Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations
The task of classifying mammograms is very challenging because the lesion is usually small in the high resolution image. The current state-of-the-art approaches for medical image classification...
Variational Multi-Task MRI Reconstruction: Joint Reconstruction, Registration and Super-Resolution
Motion degradation is a central problem in Magnetic Resonance Imaging (MRI). This work addresses the problem of how to obtain higher quality, super-resolved motion-free, reconstructions from...
Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation
2023-01
ICCV
Decentralized Attention Fails Centralized Signals: Rethinking Transformers for Medical Time Series
2026-01
ICLR
D2SA: Dual-Stage Distribution and Slice Adaptation for Efficient Test-Time Adaptation in MRI Reconstruction
2025-01
NeurIPS
Mamba4D: Efficient 4D Point Cloud Video Understanding with Disentangled Spatial-Temporal State Space Models
2025-01
CVPR
Genuine Knowledge from Practice: Diffusion Test-Time Adaptation for Video Adverse Weather Removal
2024-01
CVPR
3D Wavelet-Based Structural Priors for Controlled Diffusion in Whole-Body Low-Dose PET Denoising
2026-01
ICPR (9)
Training-Free Feature Reconstruction with Sparse Optimization for Vision-Language Models
2024-01
ACM Multimedia
TrafficMOT: A Challenging Dataset for Multi-Object Tracking in Complex Traffic Scenarios
2024-01
ACM Multimedia