Lichao Mou

12 papers · 2019–2026 · 6 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.

Achievements

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+3 more ↓

🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (10)

⚡ Prolific Year · Productive 💎 Century Club · Bronze 🚀 Conference Pioneer

Venues

MICCAI (6) CVPR (2) AAAI (1) ECCV (1) ICCV (1) ICLR (1)

Top co-authors

Xiao Xiang Zhu (10) Yilei Shi (9) Jingliang Hu (8) Zixuan Zheng (5) Chunlei Li (4) Shengwu Xiong (3) Yaxiong Chen (3) Xiaoxiang Zhu (2) Pu Jin (1) Dejing Dou (1)

Research topics

Computer Vision (4) Machine Learning (4) Learning Types · Machine Learning (4) Analysis (3) Deep Learning (2) Application Areas (2) Domain-Specific (2) Processing (2) Healthcare & Medicine (1) Architectures (1) Clinical (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

semantic segmentation (2) medical imaging (2) semi-supervised learning (2) contrastive learning (2) latent space (1) aerial image (1) variance minimization (1) student-teacher learning (1) spatial relation (1) neural controlled differential equation (1) fully convolutional network (1) land cover mapping (1) reverse distillation (1) relation module (1) test-time training (1) cardiac imaging (1) ejection fraction (1) channel relation (1) ultrasound image segmentation (1) anomaly detection (1)

Papers

ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling AAAI 2026 High-Order Progressive Trajectory Matching for Medical Image Dataset Distillation MICCAI 2025 Q-PART: Quasi-Periodic Adaptive Regression with Test-time Training for Pediatric Left Ventricular Ejection Fraction Regression CVPR 2025 Scale-Aware Contrastive Reverse Distillation for Unsupervised Medical Anomaly Detection ICLR 2025 CausalCLIPSeg: Unlocking CLIP’s Potential in Referring Medical Image Segmentation with Causal Intervention MICCAI 2024 Reducing Annotation Burden: Exploiting Image Knowledge for Few-Shot Medical Video Object Segmentation via Spatiotemporal Consistency Relearning MICCAI 2024 Rethinking Cell Counting Methods: Decoupling Counting and Localization MICCAI 2024 Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation MICCAI 2024 Ultrasound Image-to-Video Synthesis via Latent Dynamic Diffusion Models MICCAI 2024 Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation ICCV 2023 Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition ECCV 2020 A Relation-Augmented Fully Convolutional Network for Semantic Segmentation in Aerial Scenes CVPR 2019