Shiwei Li

Orcid: 0000-0003-0712-0059

Affiliations:
  • Apple, Hong Kong
  • Everest Innovation Technology, Hong Kong
  • Hong Kong University of Science and Technology (PhD 2019)


According to our database1, Shiwei Li authored at least 25 papers between 2015 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Matrix3D: Large Photogrammetry Model All-in-One.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Critical Regularizations for Neural Surface Reconstruction in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2020
Joint Semantic Segmentation and Boundary Detection using Iterative Pyramid Contexts.
CoRR, 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

Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency.
Proceedings of the Computer Vision - ECCV 2020, 2020

Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts.
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

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
Self-Supervised Learning of Depth and Motion Under Photometric Inconsistency.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 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
MVSNet: Depth Inference for Unstructured Multi-view Stereo.
Proceedings of the Computer Vision - ECCV 2018, 2018

Reconstructing Thin Structures of Manifold Surfaces by Integrating Spatial Curves.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Relative Camera Refinement for Accurate Dense Reconstruction.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Efficient Multi-view Surface Refinement with Adaptive Resolution Control.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Joint Camera Clustering and Surface Segmentation for Large-Scale Multi-view Stereo.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Dual-Feature Warping-Based Motion Model Estimation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015


  Loading...