Yabiao Wang

38

Papers

193

Total Citations

Papers (38)

A Diffusion-Based Framework for Multi-Class Anomaly Detection

FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

PointRWKV: Efficient RWKV-Like Model for Hierarchical Point Cloud Learning

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection

OSV: One Step is Enough for High-Quality Image to Video Generation

FRIH: Fine-Grained Region-Aware Image Harmonization

UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer

TIMotion: Temporal and Interactive Framework for Efficient Human-Human Motion Generation

SaRA: High-Efficient Diffusion Model Fine-tuning with Progressive Sparse Low-Rank Adaptation

Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-High Resolution Segmentation

Learning Distinctive Margin Toward Active Domain Adaptation

Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking

Learning From Noisy Labels With Decoupled Meta Label Purifier

Multimodal Industrial Anomaly Detection via Hybrid Fusion

Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution

MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework

Uniformity in Heterogeneity: Diving Deep Into Count Interval Partition for Crowd Counting

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption

Rethinking Mobile Block for Efficient Attention-based Models

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection

Learning Global-aware Kernel for Image Harmonization

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Temporal Distinct Representation Learning for Action Recognition

Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers

Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation

Towards Universal Dataset Distillation via Task-Driven Diffusion

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction

MobileMamba: Lightweight Multi-Receptive Visual Mamba Network

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

DSFD: Dual Shot Face Detector

Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model