise Long-Term Video Recording of SDS Evaluation.

Wanqing Xie, Lizhong Liang, Yao Lu, Chen Wang, Jihong Shen, Hui Luo, Xiaofeng Liu

IEEE J. Biomed. Health Informatics, 2022

VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI.

Xiaofeng Liu, Fangxu Xing, Chao Yang, Chung-Chieh Jay Kuo, Suma Babu, Georges El Fakhri, Thomas Jenkins, Jonghye Woo

IEEE J. Biomed. Health Informatics, 2022

Mutual Information Regularized Feature-Level Frankenstein for Discriminative Recognition.

Xiaofeng Liu, Chao Yang, Jane You, C.-C. Jay Kuo, B. V. K. Vijaya Kumar

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Constraining pseudo-label in self-training unsupervised domain adaptation with energy-based model.

Lingsheng Kong, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Xiaofeng Liu

Int. J. Intell. Syst., 2022

Infrared Image Super-Resolution: Systematic Review, and Future Trends.

Yongsong Huang, Tomo Miyazaki, Xiaofeng Liu, Shinichiro Omachi

CoRR, 2022

Unsupervised Domain Adaptation for Segmentation with Black-box Source Model.

Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

CoRR, 2022

Subtype-Aware Dynamic Unsupervised Domain Adaptation.

Xiaofeng Liu, Fangxu Xing, Jia You, Jun Lu, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

CoRR, 2022

Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives.

Xiaofeng Liu, Chae Hwa Yoo, Fangxu Xing, Hyejin Oh, Georges El Fakhri, Je-Won Kang, Jonghye Woo

CoRR, 2022

Multimodal fusion diagnosis of depression and anxiety based on CNN-LSTM model.

Wanqing Xie, Chen Wang, Zhixiong Lin, Xudong Luo, Wenqian Chen, Manzhu Xu, Lizhong Liang, Xiaofeng Liu, Yanzhong Wang, Hui Luo, Mingmei Cheng

Comput. Medical Imaging Graph., 2022

Measuring strain in diffusion-weighted data using tagged magnetic resonance imaging.

Fangxu Xing, Xiaofeng Liu, Timothy G. Reese, Maureen Stone, Van J. Wedeen, Jerry L. Prince, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Unsupervised domain adaptation for segmentation with black-box source model.

Xiaofeng Liu, Chaehwa Yoo, Fangxu Xing, C.-C. Jay Kuo, Georges El Fakhri, Je-Won Kang, Jonghye Woo

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Structure-aware unsupervised tagged-to-cine MRI synthesis with self disentanglement.

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Variational inference for quantifying inter-observer variability in segmentation of anatomical structures.

Xiaofeng Liu, Fangxu Xing, Thibault Marin, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Imaging 2022: Image Processing, 2022

ACT: Semi-supervised Domain-Adaptive Medical Image Segmentation with Asymmetric Co-training.

Xiaofeng Liu, Fangxu Xing, Nadya Shusharina, Ruth Lim, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Tagged-MRI Sequence to Audio Synthesis via Self Residual Attention Guided Heterogeneous Translator.

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Jiachen Zhuo, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-Semantic Contour Adaptation for Cross Modality Brain Tumor Segmentation.

Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Cmri2spec: Cine MRI Sequence to Spectrogram Synthesis via A Pairwise Heterogeneous Translator.

Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jerry L. Prince, Jangwon Kim, Georges El Fakhri, Jonghye Woo

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Mutual information regularized identity-aware facial expression recognition in compressed video.

Xiaofeng Liu, Linghao Jin, Xu Han, Jane You

Pattern Recognit., 2021

Automated interpretation of congenital heart disease from multi-view echocardiograms.

Jing Wang, Xiaofeng Liu, Fangyun Wang, Lin Zheng, Fengqiao Gao, Hanwen Zhang, Xin Zhang, Wanqing Xie, Binbin Wang

Medical Image Anal., 2021

Floor-of-the-mouth muscle function analysis using dynamic magnetic resonance imaging.

Fangxu Xing, Maureen Stone, Jerry L. Prince, Xiaofeng Liu, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation.

Xiaofeng Liu, Fangxu Xing, Chao Yang, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Generative Self-training for Cross-Domain Unsupervised Tagged-to-Cine MRI Synthesis.

