Chenjie Cao

Xinlin Ren

CoRR, 2024

2023

ZITS++: Image Inpainting by Improving the Incremental Transformer on Structural Priors.

[BibT_eX]

[DOI]

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

Pixel2Mesh++: 3D Mesh Generation and Refinement From Multi-View Images.

[BibT_eX]

[DOI]

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

Towards Stable and Faithful Inpainting.

[BibT_eX]

[DOI]

Yikai Wang

CoRR, 2023

A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking the Multi-view Stereo from the Perspective of Rendering-based Augmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Local Consensus Enhanced Siamese Network with Reciprocal Loss for Two-view Correspondence Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints.

[BibT_eX]

[DOI]

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

Rethinking Optical Flow from Geometric Matching Consistent Perspective.

[BibT_eX]

[DOI]

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

2022

MVSFormer: Multi-View Stereo by Learning Robust Image Features and Temperature-based Depth.

[BibT_eX]

[DOI]

Xinlin Ren

Trans. Mach. Learn. Res., 2022

Boundary-based Fuzzy-SVDD for one-class classification.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2022

MVSFormer: Multi-View Stereo with Pre-trained Vision Transformers and Temperature-based Depth.

[BibT_eX]

[DOI]

Xinlin Ren

CoRR, 2022

Wavelet Prior Attention Learning in Axial Inpainting Network.

[BibT_eX]

[DOI]

CoRR, 2022

High-Fidelity Portrait Editing Via Exploring Differentiable Guided Sketches from the Latent Space.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Learning Prior Feature and Attention Enhanced Image Inpainting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

The Image Local Autoregressive Transformer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes.

[BibT_eX]

[DOI]

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

2020

Entropy and Confidence-Based Undersampling Boosting Random Forests for Imbalanced Problems.

[BibT_eX]

[DOI]

Zhe Wang

Yujin Zhu

IEEE Trans. Neural Networks Learn. Syst., 2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition.

[BibT_eX]

[DOI]

CoRR, 2020

SiBert: Enhanced Chinese Pre-trained Language Model with Sentence Insertion.

[BibT_eX]

[DOI]

Jiahao Chen

Xiuyan Jiang

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Cascade interpolation learning with double subspaces and confidence disturbance for imbalanced problems.

[BibT_eX]

[DOI]

Zhe Wang

Neural Networks, 2019

A Fine-Grained Facial Expression Database for End-to-End Multi-Pose Facial Expression Recognition.

[BibT_eX]

[DOI]

CoRR, 2019

Comp-GAN: Compositional Generative Adversarial Network in Synthesizing and Recognizing Facial Expression.

[BibT_eX]

[DOI]

Proceedings of the 27th ACM International Conference on Multimedia, 2019

2018

Regularized fisher linear discriminant through two threshold variation strategies for imbalanced problems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

IMCStacking: Cost-sensitive stacking learning with feature inverse mapping for imbalanced problems.

[BibT_eX]

[DOI]