11 papers
Adversarial Batch Representation Augmentation for Batch Correction in High-Content Cellular Screening
Lei Tong, Xujing Yao, Adam Corrigan +6
High-Content Screening routinely generates massive volumes of cell painting images for phenotypic profiling. However, technical variations across experimental executions inevitably…
LLM-Guided Diagnostic Evidence Alignment for Medical Vision-Language Pretraining under Limited Pairing
Huimin Yan, Liang Bai, Xian Yang +1
Most existing CLIP-style medical vision--language pretraining methods rely on global or local alignment with substantial paired data. However, global alignment is easily dominated…
MotionAdapter: Video Motion Transfer via Content-Aware Attention Customization
Zhexin Zhang, Yangyang Xu, Yifeng Zhu +4
Recent advances in diffusion-based text-to-video models, particularly those built on the diffusion transformer architecture, have achieved remarkable progress in generating high-qu…
FlowDC: Flow-Based Decoupling-Decay for Complex Image Editing
Yilei Jiang, Zhen Wang, Yanghao Wang +4
With the surge of pre-trained text-to-image flow matching models, text-based image editing performance has gained remarkable improvement, especially for \underline{simple editing}…
Target-aware Image Editing via Cycle-consistent Constraints
Yanghao Wang, Zhen Wang, Long Chen
Recent pre-trained text-to-image flow models have enabled remarkable progress in text-based image editing. Mainstream approaches adopt a corruption-then-restoration paradigm, where…
Exploring Cross-Modal Flows for Few-Shot Learning
Ziqi Jiang, Yanghao Wang, Long Chen
Aligning features from different modalities, is one of the most fundamental challenges for cross-modal tasks. Although pre-trained vision-language models can achieve a general alig…
Multimodal Conditional MeshGAN for Personalized Aneurysm Growth Prediction
Long Chen, Ashiv Patel, Mengyun Qiao +8
Personalized, accurate prediction of aortic aneurysm progression is essential for timely intervention but remains challenging due to the need to model both subtle local deformation…
Noise Matters: Optimizing Matching Noise for Diffusion Classifiers
Yanghao Wang, Long Chen
Although today's pretrained discriminative vision-language models (e.g., CLIP) have demonstrated strong perception abilities, such as zero-shot image classification, they also suff…
SleepGMUformer: A gated multimodal temporal neural network for sleep staging
Chenjun Zhao, Xuesen Niu, Xinglin Yu +4
Sleep staging is a key method for assessing sleep quality and diagnosing sleep disorders. However, current deep learning methods face challenges: 1) postfusion techniques ignore th…
MSF: Efficient Diffusion Model Via Multi-Scale Latent Factorize
Haohang Xu, Longyu Chen, Yichen Zhang +2
While diffusion-based generative models have made significant strides in visual content creation, conventional approaches face computational challenges, especially for high-resolut…
Inversion Circle Interpolation: Diffusion-based Image Augmentation for Data-scarce Classification
Yanghao Wang, Long Chen
Data Augmentation (DA), i.e., synthesizing faithful and diverse samples to expand the original training set, is a prevalent and effective strategy to improve the performance of var…