Shuda Li

Orcid: 0000-0003-4216-8074

According to our database1, Shuda Li authored at least 14 papers between 2008 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DualRC: A Dual-Resolution Learning Framework With Neighbourhood Consensus for Visual Correspondences.
IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
X Resolution Correspondence Networks.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
XResolution Correspondence Networks.
CoRR, 2020

FlowNet3D++: Geometric Losses For Deep Scene Flow Estimation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Dual-Resolution Correspondence Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Correspondence Networks With Adaptive Neighbourhood Consensus.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
RelocNet: Continuous Metric Learning Relocalisation Using Neural Nets.
Proceedings of the Computer Vision - ECCV 2018, 2018

Thinking Outside the Box: Generation of Unconstrained 3D Room Layouts.
Proceedings of the Computer Vision - ACCV 2018, 2018

2016
Absolute pose estimation using multiple forms of correspondences from RGB-D frames.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

HDRFusion: HDR SLAM Using a Low-Cost Auto-Exposure RGB-D Sensor.
Proceedings of the Fourth International Conference on 3D Vision, 2016

2015
RGBD relocalisation using pairwise geometry and concise key point sets.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2008
Recovering Light Directions and Camera Poses from a Single Sphere.
Proceedings of the Computer Vision, 2008

Using Illumination Estimated from Silhouettes to Carve Surface Details on Visual Hull.
Proceedings of the British Machine Vision Conference 2008, Leeds, UK, September 2008, 2008


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