Xiankai Lu

Orcid: 0000-0002-9543-6960

According to our database¹, Xiankai Lu authored at least 53 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2024

SAFER-STUDENT for Safe Deep Semi-Supervised Learning With Unseen-Class Unlabeled Data.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., January, 2024

2023

Attentional prototype inference for few-shot segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Missingness-Pattern-Adaptive Learning With Incomplete Data.

[BibT_eX]

[DOI]

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

Coarse-to-Fine Video Instance Segmentation With Factorized Conditional Appearance Flows.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, May, 2023

Reformulating Graph Kernels for Self-Supervised Space-Time Correspondence Learning.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Unified 3D Segmenter As Prototypical Classifiers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Clip Fusion with Bi-level Optimization for Human Mesh Reconstruction from Monocular Videos.

[BibT_eX]

[DOI]

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

From Coarse to Fine: Knowledge Distillation for Remote Sensing Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

From Coarse to Fine: Learning Semantic Relations for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Video Instance Segmentation Using Graph Matching Transformer.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels.

[BibT_eX]

[DOI]

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

2022

Regularized Two Granularity Loss Function for Weakly Supervised Video Moment Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

CubeNet: X-shape connection for camouflaged object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Distilled Siamese Networks for Visual Tracking.

[BibT_eX]

[DOI]

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

Zero-Shot Video Object Segmentation With Co-Attention Siamese Networks.

[BibT_eX]

[DOI]

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

Segmenting Objects From Relational Visual Data.

[BibT_eX]

[DOI]

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

Deep Object Tracking With Shrinkage Loss.

[BibT_eX]

[DOI]

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

Learning disentangled representation for self-supervised video object segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2022

RONF: Reliable Outlier Synthesis under Noisy Feature Space for Out-of-Distribution Detection.

[BibT_eX]

[DOI]

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

Dpnet: end-to-end Aerial Image Segmentation Via Deformable Point Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data.

[BibT_eX]

[DOI]

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

2021

Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Adaptive Region Proposal With Channel Regularization for Robust Object Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Paying Attention to Video Object Pattern Understanding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Multi-level dictionary learning for fine-grained images categorization with attention model.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Attentional Prototype Inference for Few-Shot Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Hierarchical Embedding for Video Instance Segmentation.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Video Object Segmentation Using Global and Instance Embedding Learning.

[BibT_eX]

[DOI]

Wenbin Ge

Xiankai Lu

Jianbing Shen

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

2020

Learning Driving Models From Parallel End-to-End Driving Data Set.

[BibT_eX]

[DOI]

Proc. IEEE, 2020

Novel visual tracking approach via ant lion optimiser.

[BibT_eX]

[DOI]

IET Image Process., 2020

M2Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.

[BibT_eX]

[DOI]

CoRR, 2020

M<sup>2</sup> Net: Multi-modal Multi-channel Network for Overall Survival Time Prediction of Brain Tumor Patients.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Geospatial Object Detection with Single Shot Anchor-Free Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

Video Object Segmentation with Episodic Graph Memory Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Video Object Segmentation From Unlabeled Videos.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning channel-aware deep regression for object tracking.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Robust visual tracking based on spatial context pyramid.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2019

Deep feature tracking based on interactive multiple model.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Learning transform-aware attentive network for object tracking.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Adaptive convolutional layer selection based on historical retrospect for visual tracking.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

Global-Local Attention Network for Aerial Scene Classification.

[BibT_eX]

[DOI]

IEEE Access, 2019

AggregationNet: Identifying Multiple Changes Based on Convolutional Neural Network in Bitemporal Optical Remote Sensing Images.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

Zero-Shot Video Object Segmentation via Attentive Graph Neural Networks.

[BibT_eX]

[DOI]

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

Human-Aware Motion Deblurring.

[BibT_eX]

[DOI]

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

See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks.

[BibT_eX]

[DOI]

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

2018

Non-convex joint bilateral guided depth upsampling.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2018

Improving the Separability of Deep Features with Discriminative Convolution Filters for RSI Classification.

[BibT_eX]

[DOI]

ISPRS Int. J. Geo Inf., 2018

Learning Deconvolutional Network for Object Tracking.

[BibT_eX]

[DOI]

IEEE Access, 2018

Deep Regression Tracking with Shrinkage Loss.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

SIFT flow for abrupt motion tracking via adaptive samples selection with sparse representation.

[BibT_eX]

[DOI]

Neurocomputing, 2017

2015

Efficient image categorization with sparse Fisher vector.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

High Order Structure Descriptors for Scene Images.

[BibT_eX]

[DOI]

CoRR, 2014

Xiankai Lu

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