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Yabiao Wang

55 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

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+11 more ↓ 🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🤝 Dynamic Duo (41) 🧬 Topic Evolution 🏆 Keyword Champion (2) 📈 Trend Setter Prolific Year (5) 🗃️ Keyword Collector (237) The Questioner 💎 Century Club (52) 🔥 Unstoppable (7)

Conferences

CVPR (17) AAAI (15) ECCV (7) ICCV (7) IJCAI (5) NIPS (2) ACL (1) ICLR (1)

Papers

LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026 SwiftVideo: A Unified Framework for Few-Step Video Generation Through Trajectory-Distribution Alignment AAAI 2026 Disco-RAG: Discourse-Aware Retrieval-Augmented Generation ACL 2026 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning AAAI 2025 OSV: One Step is Enough for High-Quality Image to Video Generation CVPR 2025 UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer ICCV 2025 Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation CVPR 2025 MobileMamba: Lightweight Multi-Receptive Visual Mamba Network CVPR 2025 Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction CVPR 2025 TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation CVPR 2025 SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation ICLR 2025 Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection ECCV 2024 UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation IJCAI 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection NIPS 2024 Rethinking Reverse Distillation for Multi-Modal Anomaly Detection AAAI 2024 A Diffusion-Based Framework for Multi-Class Anomaly Detection AAAI 2024 AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model AAAI 2024 Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation AAAI 2024 Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes AAAI 2024 Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection ECCV 2024 FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis ECCV 2024 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Calibrated Teacher for Sparsely Annotated Object Detection AAAI 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 Multimodal Industrial Anomaly Detection via Hybrid Fusion CVPR 2023 Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution CVPR 2023 MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection CVPR 2023 Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption ICCV 2023 Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection ICCV 2023 Learning Global-aware Kernel for Image Harmonization ICCV 2023 RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation IJCAI 2023 Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection IJCAI 2023 Iterative Few-shot Semantic Segmentation from Image Label Text IJCAI 2022 Learning Distinctive Margin Toward Active Domain Adaptation CVPR 2022 Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation ECCV 2022 Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping ECCV 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022 LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization AAAI 2022 ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation CVPR 2022 To Choose or to Fuse? Scale Selection for Crowd Counting AAAI 2021 Learning Salient Boundary Feature for Anchor-free Temporal Action Localization CVPR 2021 Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework ICCV 2021 Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting ICCV 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021 Learning Comprehensive Motion Representation for Action Recognition AAAI 2021 SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking IJCAI 2021 Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers CVPR 2021 TEINet: Towards an Efficient Architecture for Video Recognition AAAI 2020 Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation CVPR 2020 Temporal Distinct Representation Learning for Action Recognition ECCV 2020 Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking ECCV 2020 Fast Learning of Temporal Action Proposal via Dense Boundary Generator AAAI 2020 DSFD: Dual Shot Face Detector CVPR 2019