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Kyle Genova
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2020 – today
- 2023
- [c14]Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CVPR 2023: 815-824 - [c13]Xiaoshuai Zhang, Abhijit Kundu
, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR 2023: 8274-8284 - [i19]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. CoRR abs/2302.04862 (2023) - [i18]Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova:
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR abs/2303.03361 (2023) - [i17]Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas:
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR abs/2307.07511 (2023) - [i16]Yushi Lan, Feitong Tan, Di Qiu, Qiangeng Xu, Kyle Genova, Zeng Huang, Sean Fanello, Rohit Pandey, Thomas A. Funkhouser, Chen Change Loy, Yinda Zhang:
Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing. CoRR abs/2312.03763 (2023) - 2022
- [j3]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. Trans. Mach. Learn. Res. 2022 (2022) - [c12]Abhijit Kundu
, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CVPR 2022: 12861-12871 - [c11]Guandao Yang, Sagie Benaim, Varun Jampani, Kyle Genova, Jonathan T. Barron, Thomas A. Funkhouser, Bharath Hariharan, Serge J. Belongie:
Polynomial Neural Fields for Subband Decomposition and Manipulation. NeurIPS 2022 - [i15]Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser:
Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. CoRR abs/2205.04334 (2022) - [i14]Songyou Peng, Kyle Genova, Chiyu Max Jiang, Andrea Tagliasacchi, Marc Pollefeys
, Thomas A. Funkhouser:
OpenScene: 3D Scene Understanding with Open Vocabularies. CoRR abs/2211.15654 (2022) - 2021
- [b1]Kyle Genova:
3D Representations for Learning to Reconstruct and Segment Shapes. Princeton University, USA, 2021 - [c10]Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas A. Funkhouser:
Learning 3D Semantic Segmentation with only 2D Image Supervision. 3DV 2021: 361-372 - [c9]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CVPR 2021: 4690-4699 - [c8]Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang:
Differentiable Surface Rendering via Non-Differentiable Sampling. ICCV 2021: 6068-6077 - [c7]Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang:
Multiresolution Deep Implicit Functions for 3D Shape Representation. ICCV 2021: 13067-13076 - [i13]Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou
, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser:
IBRNet: Learning Multi-View Image-Based Rendering. CoRR abs/2102.13090 (2021) - [i12]Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang:
Differentiable Surface Rendering via Non-Differentiable Sampling. CoRR abs/2108.04886 (2021) - [i11]Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang:
Multiresolution Deep Implicit Functions for 3D Shape Representation. CoRR abs/2109.05591 (2021) - [i10]Kyle Genova, Xiaoqi Yin, Abhijit Kundu, Caroline Pantofaru, Forrester Cole, Avneesh Sud, Brian Brewington, Brian Shucker, Thomas A. Funkhouser:
Learning 3D Semantic Segmentation with only 2D Image Supervision. CoRR abs/2110.11325 (2021) - [i9]Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth:
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. CoRR abs/2111.13260 (2021) - 2020
- [c6]Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNet: Learnable Convex Decomposition. CVPR 2020: 31-41 - [c5]Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser:
Local Deep Implicit Functions for 3D Shape. CVPR 2020: 4856-4865 - [c4]Zeyu Wang, Klint Qinami, Ioannis Christos Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CVPR 2020: 8916-8925
2010 – 2019
- 2019
- [j2]Ohad Fried
, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt
, Maneesh Agrawala
:
Text-based editing of talking-head video. ACM Trans. Graph. 38(4): 68:1-68:14 (2019) - [c3]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates With Structured Implicit Functions. ICCV 2019: 7153-7163 - [i8]Kyle Genova, Forrester Cole, Daniel Vlasic, Aaron Sarna, William T. Freeman, Thomas A. Funkhouser:
Learning Shape Templates with Structured Implicit Functions. CoRR abs/1904.06447 (2019) - [i7]Ohad Fried, Ayush Tewari, Michael Zollhöfer, Adam Finkelstein, Eli Shechtman, Dan B. Goldman, Kyle Genova, Zeyu Jin, Christian Theobalt, Maneesh Agrawala:
Text-based Editing of Talking-head Video. CoRR abs/1906.01524 (2019) - [i6]Boyang Deng, Kyle Genova, Soroosh Yazdani, Sofien Bouaziz, Geoffrey E. Hinton, Andrea Tagliasacchi:
CvxNets: Learnable Convex Decomposition. CoRR abs/1909.05736 (2019) - [i5]Zeyu Wang, Klint Qinami, Yannis Karakozis, Kyle Genova, Prem Nair, Kenji Hata, Olga Russakovsky:
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation. CoRR abs/1911.11834 (2019) - [i4]Kyle Genova, Forrester Cole, Avneesh Sud, Aaron Sarna, Thomas A. Funkhouser:
Deep Structured Implicit Functions. CoRR abs/1912.06126 (2019) - 2018
- [c2]Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. CVPR 2018: 8377-8386 - [i3]Kyle Genova, Forrester Cole, Aaron Maschinot, Aaron Sarna, Daniel Vlasic, William T. Freeman:
Unsupervised Training for 3D Morphable Model Regression. CoRR abs/1806.06098 (2018) - 2017
- [j1]Kyle Genova, David P. Williamson
:
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. Algorithmica 78(4): 1109-1130 (2017) - [i2]Kyle Genova, Manolis Savva, Angel X. Chang, Thomas A. Funkhouser:
Learning Where to Look: Data-Driven Viewpoint Set Selection for 3D Scenes. CoRR abs/1704.02393 (2017) - 2015
- [c1]Kyle Genova, David P. Williamson:
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. ESA 2015: 570-581 - [i1]Kyle Genova, David P. Williamson:
An Experimental Evaluation of the Best-of-Many Christofides' Algorithm for the Traveling Salesman Problem. CoRR abs/1506.07776 (2015)
Coauthor Index
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last updated on 2024-08-20 20:28 CEST by the dblp team
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