Junjun He
35 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (10) π Academic Marathon (7) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (11)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(45)
π€
Dynamic Duo
(16)
π₯
Mega-Team
(53)
π
Grand Slam
π
Conference Pioneer
ποΈ
Keyword Collector
(96)
π
Century Club
(33)
β
The Questioner
β‘
Prolific Year
(6)
Conferences
MICCAI (10)
CVPR (6)
ECCV (4)
ICCV (4)
AAAI (3)
ICLR (3)
NIPS (2)
ACL (1)
ICML (1)
WACV (1)
Top co-authors
Research topics
Keywords
medical imaging
(6)
semantic segmentation
(5)
visual question answering
(4)
benchmark evaluation
(4)
few-shot learning
(4)
multimodal learning
(4)
vision-language model
(3)
font generation
(3)
style transfer
(3)
image generation
(2)
computed tomography
(2)
large vision-language model
(2)
diffusion model
(2)
medical image segmentation
(2)
benchmark dataset
(2)
multi-scale context
(2)
self-supervised learning
(1)
video generation
(1)
zero-shot learning
(1)
memory recall
(1)
Papers
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI
AAAI 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
FontAnimate: High Quality Few-shot Font Generation via Animating Font Transfer Process
ICCV 2025
MMRC: A Large-Scale Benchmark for Understanding Multimodal Large Language Model in Real-World Conversation
ACL 2025
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
CVPR 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Scaling Tumor Segmentation: Best Lessons from Real and Synthetic Data
ICCV 2025
OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text
ICLR 2025
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
ICLR 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
MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
MICCAI 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
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
Towards Interpretable Counterfactual Generation via Multimodal Autoregression
MICCAI 2025
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
NIPS 2024
Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models
CVPR 2024
SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large Language Models
ICML 2024
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
MICCAI 2024
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
CVPR 2024
Neural Transformation Fields for Arbitrary-Styled Font Generation
CVPR 2023
Vision Transformer Adapter for Dense Predictions
ICLR 2023
Dynamic Sampling Network for Semantic Segmentation
AAAI 2020
Tensor Low-Rank Reconstruction for Semantic Segmentation
ECCV 2020
Attention-Driven Dynamic Graph Convolutional Network for Multi-Label Image Recognition
ECCV 2020
Learning to Predict Context-adaptive Convolution for Semantic Segmentation
ECCV 2020
EfficientFCN: Holistically-guided Decoding for Semantic Segmentation
ECCV 2020
Adaptive Pyramid Context Network for Semantic Segmentation
CVPR 2019
Dynamic Multi-Scale Filters for Semantic Segmentation
ICCV 2019