Zan Gojcic

I am a senior research scientist at NVIDIA working on 3D deep learning in the group of Sanja Fidler. I have received my PhD from ETH Zurich in 2021 where I worked with Andreas Wieser and Konrad Schindler. During my PhD I have also visited the geometric computation group led by Leonidas Guibas at Stanford University. My research interests are focused around 3D deep learning, weakly supervised learning, and domain adaptation. Outside of research I enjoy travelling, playing soccer, cooking, and spending quality time with my friends.

Email: zan dot gojcic at gmail dot com



News

Publications

Adaptive Shells for Efficient Neural Radiance Field Rendering
Zian Wang*, Tianchang Shen*, Merlin Nimier-David*, Nicholas Sharp, Jun Gao, Alexander Keller, Sanja Fidler, Thomas Müller, Zan Gojcic
ACM Transaction on Graphics (SIGGRAPH Asia 2023)

Best paper award!
PDF / Project page / Supplementary



Flexible Isosurface Extraction for Gradient-Based Mesh Optimization
Tianchang Shen, Jacob Munkberg, Jon Hasselgren, Kangxue Yin, Zian Wang, Wenzheng Chen, Zan Gojcic, Sanja Fidler, Nicholas Sharp*, Jun Gao*
ACM Transaction on Graphics (SIGGRAPH 2023)

PDF / Project page



Neural LiDAR Fields for Novel View Synthesis
Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany
International Conference on Computer Vision (ICCV), 2023

PDF / Video / Project page



Towards Viewpoint Robustness in Bird’s Eye View Segmentation
Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, Jose Alvarez
International Conference on Computer Vision (ICCV), 2023

PDF / Project page



Neural Kernel Surface Reconstruction
Jiahui Huang, Zan Gojcic, Matan Atzmon, Or Litany, Sanja Fidler, Francis Williams
Computer Vision and Pattern Recognition (CVPR), 2023

Highlight Presentation
PDF / Code / Project page / Video



Neural Fields meet Explicit Geometric Representations for Inverse Rendering of Urban Scenes
Zian Wang, Tianchang Shen, Jun Gao, Shengyu Huang, Jacob Munkberg, Jon Hasselgren, Zan Gojcic, Wenzheng Chen, Sanja Fidler
Computer Vision and Pattern Recognition (CVPR), 2023

Combined with other NVIDIA technology, FEGR is one component of Neural Reconstruction Engine announced during GTC Sept 2022 Keynote.
PDF / Video / Project page



LION: Latent Point Diffusion Models for 3D Shape Generation
Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis
Neural Information Processing Systems (NeurIPS), 2022
PDF / Code / Project page



GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images
Jun Gao , Tianchang Shen , Zian Wang, Wenzheng Chen, Kangxue Yin , Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler
Neural Information Processing Systems (NeurIPS), 2022
PDF / Code / Project page



Dynamic 3D Scene Analysis by Point Cloud Accumulation
Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler
European Conference on Computer Vision (ECCV), 2022
PDF / Code / Project page



Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
PDF / Code



Neural Fields as Learnable Kernels for 3D Reconstruction
Francis Williams*, Zan Gojcic*, Sameh Khamis, Sanja Fidler, Or Litany
Computer Vision and Pattern Recognition (CVPR), 2022
PDF / Project page



Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic, Or Litany, Andreas Wieser, Leonidas Guibas, Tolga Birdal
Computer Vision and Pattern Recognition (CVPR), 2021
Oral Presentation
PDF / Code / Project page



PREDATOR: Registration of 3D Point Clouds with Low Overlap
Shengyu Huang*, Zan Gojcic*, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler
Computer Vision and Pattern Recognition (CVPR), 2021
Oral Presentation
PDF / Code / Project page



CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations
Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas Guibas
Neural Information Processing Systems (NeurIPS), 2020
Spotlight Presentation
PDF / Code / Project page




Learning Multiview 3D Point Cloud Registration
Zan Gojcic*, Caifa Zhou*, Jan D. Wegner, Leonidas Guibas, Tolga Birdal
Computer Vision and Pattern Recognition (CVPR), 2020
PDF / Code




The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
Computer Vision and Pattern Recognition (CVPR), 2019
PDF / Code


(*) Denotes equal contributions.