Linlin Shen

16

Papers

28

Total Citations

Papers (16)

MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities

WSI-LLaVA: A Multimodal Large Language Model for Whole Slide Image

SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data

DAP-MAE: Domain-Adaptive Point Cloud Masked Autoencoder for Effective Cross-Domain Learning

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation

CA-Edit: Causality-Aware Condition Adapter for High-Fidelity Local Facial Attribute Editing

Like an Ophthalmologist: Dynamic Selection Driven Multi-View Learning for Diabetic Retinopathy Grading

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping

APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation

Tune-An-Ellipse: CLIP Has Potential to Find What You Want

FaceBench: A Multi-View Multi-Level Facial Attribute VQA Dataset for Benchmarking Face Perception MLLMs

Multi-scale Dynamic and Hierarchical Relationship Modeling for Facial Action Units Recognition

FineMotion: A Dataset and Benchmark with both Spatial and Temporal Annotation for Fine-grained Motion Generation and Editing

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation