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Home/Authors/Xiaomeng Li

Xiaomeng Li

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

19

papers

603

total citations

papers (19)

CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No

Holistic Autonomous Driving Understanding by Bird’s-Eye-View Injected Multi-Modal Large Models

RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning

Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation

NEURIPS 2023arXiv

Support-Set Based Cross-Supervision for Video Grounding

AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation

GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation

Learning Shadow Correspondence for Video Shadow Detection

Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks

Towards Distribution-Agnostic Generalized Category Discovery

NEURIPS 2023arXiv

C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction

CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos

Token Activation Map to Visually Explain Multimodal LLMs

MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation

Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction

Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation

Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images

M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection

Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation