Lanfen Lin
16 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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๐ Interdisciplinary Bridge ๐ Renaissance Researcher (5) ๐ Academic Marathon (5) ๐ Conference Polyglot (6) ๐บ๏ธ Taxonomy Completionist (23)
๐บ๏ธ
Taxonomy Completionist
(23)
๐งญ
Keyword Pioneer
๐ค
Dynamic Duo
(14)
โก
Prolific Year
(5)
๐
Conference Pioneer
๐
Century Club
(15)
๐๏ธ
Keyword Collector
(50)
๐ฅ
Unstoppable
(5)
Conferences
MICCAI (5)
AAAI (4)
CVPR (2)
ICCV (2)
IJCAI (2)
NIPS (1)
Top co-authors
Keywords
medical image segmentation
(4)
vision transformer
(3)
semi-supervised learning
(3)
semantic segmentation
(3)
vision-language model
(2)
multi-task learning
(2)
human pose estimation
(1)
attention mechanism
(1)
manifold learning
(1)
medical imaging
(1)
optimal transport
(1)
person re-identification
(1)
object detection
(1)
referring expression
(1)
visual grounding
(1)
scene understanding
(1)
boundary detection
(1)
convolutional neural network
(1)
representation learning
(1)
transformer architecture
(1)
Papers
Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models
AAAI 2026
Region-aware Anchoring Mechanism for Efficient Referring Visual Grounding
ICCV 2025
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration
MICCAI 2025
M2OST: Many-to-one Regression for Predicting Spatial Transcriptomics from Digital Pathology Images
AAAI 2025
Clinical Data-Driven Retrieval-Augmented Model for Lung Nodule Malignancy Prediction
MICCAI 2025
PD-UniST: Prompt-Driven Universal Model for Unpaired H&E-to-IHC Stain Translation
MICCAI 2025
Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models
CVPR 2024
LGA: A Language Guide Adapter for Advancing the SAM Modelโs Capabilities in Medical Image Segmentation
MICCAI 2024
Combinatorial CNN-Transformer Learning with Manifold Constraints for Semi-supervised Medical Image Segmentation
AAAI 2024
A Novel Adaptive Hypergraph Neural Network for Enhancing Medical Image Segmentation
MICCAI 2024
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
NIPS 2023
ClassFormer: Exploring Class-Aware Dependency with Transformer for Medical Image Segmentation
AAAI 2023
SemiCVT: Semi-Supervised Convolutional Vision Transformer for Semantic Segmentation
CVPR 2023
SLViT: Scale-Wise Language-Guided Vision Transformer for Referring Image Segmentation
IJCAI 2023
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise โจPerspective for Medical Image Segmentation
IJCAI 2022
Graph-BAS3Net: Boundary-Aware Semi-Supervised Segmentation Network With Bilateral Graph Convolution
ICCV 2021