Tianbin Li
11 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Gold πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Silver π₯ Mega-Team Β· Squad π€ Dynamic Duo (11)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
π
Conference Pioneer
Top co-authors
Research topics
Keywords
multimodal learning
(4)
visual question answering
(4)
medical imaging
(4)
vision-language model
(3)
benchmark dataset
(2)
large vision-language model
(2)
benchmark evaluation
(2)
semantic segmentation
(2)
knowledge graph
(1)
universal segmentation
(1)
knowledge distillation
(1)
markov decision process
(1)
medical image segmentation
(1)
retrieval-augmented generation
(1)
instruction following
(1)
vision foundation model
(1)
vision-language pre-training
(1)
multimodal large language model
(1)
instance segmentation
(1)
self-supervised learning
(1)
Papers
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
S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision
AAAI 2026
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
CVPR 2025
OphCLIP: Hierarchical Retrieval-Augmented Learning for Ophthalmic Surgical Video-Language Pretraining
ICCV 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
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