Framelet-Based Algorithm for Segmentation of Tubular Structures. - Xiaohao Cai; Raymond H. Chan; Serena Morigi; Fiorella Sgallari (SSVM, 2011)

Multiclass Segmentation by Iterated ROF Thresholding. - Xiaohao Cai; Gabriele Steidl (EMMCVPR, 2013)

Vessel Segmentation in Medical Imaging Using a Tight-Frame-Based Algorithm. - Xiaohao Cai; Raymond H. Chan; Serena Morigi; Fiorella Sgallari (SIAM J. Imaging Sci., 2013)

A Two-Stage Image Segmentation Method Using a Convex Variant of the Mumford-Shah Model and Thresholding. - Xiaohao Cai; Raymond H. Chan; Tieyong Zeng (SIAM J. Imaging Sci., 2013)

Non-parametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Forests. - Juheon Lee; Xiaohao Cai; Carola-Bibiane Schönlieb; David Coomes (CoRR, 2014)

Mapping individual trees from airborne multi-sensor imagery. - Juheon Lee; Xiaohao Cai; Carola-Bibiane Schönlieb; David Coomes (IGARSS, 2015)

Variational image segmentation model coupled with image restoration achievements. - Xiaohao Cai (Pattern Recognit., 2015)

Nonparametric Image Registration of Airborne LiDAR, Hyperspectral and Photographic Imagery of Wooded Landscapes. - Juheon Lee; Xiaohao Cai; Carola-Bibiane Schönlieb; David Coomes (IEEE Trans. Geosci. Remote. Sens., 2015)

Individual Tree Species Classification From Airborne Multisensor Imagery Using Robust PCA. - Juheon Lee; Xiaohao Cai; Jan Lellmann; Michele Dalponte; Yadvinder Malhi; Nathalie Butt; Mike Morecroft; Carola-Bibiane Schönlieb; David A. Coomes (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

A graph cut approach to 3D tree delineation, using integrated airborne LiDAR and hyperspectral imagery. - Juheon Lee; David Coomes; Carola-Bibiane Schönlieb; Xiaohao Cai; Jan Lellmann; Michele Dalponte; Yadvinder Malhi; Nathalie Butt; Mike Morecroft (CoRR, 2017)

Uncertainty quantification for radio interferometric imaging: I. proximal MCMC methods. - Xiaohao Cai; Marcelo Pereyra; Jason D. McEwen (CoRR, 2017)

Uncertainty quantification for radio interferometric imaging: II. MAP estimation. - Xiaohao Cai; Marcelo Pereyra; Jason D. McEwen (CoRR, 2017)

Online radio interferometric imaging: assimilating and discarding visibilities on arrival. - Xiaohao Cai; Luke Pratley; Jason D. McEwen (CoRR, 2017)

Variational-based segmentation of bio-pores in tomographic images. - Benjamin Bauer; Xiaohao Cai; Stephan Peth; Katja Schladitz; Gabriele Steidl (Comput. Geosci., 2017)

A Three-Stage Approach for Segmenting Degraded Color Images: Smoothing, Lifting and Thresholding (SLaT). - Xiaohao Cai; Raymond H. Chan; Mila Nikolova; Tieyong Zeng (J. Sci. Comput., 2017)

Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. - Xiaohao Cai; Raymond H. Chan; Carola-Bibiane Schönlieb; Gabriele Steidl; Tieyong Zeng (CoRR, 2018)

Quantifying Uncertainty in High Dimensional Inverse Problems by Convex Optimisation. - Xiaohao Cai; Marcelo Pereyra; Jason D. McEwen (EUSIPCO, 2019)

Three-dimensional Segmentation of Trees Through a Flexible Multi-Class Graph Cut Algorithm (MCGC). - Jonathan V. Williams; Carola-Bibiane Schönlieb; Tom Swinfield; Juheon Lee; Xiaohao Cai; Lan Qie; David A. Coomes (CoRR, 2019)

A Two-stage Classification Method for High-dimensional Data and Point Clouds. - Xiaohao Cai; Raymond H. Chan; Xiaoyu Xie; Tieyong Zeng (CoRR, 2019)

Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. - Xiaohao Cai; Raymond H. Chan; Carola-Bibiane Schönlieb; Gabriele Steidl; Tieyong Zeng (SIAM J. Sci. Comput., 2019)

Wavelet-based segmentation on the sphere. - Xiaohao Cai; Christopher G. R. Wallis; Jennifer Y. H. Chan; Jason D. McEwen (Pattern Recognit., 2020)

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm. - Jonathan Williams 003; Carola-Bibiane Schönlieb; Tom Swinfield; Juheon Lee; Xiaohao Cai; Lan Qie; David A. Coomes (IEEE Trans. Geosci. Remote. Sens., 2020)

Deep Rectum Segmentation for Image Guided Radiation Therapy with Synthetic Data. - Dimitrios Mallios; Xiaohao Cai (EUSIPCO, 2021)

Balanced Neural Architecture Search and Its Application in Specific Emitter Identification. - Mingyang Du; Xikai He; Xiaohao Cai; Daping Bi (IEEE Trans. Signal Process., 2021)

Balanced neural architecture search and optimization for specific emitter identification. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi; Zhifei Li 003 (RFID-TA, 2022)

Proximal nested sampling for high-dimensional Bayesian model selection. - Xiaohao Cai; Jason D. McEwen; Marcelo Pereyra (Stat. Comput., 2022)

DNCNet: Deep Radar Signal Denoising and Recognition. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi (IEEE Trans. Aerosp. Electron. Syst., 2022)

