2025
Feedback Attention to Enhance Unsupervised Deep Learning Image Registration in 3D Echocardiography.
IEEE Trans. Medical Imaging, May, 2025
Enhanced DTCMR With Cascaded Alignment and Adaptive Diffusion.
,
,
,
,
,
,
,
,
,
,
,
,
,
,
,
IEEE Trans. Medical Imaging, April, 2025
Topology-Preserving Loss for Accurate and Anatomically Consistent Cardiac Mesh Reconstruction.
CoRR, March, 2025
2024
A Visual-Inertial Pressure Fusion-Based Underwater Simultaneous Localization and Mapping System.
Sensors, May, 2024
Gaussians on their Way: Wasserstein-Constrained 4D Gaussian Splatting with State-Space Modeling.
CoRR, 2024
Differentiable Topology Estimating from Curvatures for 3D Shapes.
CoRR, 2024
ViT3D Alignment of LLaMA3: 3D Medical Image Report Generation.
CoRR, 2024
LawDNet: Enhanced Audio-Driven Lip Synthesis via Local Affine Warping Deformation.
CoRR, 2024
Explicit Differentiable Slicing and Global Deformation for Cardiac Mesh Reconstruction.
,
,
,
,
,
,
,
,
,
,
,
CoRR, 2024
MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization.
CoRR, 2024
Differentiable Voxelization and Mesh Morphing.
CoRR, 2024
Groupwise Deformable Registration of Diffusion Tensor Cardiovascular Magnetic Resonance: Disentangling Diffusion Contrast, Respiratory and Cardiac Motions.
,
,
,
,
,
,
,
,
,
,
,
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
A Fourier Perspective of Feature Extraction and Adversarial Robustness.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
BootRIST: Detecting and Isolating Mercurial Cores at the Booting Stage.
Proceedings of the Computer Security - ESORICS 2024, 2024
2023
A Weakly Supervised-Guided Soft Attention Network for Classification of Intracranial Hemorrhage.
IEEE Trans. Cogn. Dev. Syst., March, 2023
Dynamic multi-scale loss optimization for object detection.
Multim. Tools Appl., 2023
For One-Shot Decoding: Self-supervised Deep Learning-Based Polar Decoder.
CoRR, 2023
SelfTalk: A Self-Supervised Commutative Training Diagram to Comprehend 3D Talking Faces.
Proceedings of the 31st ACM International Conference on Multimedia, 2023
D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Frequency and Scale Perspectives of Feature Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2023
An Application of Quantum Mechanics to Attention Methods in Computer Vision.
Proceedings of the IEEE International Conference on Acoustics, 2023
Training Robust Spiking Neural Networks with Viewpoint Transform and Spatiotemporal Stretching.
Proceedings of the IEEE International Conference on Acoustics, 2023
Training Robust Spiking Neural Networks on Neuromorphic Data with Spatiotemporal Fragments.
Proceedings of the IEEE International Conference on Acoustics, 2023
Training Stronger Spiking Neural Networks with Biomimetic Adaptive Internal Association Neurons.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Conversion of Siamese networks to spiking neural networks for energy-efficient object tracking.
Neural Comput. Appl., 2022
CE-FPN: enhancing channel information for object detection.
Multim. Tools Appl., 2022
Contour information regularized tensor ring completion for realistic image restoration.
IET Image Process., 2022
ECG Classification Based on Wasserstein Scalar Curvature.
Entropy, 2022
Modeling Associative Plasticity between Synapses to Enhance Learning of Spiking Neural Networks.
CoRR, 2022
Improved Regularization of Event-based Learning by Reversing and Drifting.
CoRR, 2022
Dual-branch network via pseudo-label training for thyroid nodule detection in ultrasound image.
Appl. Intell., 2022
Efficient CNN Architecture Design Guided by Visualization.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022
Multi-Scale Reinforcement Learning Strategy for Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Dynamic Multi-Scale Loss Balance for Object Detection.
Proceedings of the IEEE International Conference on Acoustics, 2022
Multi-View Data Representation Via Deep Autoencoder-Like Nonnegative Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2022
Kernel Estimation Network for Blind Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Multi-level colonoscopy malignant tissue detection with adversarial CAC-UNet.
Neurocomputing, 2021
DAEANet: Dual auto-encoder attention network for depth map super-resolution.
Neurocomputing, 2021
Blind image super-resolution based on prior correction network.
Neurocomputing, 2021
SFCN: Symmetric feature comparison network for detecting ischemic stroke lesions on CT images.
IET Image Process., 2021
Geometric Characteristics of the Wasserstein Metric on SPD(n) and Its Applications on Data Processing.
Entropy, 2021
AWCD: An Efficient Point Cloud Processing Approach via Wasserstein Curvature.
CoRR, 2021
Machine Learning based Analog Beam Selection for Concurrent Transmissions in mmWave Heterogeneous Networks.
Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021
SiamSNN: Siamese Spiking Neural Networks for Energy-Efficient Object Tracking.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021
2020
Object detector with enriched global context information.
Multim. Tools Appl., 2020
SiamSNN: Spike-based Siamese Network for Energy-Efficient and Real-time Object Tracking.
CoRR, 2020
2019
Learning deep embedding with mini-cluster loss for person re-identification.
Multim. Tools Appl., 2019
A Spiking Neural Network Architecture for Object Tracking.
Proceedings of the Image and Graphics - 10th International Conference, 2019
Breast Cancer Image Classification on WSI with Spatial Correlations.
Proceedings of the IEEE International Conference on Acoustics, 2019
Machine Learning Based Analog Beam Selection for 5G mmWave Small Cell Networks.
Proceedings of the 2019 IEEE Globecom Workshops, Waikoloa, HI, USA, December 9-13, 2019, 2019