Tianbin Li
10 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🌈 Renaissance Researcher (6)
🌈
Renaissance Researcher
(6)
👥
Mega-Team
(20)
🤝
Dynamic Duo
(10)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
💎
Century Club
(10)
Conferences
CVPR (3)
MICCAI (3)
AAAI (2)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
visual question answering
(4)
medical imaging
(4)
vision-language model
(3)
multimodal learning
(3)
benchmark evaluation
(2)
semantic segmentation
(2)
benchmark dataset
(2)
large vision-language model
(2)
vision language model
(1)
medical image segmentation
(1)
knowledge distillation
(1)
universal segmentation
(1)
instruction following
(1)
whole slide image
(1)
instance segmentation
(1)
medical diagnosis
(1)
vision foundation model
(1)
multi-modal learning
(1)
self-supervised learning
(1)
image segmentation
(1)
Papers
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI
AAAI 2026
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 2025
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025
RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions
MICCAI 2025
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
CVPR 2025
Towards Interpretable Counterfactual Generation via Multimodal Autoregression
MICCAI 2025
SAM-Med3D-MoE: Towards a Non-Forgetting Segment Anything Model via Mixture of Experts for 3D Medical Image Segmentation
MICCAI 2024
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLM
CVPR 2024
GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI
NIPS 2024