Lihao Liu

IEEE Trans. Intell. Transp. Syst., February, 2025

Contrastive Registration for Unsupervised Medical Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2025

Learning homeomorphic image registration via conformal-invariant hyperelastic regularisation.

[BibT_eX]

[DOI]

Medical Image Anal., 2025

GTN-Cell: Efficient Standard Cell Characterization Using Graph Transformer Network.

[BibT_eX]

[DOI]

Proceedings of the Design, Automation & Test in Europe Conference, 2025

Detect Any Mirrors: Boosting Learning Reliability on Large-Scale Unlabeled Data with an Iterative Data Engine.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

[BibT_eX]

[DOI]

Jiuming Liu

Jinru Han

Chaokang Jiang

Zhe Liu

Hesheng Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

GNN-Cap: Chip-Scale Interconnect Capacitance Extraction Using Graph Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2024

CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting.

[BibT_eX]

[DOI]

Medical Image Anal., February, 2024

Continuous U-Net: Faster, Greater and Noiseless.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2024

DNN distributed inference offloading scheme based on transfer reinforcement learning in metro optical networks.

[BibT_eX]

[DOI]

J. Opt. Commun. Netw., 2024

YOLO-UniOW: Efficient Universal Open-World Object Detection.

[BibT_eX]

[DOI]

CoRR, 2024

LAMBDA: Covering the Multimodal Critical Scenarios for Automated Driving Systems by Search Space Quantization.

[BibT_eX]

[DOI]

CoRR, 2024

EADReg: Probabilistic Correspondence Generation with Efficient Autoregressive Diffusion Model for Outdoor Point Cloud Registration.

[BibT_eX]

[DOI]

CoRR, 2024

MAMBA4D: Efficient Long-Sequence Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models.

[BibT_eX]

[DOI]

Jiuming Liu

Jinru Han

Chaokang Jiang

Zhe Liu

Hesheng Wang

CoRR, 2024

Unsupervised lung CT image registration via stochastic decomposition of deformation fields.

[BibT_eX]

[DOI]

Jing Zou

Youyi Song

Jing Qin

Comput. Medical Imaging Graph., 2024

YOLOv10: Real-Time End-to-End Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

[BibT_eX]

[DOI]

Angelica E. Avilés-Rivero

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Biophysics Informed Pathological Regularisation for Brain Tumour Segmentation.

[BibT_eX]

[DOI]

Lipei Zhang

Yanqi Cheng

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

Optimised Propainter for Video Diminished Reality Inpainting.

[BibT_eX]

[DOI]

Pengze Li

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Context Enhancement with Reconstruction as Sequence for Unified Unsupervised Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios.

[BibT_eX]

[DOI]

Angelica E. Avilés-Rivero

CoRR, 2023

Traffic Video Object Detection using Motion Prior.

[BibT_eX]

[DOI]

CoRR, 2023

MammoDG: Generalisable Deep Learning Breaks the Limits of Cross-Domain Multi-Center Breast Cancer Screening.

[BibT_eX]

[DOI]

CoRR, 2023

Homeomorphic Image Registration via Conformal-Invariant Hyperelastic Regularisation.

[BibT_eX]

[DOI]

CoRR, 2023

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection, Segmentation, Classification and Counting.

[BibT_eX]

[DOI]

Josef Lorenz Rumberger

Raja Muhammad Saad Bashir

CoRR, 2023

Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition Through the Lens of Robustness.

[BibT_eX]

[DOI]

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

SCOTCH and SODA: A Transformer Video Shadow Detection Framework.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The Impact of Fiscal Expenditure on the Optimization of Industrial Structure-An Empirical Analysis Based on Data Statistics from 2006 to 2021.

[BibT_eX]

[DOI]

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

Image Super-Resolution Method Based on Dual Learning.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., 2022

Generative Image Inpainting with Dilated Deformable Convolution.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., 2022

LAMBDA: Covering the Solution Set of Black-Box Inequality by Search Space Quantization.

[BibT_eX]

[DOI]

CoRR, 2022

PC-SwinMorph: Patch Representation for Unsupervised Medical Image Registration and Segmentation.

[BibT_eX]

[DOI]

Zhening Huang

Pietro Liò

CoRR, 2022

Deformable Lung CT Registration by Decomposing Large Deformation.

[BibT_eX]

[DOI]

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

You only Look at Patches: A Patch-wise Framework for 3D Unsupervised Medical Image Registration.

[BibT_eX]

[DOI]

Zhening Huang

Pietro Liò

Proceedings of the Biomedical Image Registration - 10th International Workshop, 2022

Simultaneous Semantic and Instance Segmentation for Colon Nuclei Identification and Counting.

[BibT_eX]

[DOI]

Chenyang Hong