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Xiaomeng Li

50 papers · 2021–2026 · 9 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+12 more ↓ πŸ—ΊοΈ Taxonomy Completionist (59) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
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Papers

CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation AAAI 2026 Into the Gray Zone: Domain Contexts Can Blur LLM Safety Boundaries ACL 2026 OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation AAAI 2026 Prompt Yourself: Awakening Textual Semantics in 1D Visual Tokenizers CVPR 2026 Scaling and Transferability of Annealing Strategies in Large Language Model Training AAAI 2026 TLMA: Mitigating the Impact of Weakly Labeled Information for Video Anomaly Detection CVPR 2026 Adaptive Frame Selection for Gestational Age Estimation from Blind Sweep Fetal Ultrasound Videos MICCAI 2025 CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner MICCAI 2025 Concept-Based Unsupervised Domain Adaptation ICML 2025 Cross-view Generalized Diffusion Model for Sparse-view CT Reconstruction MICCAI 2025 EchoViewCLIP: Advancing Video Quality Control through High-performance View Recognition of Echocardiography MICCAI 2025 Geometric-Guided Few-Shot Dental Landmark Detection with Human-Centric Foundation Model MICCAI 2025 Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks ICLR 2025 Leveraging Anatomical Consistency for Multi-Object Detection in Ultrasound Images via Source-free Unsupervised Domain Adaptation AAAI 2025 MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization MICCAI 2025 MOC: Meta-Optimized Classifier for Few-Shot Whole Slide Image Classification MICCAI 2025 Multi-Agent Collaboration for Integrating Echocardiography Expertise in Multi-Modal Large Language Models MICCAI 2025 MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation CVPR 2025 Neurons: Emulating the Human Visual Cortex Improves Fidelity and Interpretability in fMRI-to-Video Reconstruction ICCV 2025 Token Activation Map to Visually Explain Multimodal LLMs ICCV 2025 VAMPIRE: Uncovering Vessel Directional and Morphological Information from OCTA Images for Cardiovascular Disease Risk Factor Prediction MICCAI 2025 AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation CVPR 2024 An Organism Starts with a Single Pix-Cell: A Neural Cellular Diffusion for High-Resolution Image Synthesis MICCAI 2024 Bidirectional Recurrence for Cardiac Motion Tracking with Gaussian Process Latent Coding NeurIPS 2024 C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction CVPR 2024 CardiacNet: Learning to Reconstruct Abnormalities for Cardiac Disease Assessment from Echocardiogram Videos ECCV 2024 Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations ICLR 2024 FD-SOS: Vision-Language Open-Set Detectors for Bone Fenestration and Dehiscence Detection from Intraoral Images MICCAI 2024 Few-Shot Lymph Node Metastasis Classification Meets High Performance on Whole Slide Images via the Informative Non-Parametric Classifier MICCAI 2024 HiA: Towards Chinese Multimodal LLMs for Comparative High-Resolution Joint Diagnosis MICCAI 2024 Holistic Autonomous Driving Understanding by Bird's-Eye-View Injected Multi-Modal Large Models CVPR 2024 Learning 3D Gaussians for Extremely Sparse-View Cone-Beam CT Reconstruction MICCAI 2024 M3-UDA: A New Benchmark for Unsupervised Domain Adaptive Fetal Cardiac Structure Detection CVPR 2024 Spatial-Division Augmented Occupancy Field for Bone Shape Reconstruction from Biplanar X-Rays MICCAI 2024 Teach CLIP to Develop a Number Sense for Ordinal Regression ECCV 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 Tri-Plane Mamba: Efficiently Adapting Segment Anything Model for 3D Medical Images MICCAI 2024 Unsupervised Domain Adaptation for Anatomical Structure Detection in Ultrasound Images ICML 2024 CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No ICCV 2023 GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation ICCV 2023 Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation NeurIPS 2023 Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks AAAI 2023 Towards Distribution-Agnostic Generalized Category Discovery NeurIPS 2023 Towards Generic Semi-Supervised Framework for Volumetric Medical Image Segmentation NeurIPS 2023 Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation AAAI 2022 Learning Shadow Correspondence for Video Shadow Detection ECCV 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 Separated Contrastive Learning for Organ-at-Risk and Gross-Tumor-Volume Segmentation with Limited Annotation AAAI 2022 Uncertainty Estimation via Response Scaling for Pseudo-Mask Noise Mitigation in Weakly-Supervised Semantic Segmentation AAAI 2022 Support-Set Based Cross-Supervision for Video Grounding ICCV 2021