Xiaofeng Liu, Fangxu Xing, Maureen Stone, Jiachen Zhuo, Timothy G. Reese, Jerry L. Prince, Georges El Fakhri, Jonghye Woo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Dual-Cycle Constrained Bijective Vae-Gan For Tagged-To-Cine Magnetic Resonance Image Synthesis.

Xiaofeng Liu, Fangxu Xing, Jerry L. Prince, Aaron Carass, Maureen Stone, Georges El Fakhri, Jonghye Woo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A Unified Conditional Disentanglement Framework For Multimodal Brain Mr Image Translation.

Xiaofeng Liu, Fangxu Xing, Georges El Fakhri, Jonghye Woo

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Domain Generalization under Conditional and Label Shifts via Variational Bayesian Inference.

Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation.

Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate.

Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization.

Yubin Ge, Site Li, Xuyang Li, Fangfang Fan, Wanqing Xie, Jane You, Xiaofeng Liu

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep 3D-CNN for Depression Diagnosis with Facial Video Recording of Self-Rating Depression Scale Questionnaire.

Wanqing Xie, Lizhong Liang, Yao Lu, Hui Luo, Xiaofeng Liu

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Segmentation of Cardiac Structures via Successive Subspace Learning with Saab Transform from Cine MRI.

Xiaofeng Liu, Fangxu Xing, Hanna K. Gaggin, Weichung Wang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis.

Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models.

Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Dependency-Aware Attention Control for Image Set-Based Face Recognition.

Xiaofeng Liu, Zhenhua Guo, Jane You, B. V. K. Vijaya Kumar

IEEE Trans. Inf. Forensics Secur., 2020

Unimodal regularized neuron stick-breaking for ordinal classification.

Xiaofeng Liu, Fangfang Fan, Lingsheng Kong, Zhihui Diao, Wanqing Xie, Jun Lu, Jane You

Neurocomputing, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.

Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Ju Lu

CoRR, 2020

Mutual Information Regularized Identity-aware Facial ExpressionRecognition in Compressed Video.

Xiaofeng Liu, Linghao Jin, Xu Han, Jane You

CoRR, 2020

Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving.

Xiaofeng Liu, Yimeng Zhang, Xiongchang Liu, Song Bai, Site Li, Jane You

CoRR, 2020

A Real Time Multi-thread Underwater Images Enhancement System^*.

Xiaofeng Liu, Risheng Liu, Ming Zhu, Wei Zhong, Xin Fan, Zhongxuan Luo, Wanhui Zhang

Proceedings of the International Conference on System Science and Engineering, 2020

Identity-aware Facial Expression Recognition in Compressed Video.

Xiaofeng Liu, Linghao Jin, Xu Han, Jun Lu, Jane You, Lingsheng Kong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Energy-constrained Self-training for Unsupervised Domain Adaptation.

Xiaofeng Liu, Bo Hu, Xiongchang Liu, Jun Lu, Jane You, Lingsheng Kong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation.

Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You

Proceedings of the Computer Vision - ECCV 2020, 2020

Classification-aware Semi-supervised Domain Adaptation.

Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Image2Audio: Facilitating Semi-supervised Audio Emotion Recognition with Facial Expression Image.

Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Wasserstein Loss based Deep Object Detection.

Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training.

Xiaofeng Liu, Wenxuan Ji, Jane You, Georges El Fakhri, Jonghye Woo

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Symmetric-Constrained Irregular Structure Inpainting for Brain MRI Registration with Tumor Pathology.

Xiaofeng Liu, Fangxu Xing, Chao Yang, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training.

Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Hard negative generation for identity-disentangled facial expression recognition.

Xiaofeng Liu, B. V. K. Vijaya Kumar, Ping Jia, Jane You

Pattern Recognit., 2019

Towards Disentangled Representations for Human Retargeting by Multi-view Learning.

Chao Yang, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo

CoRR, 2019

Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis.

Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Jun Lu

CoRR, 2019

Attention Control with Metric Learning Alignment for Image Set-based Recognition.

Xiaofeng Liu, Zhenhua Guo, Jane You, B. V. K. Vijaya Kumar

CoRR, 2019

Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis.

Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Confidence Regularized Self-Training.

Yang Zou, Zhiding Yu, Xiaofeng Liu, B. V. K. Vijaya Kumar, Jinsong Wang

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Conservative Wasserstein Training for Pose Estimation.

Xiaofeng Liu, Yang Zou, Tong Che, Ping Jia, Peng Ding, Jane You, B. V. K. Vijaya Kumar

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition.

Xiaofeng Liu, Zhenhua Guo, Site Li, Ping Jia, Lingsheng Kong, Jane You, B. V. K. Vijaya Kumar

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition.

Xiaofeng Liu, Site Li, Lingsheng Kong, Wanqing Xie, Ping Jia, Jane You, B. V. K. Vijaya Kumar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Image Inpainting using Block-wise Procedural Training with Annealed Adversarial Counterpart.

Chao Yang, Yuhang Song, Xiaofeng Liu, Qingming Tang, C.-C. Jay Kuo

CoRR, 2018

Normalized face image generation with perceptron generative adversarial networks.

Xiaofeng Liu, B. V. K. Vijaya Kumar, Yubin Ge, Chao Yang, Jane You, Ping Jia

Proceedings of the IEEE 4th International Conference on Identity, 2018

Data Augmentation via Latent Space Interpolation for Image Classification.

Xiaofeng Liu, Yang Zou, Lingsheng Kong, Zhihui Diao, Junliang Yan, Jun Wang, Site Li, Ping Jia, Jane You

Proceedings of the 24th International Conference on Pattern Recognition, 2018

A joint optimization framework of low-dimensional projection and collaborative representation for discriminative classification.

Xiaofeng Liu, Zhaofeng Li, Lingsheng Kong, Zhihui Diao, Junliang Yan, Yang Zou, Chao Yang, Ping Jia, Jane You

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Contextual-Based Image Inpainting: Infer, Match, and Translate.

Yuhang Song, Chao Yang, Zhe L. Lin, Xiaofeng Liu, Qin Huang, Hao Li, C.-C. Jay Kuo

Proceedings of the Computer Vision - ECCV 2018, 2018

Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis.

Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets.

Xiaofeng Liu, B. V. K. Vijaya Kumar, Chao Yang, Qingming Tang, Jane You

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition.

Xiaofeng Liu, B. V. K. Vijaya Kumar, Jane You, Ping Jia

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2012

Incompressible Deformation Estimation Algorithm (IDEA) From Tagged MR Images.

Xiaofeng Liu, Khaled Z. Abd-Elmoniem, Maureen L. Stone, Emi Z. Murano, Jiachen Zhuo, Rao P. Gullapalli, Jerry L. Prince

IEEE Trans. Medical Imaging, 2012

2011

A deformable surface model based automatic rat brain extraction method.

Jiehua Li, Xiaofeng Liu, Jiachen Zhuo, Rao P. Gullapalli, Jason M. Zara

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Shortest Path Refinement for Motion Estimation From Tagged MR Images.

Xiaofeng Liu, Jerry L. Prince

IEEE Trans. Medical Imaging, 2010

2009

Prostate Brachytherapy Seed Reconstruction With Gaussian Blurring and Optimal Coverage Cost.

Junghoon Lee, Xiaofeng Liu, Ameet K. Jain, Danny Y. Song, Everette Clif Burdette, Jerry L. Prince, Gabor Fichtinger

IEEE Trans. Medical Imaging, 2009

Shortest path refinement For HARP motion tracking.

Xiaofeng Liu, Ying Bai, Jerry L. Prince

Proceedings of the Medical Imaging 2009: Image Processing, 2009

Incompressible Cardiac Motion Estimation of the Left Ventricle Using Tagged MR Images.

Xiaofeng Liu, Khaled Z. Abd-Elmoniem, Jerry L. Prince

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

2008

Prostate Brachytherapy Seed Localization with Gaussian Blurring and Camera Self-calibration.

Junghoon Lee, Xiaofeng Liu, Jerry L. Prince, Gabor Fichtinger

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Tomosynthesis-based radioactive seed localization in prostate brachytherapy using modified distance map images.

Junghoon Lee, Xiaofeng Liu, Ameet K. Jain, Jerry L. Prince, Gabor Fichtinger

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Prostate Implant Reconstruction with Discrete Tomography.

Xiaofeng Liu, Ameet K. Jain, Gabor Fichtinger

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Harp Tracking Refinement Using Seeded Region Growing.

Xiaofeng Liu, Emi Z. Murano, Maureen L. Stone, Jerry L. Prince

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2006

Tracking tongue motion in three dimensions using tagged MR image.

Xiaofeng Liu, Maureen L. Stone, Jerry L. Prince

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006