Fang Wan

Orcid: 0000-0002-8083-9257

Affiliations:

University of Chinese Academy of Sciences, Beijing, China (PhD 2019)

According to our database¹, Fang Wan authored at least 39 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Correspondence-Guided SfM-Free 3D Gaussian Splatting for NVS.

[BibT_eX]

[DOI]

CoRR, 2024

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

DynRefer: Delving into Region-level Multi-modality Tasks via Dynamic Resolution.

[BibT_eX]

[DOI]

CoRR, 2024

Controllable Dense Captioner with Multimodal Embedding Bridging.

[BibT_eX]

[DOI]

CoRR, 2024

ControlCap: Controllable Region-Level Captioning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Ray Denoising: Depth-Aware Hard Negative Sampling for Multi-view 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Multiple Instance Differentiation Learning for Active Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Generative Prompt Model for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AttentionShift: Iteratively Estimated Part-Based Attention Map for Pointly Supervised Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Part-Based Semantic Transform for Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Adversarial Prototype Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Domain Contrast for Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Discrepant multiple instance learning for weakly supervised object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Learning to Match Anchors for Visual Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Integral Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection.

[BibT_eX]

[DOI]

CoRR, 2022

End-to-End Weakly Supervised Object Detection with Sparse Proposal Evolution.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Weakly Supervised Learning of Instance Segmentation with Confidence Feedback.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021

TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Multiple Instance Active Learning for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Strengthen Learning Tolerance for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Nearest Neighbor Classifier Embedded Network for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Min-Entropy Latent Model for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

FreeAnchor: Learning to Match Anchors for Visual Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

C-MIDN: Coupled Multiple Instance Detection Network With Segmentation Guidance for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DANet: Divergent Activation for Weakly Supervised Object Localization.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Orthogonal Decomposition Network for Pixel-Wise Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Parametric Skeleton Generation via Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Utilizing the Instability in Weakly Supervised Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2017

Correlated Topic Vector for Scene Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

2016

Collective motion pattern inference via Locally Consistent Latent Dirichlet Allocation.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Weakly supervised object detection with correlation and part suppression.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Texture Complexity Based Redundant Regions Ranking for Object Proposal.

[BibT_eX]

[DOI]

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

2014

A cluster specific latent dirichlet allocation model for trajectory clustering in crowded videos.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Fang Wan

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