A Bilevel Formalism for the Peer-Reviewing Problem. - Gennaro Auricchio; Ruixiao Zhang; Jie Zhang 008; Xiaohao Cai (ECAI, 2023)

TransNet: A Transfer Learning-Based Network for Human Action Recognition. - Khaled Alomar; Xiaohao Cai (ICMLA, 2023)

IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer. - Keqiang Fan; Xiaohao Cai; Mahesan Niranjan (ICONIP (6), 2023)

GO-LDA: Generalised Optimal Linear Discriminant Analysis. - Jiahui Liu; Xiaohao Cai; Mahesan Niranjan (CoRR, 2023)

Semantic Segmentation by Semantic Proportions. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2023)

Few-shot Learning for Inference in Medical Imaging with Subspace Feature Representations. - Jiahui Liu; Keqiang Fan; Xiaohao Cai; Mahesan Niranjan (CoRR, 2023)

A Randomized Block Krylov Method for Tensor Train Approximation. - Gaohang Yu; Jinhong Feng; Zhongming Chen; Xiaohao Cai; Liqun Qi 001 (CoRR, 2023)

Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes. - Jiahui Liu; Xiaohao Cai; Mahesan Niranjan (CoRR, 2023)

Data Augmentation in Classification and Segmentation: A Survey and New Strategies. - Khaled Alomar; Halil Ibrahim Aysel; Xiaohao Cai (J. Imaging, 2023)

Robust Bayesian attention belief network for radar work mode recognition. - Mingyang Du; Ping Zhong 001; Xiaohao Cai; Daping Bi; Aiqi Jing (Digit. Signal Process., 2023)

Practical Sketching Algorithms for Low-Rank Tucker Approximation of Large Tensors. - Wandi Dong; Gaohang Yu; Liqun Qi 001; Xiaohao Cai (J. Sci. Comput., 2023)

Remote Sensing Image Ship Matching Utilising Line Features for Resource-Limited Satellites. - Leyang Li; Guixing Cao; Jun Liu; Xiaohao Cai (Sensors, 2023)

Detect Closer Surfaces That Can be Seen: New Modeling and Evaluation in Cross-Domain 3D Object Detection. - Ruixiao Zhang; Yihong Wu 004; Juheon Lee; Xiaohao Cai; Adam Prügel-Bennett (ECAI, 2024)

Discrepancy-based diffusion models for lesion detection in brain MRI. - Keqiang Fan; Xiaohao Cai; Mahesan Niranjan (Comput. Biol. Medicine, 2024)

Talk2Radar: Bridging Natural Language with 4D mmWave Radar for 3D Referring Expression Comprehension. - Runwei Guan; Ruixiao Zhang; Ningwei Ouyang; Jianan Liu; Ka Lok Man; Xiaohao Cai; Ming Xu 011; Jeremy S. Smith; Eng Gee Lim; Yutao Yue; Hui Xiong 001 (CoRR, 2024)

RNNs, CNNs and Transformers in Human Action Recognition: A Survey and A Hybrid Model. - Khaled Alomar; Halil Ibrahim Aysel; Xiaohao Cai (CoRR, 2024)

Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection. - Ruixiao Zhang; Juheon Lee; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2024)

Editorial: Segmentation and classification: theories, algorithms and applications. - Xiaohao Cai; Youwei Wen; Jianming Liang (Frontiers Comput. Sci., 2024)

Non-negative subspace feature representation for few-shot learning in medical imaging. - Keqiang Fan; Xiaohao Cai; Mahesan Niranjan (Image Vis. Comput., 2024)

3D orientation field transform. - Wai-Tsun Yeung; Xiaohao Cai; Zizhen Liang; Byung-Ho Kang (Pattern Anal. Appl., 2024)

Multilevel Explainable Artificial Intelligence: Visual and Linguistic Bonded Explanations. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (IEEE Trans. Artif. Intell., 2024)

GAMED: Knowledge Adaptive Multi-Experts Decoupling for Multimodal Fake News Detection. - Lingzhi Shen; Yunfei Long; Xiaohao Cai; Imran Razzak; Guanming Chen; Kang Liu; Shoaib Jameel (WSDM, 2025)

Neural varifolds: an aggregate representation for quantifying the geometry of point clouds. - Juheon Lee; Xiaohao Cai; Carola-Bibiane Schönlieb; Simon Masnou (Trans. Mach. Learn. Res., 2025)

tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation. - Guanghua He; Wangang Cheng; Hancan Zhu; Xiaohao Cai; Gaohang Yu (CoRR, 2025)

Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks. - Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett (CoRR, 2025)

LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. - Lingzhi Shen; Yunfei Long; Xiaohao Cai; Guanming Chen; Yuhan Wang; Imran Razzak; Shoaib Jameel (CoRR, 2025)

CornerPoint3D: Look at the Nearest Corner Instead of the Center. - Ruixiao Zhang; Runwei Guan; Xiangyu Chen; Adam Prügel-Bennett; Xiaohao Cai (CoRR, 2025)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. - Lingzhi Shen; Yunfei Long; Xiaohao Cai; Guanming Chen; Imran Razzak; Shoaib Jameel (CoRR, 2025)

MOGO: Residual Quantized Hierarchical Causal Transformer for High-Quality and Real-Time 3D Human Motion Generation. - Dongjie Fu; Tengjiao Sun; Pengcheng Fang; Xiaohao Cai; Hansung Kim 001 (CoRR, 2025)

GRASPTrack: Geometry-Reasoned Association via Segmentation and Projection for Multi-Object Tracking. - Xudong Han; Pengcheng Fang; Yueying Tian; Jianhui Yu; Xiaohao Cai; Daniel Roggen; Philip Birch (CoRR, 2025)