Bin-Bin Gao

According to our database1, Bin-Bin Gao authored at least 33 papers between 2012 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt.
CoRR, 2024

2023
Jointly learning distribution and expectation in a unified framework for facial age and attractiveness estimation.
Neural Comput. Appl., July, 2023

How to Reduce Change Detection to Semantic Segmentation.
Pattern Recognit., June, 2023

APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Trans. Multim., 2023

MatchDet: A Collaborative Framework for Image Matching and Object Detection.
CoRR, 2023

Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes.
CoRR, 2023

Clustered-patch Element Connection for Few-shot Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

SpatialFormer: Semantic and Target Aware Attentions for Few-Shot Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards Continual Adaptation in Industrial Anomaly Detection.
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.
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.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

tSF: Transformer-Based Semantic Filter for Few-Shot Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Learning to Discover Multi-Class Attentional Regions for Multi-Label Image Recognition.
IEEE Trans. Image Process., 2021

SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.
CoRR, 2021

A Coarse-to-Fine Instance Segmentation Network with Learning Boundary Representation.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation.
CoRR, 2020

Multi-Label Image Recognition with Multi-Class Attentional Regions.
CoRR, 2020

2018
Age Estimation Using Expectation of Label Distribution Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Deep Label Distribution Learning With Label Ambiguity.
IEEE Trans. Image Process., 2017

A Fast and Robust TSVM for Pattern Classification.
CoRR, 2017

Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Exploit Bounding Box Annotations for Multi-Label Object Recognition.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Representing Sets of Instances for Visual Recognition.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Can Partial Strong Labels Boost Multi-label Object Recognition?
CoRR, 2015

Visual Recognition Using Directional Distribution Distance.
CoRR, 2015

Deep Spatial Pyramid: The Devil is Once Again in the Details.
CoRR, 2015

Coordinate Descent Fuzzy Twin Support Vector Machine for Classification.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Deep Label Distribution Learning for Apparent Age Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Deep Spatial Pyramid Ensemble for Cultural Event Recognition.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2012
L2-loss twin support vector machine for classification.
Proceedings of the 5th International Conference on BioMedical Engineering and Informatics, 2012


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