Yabiao Wang
55 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
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Keyword Pioneer
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(41)
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Keyword Collector
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Century Club
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Conferences
CVPR (17)
AAAI (15)
ECCV (7)
ICCV (7)
IJCAI (5)
NIPS (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
semantic segmentation
(7)
diffusion model
(6)
anomaly detection
(6)
image generation
(5)
knowledge distillation
(4)
object detection
(4)
few-shot learning
(4)
attention mechanism
(4)
action recognition
(4)
crowd counting
(3)
anomaly localization
(3)
semi-supervised learning
(3)
image restoration
(3)
representation learning
(3)
efficient computing
(3)
temporal modeling
(3)
convolutional neural network
(3)
weakly supervised learning
(2)
noisy label learning
(2)
video recognition
(2)
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