IEEE

AMT-Net: Adversarial Motion Transfer Network With Disentangled Shape and Pose for Realistic Image Animation

Abstract: Computer vision advancements allow motion transfer for animating static objects in images. However, current methods rely on manually collected motion labels and struggle with accurate shape ...
IEEE

Consistent and Controllable Image Animation with Motion Diffusion Models

Abstract: Diffusion models have achieved significant progress in the task of image animation due to their powerful generative capabilities. However, preserving appearance consistency to the static ...
GitHub

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis

This repository contains the official implementation of the paper: MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis, MICCAI2025. If you have any questions, ...
GitHub

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification

Abstract: The expensive fine-grained annotation and data scarcity have become the primary obstacles for the widespread adoption of deep learning-based Whole Slide Images (WSI) classification ...