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2020 – today
- 2023
[j1]Jiahui Huang
, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2038-2053 (2023)- 2022
- [c7]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CVPR 2022: 18479-18489 - [c6]Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler:
Dynamic 3D Scene Analysis by Point Cloud Accumulation. ECCV (38) 2022: 674-690 - [i10]Shengyu Huang, Zan Gojcic, Jiahui Huang, Andreas Wieser, Konrad Schindler:
Dynamic 3D Scene Analysis by Point Cloud Accumulation. CoRR abs/2207.12394 (2022) - [i9]Jun Gao, Tianchang Shen, Zian Wang, Wenzheng Chen, Kangxue Yin, Daiqing Li, Or Litany, Zan Gojcic, Sanja Fidler:
GET3D: A Generative Model of High Quality 3D Textured Shapes Learned from Images. CoRR abs/2209.11163 (2022) - [i8]Xiaohui Zeng, Arash Vahdat, Francis Williams, Zan Gojcic, Or Litany, Sanja Fidler, Karsten Kreis:
LION: Latent Point Diffusion Models for 3D Shape Generation. CoRR abs/2210.06978 (2022) - 2021
- [b1]Zan Gojcic:
Benefiting from local rigidity in 3D point cloud processing. ETH Zurich, Zürich, Switzerland, 2021 - [c5]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
Predator: Registration of 3D Point Clouds With Low Overlap. CVPR 2021: 4267-4276 - [c4]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CVPR 2021: 5692-5703 - [i7]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR abs/2102.08945 (2021) - [i6]Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu:
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization. CoRR abs/2111.12878 (2021) - [i5]Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany:
Neural Fields as Learnable Kernels for 3D Reconstruction. CoRR abs/2111.13674 (2021) - 2020
- [c3]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning Multiview 3D Point Cloud Registration. CVPR 2020: 1756-1766 - [c2]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS 2020 - [i4]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning multiview 3D point cloud registration. CoRR abs/2001.05119 (2020) - [i3]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. CoRR abs/2008.02792 (2020) - [i2]Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler:
PREDATOR: Registration of 3D Point Clouds with Low Overlap. CoRR abs/2011.13005 (2020)
2010 – 2019
- 2019
- [c1]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser:
The Perfect Match: 3D Point Cloud Matching With Smoothed Densities. CVPR 2019: 5545-5554 - 2018
- [i1]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser:
The Perfect Match: 3D Point Cloud Matching with Smoothed Densities. CoRR abs/1811.06879 (2018)
Coauthor Index
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