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Angela Dai
Angela Dai
Technical University of Munich
在 cs.stanford.edu 的电子邮件经过验证 - 首页
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引用次数
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Scannet: Richly-annotated 3d reconstructions of indoor scenes
A Dai, AX Chang, M Savva, M Halber, T Funkhouser, M Nießner
Proceedings of the IEEE conference on computer vision and pattern …, 2017
17522017
Volumetric and multi-view cnns for object classification on 3d data
CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2016
14902016
Matterport3d: Learning from rgb-d data in indoor environments
A Chang, A Dai, T Funkhouser, M Halber, M Niessner, M Savva, S Song, ...
arXiv preprint arXiv:1709.06158, 2017
9652017
Bundlefusion: Real-time globally consistent 3d reconstruction using on-the-fly surface reintegration
A Dai, M Nießner, M Zollhöfer, S Izadi, C Theobalt
ACM Transactions on Graphics (ToG) 36 (4), 1, 2017
6792017
Shape completion using 3d-encoder-predictor cnns and shape synthesis
A Dai, C Ruizhongtai Qi, M Nießner
Proceedings of the IEEE conference on computer vision and pattern …, 2017
4742017
3d-sis: 3d semantic instance segmentation of rgb-d scans
J Hou, A Dai, M Nießner
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2772019
3dmv: Joint 3d-multi-view prediction for 3d semantic scene segmentation
A Dai, M Nießner
Proceedings of the European Conference on Computer Vision (ECCV), 452-468, 2018
2312018
Scancomplete: Large-scale scene completion and semantic segmentation for 3d scans
A Dai, D Ritchie, M Bokeloh, S Reed, J Sturm, M Nießner
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
2252018
Databaseassisted object retrieval for realtime 3d reconstruction
Y Li, A Dai, L Guibas, M Nießner
Computer graphics forum 34 (2), 435-446, 2015
1812015
Scan2cad: Learning cad model alignment in rgb-d scans
A Avetisyan, M Dahnert, A Dai, M Savva, AX Chang, M Nießner
Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2019
1412019
Shading-based refinement on volumetric signed distance functions
M Zollhöfer, A Dai, M Innmann, C Wu, M Stamminger, C Theobalt, ...
ACM Transactions on Graphics (TOG) 34 (4), 1-14, 2015
1232015
Learning to navigate the energy landscape
J Valentin, A Dai, M Nießner, P Kohli, P Torr, S Izadi, C Keskin
2016 Fourth International Conference on 3D Vision (3DV), 323-332, 2016
942016
Sg-nn: Sparse generative neural networks for self-supervised scene completion of rgb-d scans
A Dai, C Diller, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
732020
Scan2mesh: From unstructured range scans to 3d meshes
A Dai, M Nießner
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
682019
3Dlite: towards commodity 3D scanning for content creation.
J Huang, A Dai, LJ Guibas, M Nießner
ACM Trans. Graph. 36 (6), 203:1-203:14, 2017
652017
Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction.
M Nießner, A Dai, M Fisher
Eurographics (Short Papers), 13-16, 2014
632014
End-to-end cad model retrieval and 9dof alignment in 3d scans
A Avetisyan, A Dai, M Nießner
Proceedings of the IEEE/CVF International Conference on computer vision …, 2019
532019
Npms: Neural parametric models for 3d deformable shapes
P Palafox, A Božič, J Thies, M Nießner, A Dai
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
312021
Mask2cad: 3d shape prediction by learning to segment and retrieve
W Kuo, A Angelova, TY Lin, A Dai
European Conference on Computer Vision, 260-277, 2020
312020
Scenecad: Predicting object alignments and layouts in rgb-d scans
A Avetisyan, T Khanova, C Choy, D Dash, A Dai, M Nießner
European Conference on Computer Vision, 596-612, 2020
292020
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