Yabiao Wang

Orcid: 0000-0002-6592-8411

According to our database1, Yabiao Wang authored at least 75 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
DMAD: Dual Memory Bank for Real-World Anomaly Detection.
CoRR, 2024

Learning Unified Reference Representation for Unsupervised Multi-class Anomaly Detection.
CoRR, 2024

PointSeg: A Training-Free Paradigm for 3D Scene Segmentation via Foundation Models.
CoRR, 2024

Dual-path Frequency Discriminators for Few-shot Anomaly Detection.
CoRR, 2024

UniM-OV3D: Uni-Modality Open-Vocabulary 3D Scene Understanding with Fine-Grained Feature Representation.
CoRR, 2024

Self-supervised Feature Adaptation for 3D Industrial Anomaly Detection.
CoRR, 2024

Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

A Diffusion-Based Framework for Multi-Class Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
PatchMix Augmentation to Identify Causal Features in Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection.
CoRR, 2023

DiAD: A Diffusion-based Framework for Multi-class Anomaly Detection.
CoRR, 2023

Exploring Grounding Potential of VQA-oriented GPT-4V for Zero-shot Anomaly Detection.
CoRR, 2023

CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection.
CoRR, 2023

Toward High Quality Facial Representation Learning.
CoRR, 2023

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
CoRR, 2023

Dual Path Transformer with Partition Attention.
CoRR, 2023

Learning Global-aware Kernel for Image Harmonization.
CoRR, 2023

Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation.
CoRR, 2023

Iterative Few-shot Semantic Segmentation from Image Label Text.
CoRR, 2023

Self-supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes.
CoRR, 2023

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation.
CoRR, 2023

Rethinking Mobile Block for Efficient Neural Models.
CoRR, 2023

PVG: Progressive Vision Graph for Vision Recognition.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Stroke-based Neural Painting and Stylization with Dynamically Predicted Painting Region.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Toward High Quality Facial Representation Learning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

RFENet: Towards Reciprocal Feature Evolution for Glass Segmentation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Rethinking Mobile Block for Efficient Attention-based Models.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Global-aware Kernel for Image Harmonization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning with Noisy labels via Self-supervised Adversarial Noisy Masking.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning from Noisy Labels with Decoupled Meta Label Purifier.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Better "CMOS" Produces Clearer Images: Learning Space-Variant Blur Estimation for Blind Image Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multimodal Industrial Anomaly Detection via Hybrid Fusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Calibrated Teacher for Sparsely Annotated Object Detection.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Exploring Efficient Few-shot Adaptation for Vision Transformers.
Trans. Mach. Learn. Res., 2022

EATFormer: Improving Vision Transformer Inspired by Evolutionary Algorithm.
CoRR, 2022

FRIH: Fine-grained Region-aware Image Harmonization.
CoRR, 2022

Split-PU: Hardness-aware Training Strategy for Positive-Unlabeled Learning.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Iterative Few-shot Semantic Segmentation from Image Label Text.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Designing One Unified Framework for High-Fidelity Face Reenactment and Swapping.
Proceedings of the Computer Vision - ECCV 2022, 2022

Prototypical Contrast Adaptation for Domain Adaptive Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

STC: Spatio-Temporal Contrastive Learning for Video Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Learning Distinctive Margin toward Active Domain Adaptation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

LCTR: On Awakening the Local Continuity of Transformer for Weakly Supervised Object Localization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

ASFD: Automatic and Scalable Face Detector.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

LSTC: Boosting Atomic Action Detection with Long-Short-Term Context.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

NMS-Loss: Learning with Non-Maximum Suppression for Crowded Pedestrian Detection.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

SiamRCR: Reciprocal Classification and Regression for Visual Object Tracking.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Comprehensive Motion Representation for Action Recognition.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

To Choose or to Fuse? Scale Selection for Crowd Counting.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
ACFD: Asymmetric Cartoon Face Detector.
CoRR, 2020

ASFD: Automatic and Scalable Face Detector.
CoRR, 2020

Dense Scene Multiple Object Tracking with Box-Plane Matching.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Temporal Distinct Representation Learning for Action Recognition.
Proceedings of the Computer Vision - ECCV 2020, 2020

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

TEINet: Towards an Efficient Architecture for Video Recognition.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast Learning of Temporal Action Proposal via Dense Boundary Generator.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
DSFD: Dual Shot Face Detector.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2015
Multi-class assembly parts recognition using composite feature and random forest for robot programming by demonstration.
Proceedings of the 2015 IEEE International Conference on Robotics and Biomimetics, 2015

Probabilistic graph based spatial assembly relation inference for programming of assembly task by demonstration.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015


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