Junjun He

18

Papers

86

Total Citations

Papers (18)

SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding

Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline

OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining

Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation

Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models

Adaptive Pyramid Context Network for Semantic Segmentation

Neural Transformation Fields for Arbitrary-Styled Font Generation

Dynamic Multi-Scale Filters for Semantic Segmentation

Tensor Low-Rank Reconstruction for Semantic Segmentation

Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition

Learning to Predict Context-adaptive Convolution for Semantic Segmentation

EfficientFCN: Holistically-guided Decoding for Semantic Segmentation

FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process

Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery

NeurIPS 2025arXiv

OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM