Seuraa
Kyle Genova
Kyle Genova
Research Scientist, Google
Vahvistettu sähköpostiosoite verkkotunnuksessa princeton.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Learning shape templates with structured implicit functions
K Genova, F Cole, D Vlasic, A Sarna, WT Freeman, T Funkhouser
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
2102019
Unsupervised training for 3d morphable model regression
K Genova, F Cole, A Maschinot, A Sarna, D Vlasic, WT Freeman
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2062018
Local deep implicit functions for 3d shape
K Genova, F Cole, A Sud, A Sarna, T Funkhouser
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1942020
Text-based editing of talking-head video
O Fried, A Tewari, M Zollhöfer, A Finkelstein, E Shechtman, DB Goldman, ...
ACM Transactions on Graphics (TOG) 38 (4), 1-14, 2019
1512019
Cvxnet: Learnable convex decomposition
B Deng, K Genova, S Yazdani, S Bouaziz, G Hinton, A Tagliasacchi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1372020
Ibrnet: Learning multi-view image-based rendering
Q Wang, Z Wang, K Genova, PP Srinivasan, H Zhou, JT Barron, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1292021
Towards fairness in visual recognition: Effective strategies for bias mitigation
Z Wang, K Qinami, IC Karakozis, K Genova, P Nair, K Hata, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1232020
Deep Structured Implicit Functions.
K Genova, F Cole, A Sud, A Sarna, TA Funkhouser
312019
An experimental evaluation of the best-of-many Christofides’ algorithm for the traveling salesman problem
K Genova, DP Williamson
Algorithmica 78 (4), 1109-1130, 2017
222017
Multiresolution deep implicit functions for 3d shape representation
Z Chen, Y Zhang, K Genova, S Fanello, S Bouaziz, C Häne, R Du, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
132021
Learning shape templates with structured implicit functions. 2019 IEEE
K Genova, F Cole, D Vlasic, A Sarna, WT Freeman, TA Funkhouser
CVF International Conference on Computer Vision (ICCV) 1 (2), 3, 2019
112019
Differentiable surface rendering via non-differentiable sampling
F Cole, K Genova, A Sud, D Vlasic, Z Zhang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
92021
Learning to reconstruct 3D shapes by rendering many 3D views
FH Cole, K Genova
US Patent 10,403,031, 2019
92019
Learning where to look: Data-driven viewpoint set selection for 3d scenes
K Genova, M Savva, AX Chang, T Funkhouser
arXiv preprint arXiv:1704.02393, 2017
82017
Nesf: Neural semantic fields for generalizable semantic segmentation of 3d scenes
S Vora, N Radwan, K Greff, H Meyer, K Genova, MSM Sajjadi, E Pot, ...
arXiv preprint arXiv:2111.13260, 2021
32021
Learning 3D semantic segmentation with only 2D image supervision
K Genova, X Yin, A Kundu, C Pantofaru, F Cole, A Sud, B Brewington, ...
2021 International Conference on 3D Vision (3DV), 361-372, 2021
22021
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation
A Kundu, K Genova, X Yin, A Fathi, C Pantofaru, LJ Guibas, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
12022
Convex Representation of Objects Using Neural Network
B Deng, K Genova, S Yazdani, S Bouaziz, GE Hinton, A Tagliasacchi
US Patent App. 16/847,009, 2021
2021
3D Representations for Learning to Reconstruct and Segment Shapes
K Genova
Princeton University, 2021
2021
Learning to reconstruct 3D shapes by rendering many 3D views
FH Cole, K Genova
US Patent 10,510,180, 2019
2019
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Artikkelit 1–20