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Zan Gojcic
Zan Gojcic
Senior Research Scientist, NVIDIA
Zweryfikowany adres z ethz.ch - Strona główna
Tytuł
Cytowane przez
Cytowane przez
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PREDATOR: Registration of 3D Point Clouds with Low Overlap
S Huang, Z Gojcic, M Usvyatsov, A Wieser, K Schindler
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2020
5602020
The perfect match: 3d point cloud matching with smoothed densities
Z Gojcic, C Zhou, JD Wegner, A Wieser
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019), 5545 …, 2019
5432019
LION: Latent Point Diffusion Models for 3D Shape Generation
X Zeng, A Vahdat, F Williams, Z Gojcic, O Litany, S Fidler, K Kreis
Neural Information Processing Systems (NeurIPS), 2022
427*2022
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
J Gao, T Shen, Z Wang, W Chen, K Yin, D Li, O Litany, Z Gojcic, S Fidler
Neural Information Processing Systems (NeurIPS), 2022
4242022
Learning multiview 3D point cloud registration
Z Gojcic, C Zhou, JD Wegner, LJ Guibas, T Birdal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020), 2020
2112020
Weakly Supervised Learning of Rigid 3D Scene Flow
Z Gojcic, O Litany, A Wieser, LJ Guibas, T Birdal
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021), 2021
1102021
CaSPR: Learning canonical spatiotemporal point cloud representations
D Rempe, T Birdal, Y Zhao, Z Gojcic, S Sridhar, LJ Guibas
Neural Information Processing Systems (NeurIPS 2020), 2020
762020
Flexible Isosurface Extraction for Gradient-Based Mesh Optimization.
T Shen, J Munkberg, J Hasselgren, K Yin, Z Wang, W Chen, Z Gojcic, ...
ACM Trans. Graph. 42 (4), 37:1-37:16, 2023
732023
Neural Fields meet Explicit Geometric Representation for Inverse Rendering of Urban Scenes
Z Wang, T Shen, J Gao, S Huang, J Munkberg, J Hasselgren, Z Gojcic, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023
682023
Neural fields as learnable kernels for 3d reconstruction
F Williams, Z Gojcic, S Khamis, D Zorin, J Bruna, S Fidler, O Litany
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
652022
Neural Kernel Surface Reconstruction
J Huang, Z Gojcic, M Atzmon, O Litany, S Fidler, F Williams
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 4369-4379, 2023
572023
Adaptive Shells for Efficient Neural Radiance Field Rendering
Z Wang, T Shen, M Nimier-David, N Sharp, J Gao, A Keller, S Fidler, ...
ACM Transactions on Graphics (SIGGRAPH Asia) 42 (6), 2023
482023
Dynamic 3D Scene Analysis by Point Cloud Accumulation
S Huang, Z Gojcic, J Huang, A Wieser, K Schindler
European Conference on Computer Vision (ECCV), 2022
482022
Neural LiDAR Fields for Novel View Synthesis
S Huang, Z Gojcic, Z Wang, F Williams, Y Kasten, S Fidler, K Schindler, ...
IEEE International Conference on Computer Vision (ICCV), 2023, 2023
442023
Multiway non-rigid point cloud registration via learned functional map synchronization
J Huang, T Birdal, Z Gojcic, LJ Guibas, SM Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 2038-2053, 2022
392022
Dense 3D displacement vector fields for point cloud-based landslide monitoring
Z Gojcic, L Schmid, A Wieser
Landslides 18, 3821-3832, 2021
392021
F2S3: Robustified determination of 3D displacement vector fields using deep learning
Z Gojcic, C Zhou, A Wieser
Journal of Applied Geodesy 14 (2), 177-189, 2020
252020
Learned compact local feature descriptor for TLS-based geodetic monitoring of natural outdoor scenes
Z Gojcic, C Zhou, A Wieser
International Annals of the Photogrammetry, Remote Sensing and Spatial …, 2018
222018
Or Litany, Sanja Fidler, and Karsten Kreis
X Zeng, A Vahdat, F Williams, Z Gojcic
Lion: Latent point diffusion models for 3d shape generation 4, 2022
202022
The potential of point clouds for the analysis of rock kinematics in large slope instabilities: examples from the Swiss Alps: Brinzauls, Pizzo Cengalo and Spitze Stei
R Kenner, V Gischig, Z Gojcic, Y Quéau, C Kienholz, D Figi, R Thöny, ...
Landslides 19 (6), 1357-1377, 2022
152022
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