Shuzhe Wang

According to our database, Shuzhe Wang authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DUSt3R: Geometric 3D Vision Made Easy.

Shuzhe Wang, Vincent Leroy, Yohann Cabon, Boris Chidlovskii, Jérôme Revaud

CoRR, 2023

DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching.

Shuzhe Wang, Juho Kannala, Daniel Barath

CoRR, 2023

HSCNet++: Hierarchical Scene Coordinate Classification and Regression for Visual Localization with Transformer.

Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Yi Zhao, Giorgos Tolias, Juho Kannala

CoRR, 2023

Guiding Local Feature Matching with Surface Curvature.

Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath

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

2022

Incorporating NOE-Derived Distances in Conformer Generation of Cyclic Peptides with Distance Geometry.

Shuzhe Wang, Kajo Krummenacher, Gregory A. Landrum, Benjamin D. Sellers, Paola Di Lello, Sarah J. Robinson, Bryan Martin, Jeffrey K. Holden, Jeffrey Y. K. Tom, Anastasia C. Murthy, Nataliya Popovych, Sereina Riniker

J. Chem. Inf. Model., 2022

Visual Localization via Few-Shot Scene Region Classification.

Siyan Dong, Shuzhe Wang, Yixin Zhuang, Juho Kannala, Marc Pollefeys, Baoquan Chen

Proceedings of the International Conference on 3D Vision, 2022

2021

Continual Learning for Image-Based Camera Localization.

Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala

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

Digging Into Self-Supervised Learning of Feature Descriptors.

Iaroslav Melekhov, Zakaria Laskar, Xiaotian Li, Shuzhe Wang, Juho Kannala

Proceedings of the International Conference on 3D Vision, 2021

2020

Improving Conformer Generation for Small Rings and Macrocycles Based on Distance Geometry and Experimental Torsional-Angle Preferences.

Shuzhe Wang, Jagna Witek, Gregory A. Landrum, Sereina Riniker

J. Chem. Inf. Model., 2020

Combining Machine Learning and Molecular Dynamics to Predict P-Glycoprotein Substrates.

Carmen Esposito, Shuzhe Wang, Udo E. W. Lange, Frank Oellien, Sereina Riniker

J. Chem. Inf. Model., 2020

Use of molecular dynamics fingerprints (MDFPs) in SAMPL6 octanol-water log P blind challenge.

Shuzhe Wang, Sereina Riniker

J. Comput. Aided Mol. Des., 2020

Hierarchical Scene Coordinate Classification and Regression for Visual Localization.

Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala

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

2019

Rationalization of the Membrane Permeability Differences in a Series of Analogue Cyclic Decapeptides.

Jagna Witek, Shuzhe Wang, Benjamin Schroeder, Robin Lingwood, Andreas Dounas, Hans-Jörg Roth, Marianne Fouché, Markus Blatter, Oliver Lemke, Bettina G. Keller, Sereina Riniker

J. Chem. Inf. Model., 2019