Zixin Luo

Orcid: 0000-0001-6946-2826

According to our database1, Zixin Luo authored at least 25 papers between 2018 and 2023.

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

Timeline

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Links

On csauthors.net:

Bibliography

2023
Vis-MVSNet: Visibility-Aware Multi-view Stereo Network.
Int. J. Comput. Vis., 2023

2022
Identifying patients with Crohn's disease at high risk of primary nonresponse to infliximab using a radiomic-clinical model.
Int. J. Intell. Syst., December, 2022

OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Deep Semantic Segmentation Feature-Based Radiomics for the Classification Tasks in Medical Image Analysis.
IEEE J. Biomed. Health Informatics, 2021

Learning to Match Features with Seeded Graph Matching Network.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Distributed Very Large Scale Bundle Adjustment by Global Camera Consensus.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Stereo Matchability in Disparity Regression Networks.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Stochastic Bundle Adjustment for Efficient and Scalable 3D Reconstruction.
Proceedings of the Computer Vision - ECCV 2020, 2020

KFNet: Learning Temporal Camera Relocalization Using Kalman Filtering.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

ASLFeat: Learning Local Features of Accurate Shape and Localization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Visibility-aware Multi-view Stereo Network.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Beyond Photometric Loss for Self-Supervised Ego-Motion Estimation.
Proceedings of the International Conference on Robotics and Automation, 2019

Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Two-View Correspondences and Geometry Using Order-Aware Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ContextDesc: Local Descriptor Augmentation With Cross-Modality Context.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Recurrent MVSNet for High-Resolution Multi-View Stereo Depth Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Learning and Matching Multi-View Descriptors for Registration of Point Clouds.
Proceedings of the Computer Vision - ECCV 2018, 2018

MVSNet: Depth Inference for Unstructured Multi-view Stereo.
Proceedings of the Computer Vision - ECCV 2018, 2018

GeoDesc: Learning Local Descriptors by Integrating Geometry Constraints.
Proceedings of the Computer Vision - ECCV 2018, 2018

Matchable Image Retrieval by Learning from Surface Reconstruction.
Proceedings of the Computer Vision - ACCV 2018, 2018


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