Bin-Bin Gao

Zhongyi Huang

Pattern Recognit., 2024

MMAD: The First-Ever Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Enhancing Multi-Class Anomaly Detection via Diffusion Refinement with Dual Conditioning.

[BibT_eX]

[DOI]

CoRR, 2024

SoftPatch: Unsupervised Anomaly Detection with Noisy Data.

[BibT_eX]

[DOI]

CoRR, 2024

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Real-IAD: A Real-World Multi-View Dataset for Benchmarking Versatile Industrial Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MatchDet: A Collaborative Framework for Image Matching and Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation.

[BibT_eX]

[DOI]

Neural Comput. Appl., July, 2023

How to Reduce Change Detection to Semantic Segmentation.

[BibT_eX]

[DOI]

Guo-Hua Wang

Chengjie Wang

Pattern Recognit., June, 2023

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes.

[BibT_eX]

[DOI]

CoRR, 2023

Clustered-patch Element Connection for Few-shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Global Meets Local: Effective Multi-Label Image Classification via Category-Aware Weak Supervision.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Continual Adaptation in Industrial Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HDNet: A Hierarchically Decoupled Network for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.

[BibT_eX]

[DOI]

CoRR, 2021

A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Label Image Recognition with Multi-Class Attentional Regions.

[BibT_eX]

[DOI]

CoRR, 2020

2018

Age Estimation Using Expectation of Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Deep Label Distribution Learning With Label Ambiguity.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

A Fast and Robust TSVM for Pattern Classification.

[BibT_eX]

[DOI]

Jian-Jun Wang

CoRR, 2017

Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Exploit Bounding Box Annotations for Multi-Label Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Representing Sets of Instances for Visual Recognition.

[BibT_eX]

[DOI]

Guoqing Liu

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Can Partial Strong Labels Boost Multi-label Object Recognition?

[BibT_eX]

[DOI]

CoRR, 2015

Visual Recognition Using Directional Distribution Distance.

[BibT_eX]

[DOI]

Guoqing Liu

CoRR, 2015

Deep Spatial Pyramid: The Devil is Once Again in the Details.

[BibT_eX]

[DOI]

CoRR, 2015

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Deep Label Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Deep Spatial Pyramid Ensemble for Cultural Event Recognition.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2012

L2-loss twin support vector machine for classification.

[BibT_eX]

[DOI]