Xincheng Yao

8 papers · 2023–2026 · 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

Jump to papers ↓

🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12)

Venues

CVPR (2) ICCV (2) AAAI (1) ECCV (1) MICCAI (1) NeurIPS (1)

Top co-authors

Chongyang Zhang (7) Zefeng Qian (4) Ruoqi Li (4) Jun Sun (2) Haipeng Zhou (1) Hong Sun (1) Jian Yang (1) Yan Luo (1) Yifei Huang (1) Zhenyu Liu (1)

Research topics

Computer Vision (6) Analysis (6) Machine Learning (4) Learning Types · Machine Learning (4) Artificial Intelligence (2) Deep Learning (2) Architectures (2) Core AI (2) Application Areas (1) Learning Types · Deep Learning (1)

Keywords

anomaly detection (4) reinforcement learning (1) feature learning (1) prototype learning (1) self-supervised learning (1) multimodal learning (1) supervised learning (1) video understanding (1) image anomaly detection (1) correlation learning (1) decision boundary (1) out-of-distribution detection (1) multimodal large language model (1) masked autoencoder (1) visual anomaly detection (1) spatio-temporal feature (1) few-shot action recognition (1) multimodal matching (1) large language model (1) anomaly localization (1)

Papers

MMR-AD: A Large-Scale Multimodal Dataset for Benchmarking General Anomaly Detection with Multimodal Large Language Models CVPR 2026 Beyond Label Semantics: Language-Guided Action Anatomy for Few-shot Action Recognition ICCV 2025 HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors MICCAI 2025 Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection ECCV 2024 ResAD: A Simple Framework for Class Generalizable Anomaly Detection NeurIPS 2024 Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection CVPR 2023 Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection ICCV 2023 One-for-All: Proposal Masked Cross-Class Anomaly Detection AAAI 2023