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Zan Gojcic
Zan Gojcic
Senior Research Scientist, NVIDIA
Verified email at ethz.ch - Homepage
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Cited by
Cited by
Year
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
4282019
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
3422020
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
2362022
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
1972022
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
1662020
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
882021
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
692020
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
422022
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
302022
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
252023
Dense 3D displacement vector fields for point cloud-based landslide monitoring
Z Gojcic, L Schmid, A Wieser
Landslides 18, 3821-3832, 2021
252021
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
242022
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
232020
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
202018
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
142023
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
142022
Robust pointwise correspondences for point cloud based deformation monitoring of natural scenes
Z Gojcic, C Zhou, A Wieser
4th Joint international symposium on deformation monitoring (JISDM) 5, 2019
122019
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
112023
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
82022
Synchronization routine for real-time synchronization of robotic total stations
Z Gojcic, S Kalenjuk, W Lienhart
INGEO 2017 7th International Conference on Engineering Surveying, Lisbon …, 2017
82017
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