Junjun He

dMLLM-TTS: Self-Verified and Efficient Test-Time Scaling for Diffusion Multi-Modal Large Language Models CVPR 2026 EvoGraph-R1: Self-Evolving Multimodal Knowledge Hypergraphs for Agentic Retrieval CVPR 2026 GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI AAAI 2026 HyperST: Hierarchical Hyperbolic Learning for Spatial Transcriptomics Prediction CVPR 2026 Multimodal Medical Image Binding via Shared Text Embeddings WACV 2026 S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision AAAI 2026 Towards Efficient Medical Reasoning with Minimal Fine-Tuning Data CVPR 2026 FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process ICCV 2025 FPN-in-FPN: A Nested Multi-Scale Aggregation Network for Polyp Segmentation MICCAI 2025 HyperPath: Knowledge-Guided Hyperbolic Semantic Hierarchy Modeling for WSI Analysis MICCAI 2025 Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline CVPR 2025 Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation ICLR 2025 MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization MICCAI 2025 MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation ACL 2025 MSWAL: 3D Multi-class Segmentation of Whole Abdominal Lesions Dataset MICCAI 2025 Multi-modal MRI Translation via Evidential Regression and Distribution Calibration MICCAI 2025 OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text ICLR 2025 OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining ICCV 2025 Ophora: A Large-Scale Data-Driven Text-Guided Ophthalmic Surgical Video Generation Model MICCAI 2025 RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions MICCAI 2025 Robust Multimodal Learning for Ophthalmic Disease Grading via Disentangled Representation MICCAI 2025 Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data ICCV 2025 SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding CVPR 2025 Towards Interpretable Counterfactual Generation via Multimodal Autoregression MICCAI 2025 Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024 GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI NeurIPS 2024 OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM CVPR 2024 SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation MICCAI 2024 SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models ICML 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Neural Transformation Fields for Arbitrary-Styled Font Generation CVPR 2023 Vision Transformer Adapter for Dense Predictions ICLR 2023 Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition ECCV 2020 Dynamic Sampling Network for Semantic Segmentation AAAI 2020 EfficientFCN: Holistically-guided Decoding for Semantic Segmentation ECCV 2020 Learning to Predict Context-adaptive Convolution for Semantic Segmentation ECCV 2020 Tensor Low-Rank Reconstruction for Semantic Segmentation ECCV 2020 Adaptive Pyramid Context Network for Semantic Segmentation CVPR 2019 Dynamic Multi-Scale Filters for Semantic Segmentation ICCV 2019