← Search

Lijiang Liu

2 accepted papers

2026

EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition

AAAI 2026technical

Identification of fine-grained embryo developmental stages during In Vitro Fertilization (IVF) is crucial for assessing embryo viability. Although recent deep learning methods have achieved promising accuracy, existing discriminative models fail to utilize the distributional prior of embryonic devel

Cited by 0SourcePDFScholar
2025

GenM3: Generative Pretrained Multi-path Motion Model for Text Conditional Human Motion Generation

ICCV 2025poster

Scaling up motion datasets is crucial to enhance motion generation capabilities. However, training on large-scale multi-source datasets introduces data heterogeneity challenges due to variations in motion content. To address this, we propose Generative Pretrained Multi-path Motion Model (GenM^3), a…

Cited by 0SourcePDFScholar