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ORCIDAngela Dai
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- affiliation: Stanford University
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2020 – today
- 2023
[i51]Ji Hou, Xiaoliang Dai, Zijian He, Angela Dai, Matthias Nießner:
Mask3D: Pre-training 2D Vision Transformers by Learning Masked 3D Priors. CoRR abs/2302.14746 (2023)- [i50]Jiapeng Tang, Yinyu Nie, Lev Markhasin, Angela Dai, Justus Thies, Matthias Nießner:
DiffuScene: Scene Graph Denoising Diffusion Probabilistic Model for Generative Indoor Scene Synthesis. CoRR abs/2303.14207 (2023) - [i49]Dávid Rozenberszki, Or Litany, Angela Dai:
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes. CoRR abs/2303.14541 (2023) - [i48]Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. CoRR abs/2303.17015 (2023) - [i47]Alexey Bokhovkin, Shubham Tulsiani, Angela Dai:
Mesh2Tex: Generating Mesh Textures from Image Queries. CoRR abs/2304.05868 (2023) - 2022
- [c38]Angela Dai, Jana Kosecka, Gin Hee Lee, Konrad Schindler:
Message from the Program Chairs: 3DV 2022. 3DV 2022: 1 - [c37]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CVPR 2022: 4012-4021 - [c36]Pablo R. Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai:
SPAMs: Structured Implicit Parametric Models. CVPR 2022: 12841-12850 - [c35]Christian Diller, Thomas A. Funkhouser, Angela Dai:
Forecasting Characteristic 3D Poses of Human Actions. CVPR 2022: 15893-15902 - [c34]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. ECCV (3) 2022: 72-88 - [c33]Dávid Rozenberszki, Or Litany, Angela Dai:
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. ECCV (33) 2022: 125-141 - [c32]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. ECCV (27) 2022: 425-443 - [c31]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. ECCV (32) 2022: 543-560 - [c30]Yuchen Rao, Yinyu Nie, Angela Dai:
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories. NeurIPS 2022 - [i46]Pablo R. Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai:
SPAMs: Structured Implicit Parametric Models. CoRR abs/2201.08141 (2022) - [i45]Alexey Bokhovkin, Angela Dai:
Neural Part Priors: Learning to Optimize Part-Based Object Completion in RGB-D Scans. CoRR abs/2203.09375 (2022) - [i44]Tim Beyer, Angela Dai:
Weakly-Supervised End-to-End CAD Retrieval to Scan Objects. CoRR abs/2203.12873 (2022) - [i43]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
Texturify: Generating Textures on 3D Shape Surfaces. CoRR abs/2204.02411 (2022) - [i42]Dávid Rozenberszki, Or Litany, Angela Dai:
Language-Grounded Indoor 3D Semantic Segmentation in the Wild. CoRR abs/2204.07761 (2022) - [i41]Yuchen Rao, Yinyu Nie, Angela Dai:
PatchComplete: Learning Multi-Resolution Patch Priors for 3D Shape Completion on Unseen Categories. CoRR abs/2206.04916 (2022) - [i40]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Learning 3D Scene Priors with 2D Supervision. CoRR abs/2211.14157 (2022) - [i39]Angela Dai, Matthias Nießner:
Neural Poisson: Indicator Functions for Neural Fields. CoRR abs/2211.14249 (2022) - [i38]Christian Diller, Thomas A. Funkhouser, Angela Dai:
Forecasting Actions and Characteristic 3D Poses. CoRR abs/2211.14309 (2022) - [i37]Shivangi Aneja, Justus Thies, Angela Dai, Matthias Nießner:
ClipFace: Text-guided Editing of Textured 3D Morphable Models. CoRR abs/2212.01406 (2022) - [i36]Can Gümeli, Angela Dai, Matthias Nießner:
ObjectMatch: Robust Registration using Canonical Object Correspondences. CoRR abs/2212.01985 (2022) - [i35]Yawar Siddiqui, Lorenzo Porzi, Samuel Rota Bulò, Norman Müller, Matthias Nießner, Angela Dai, Peter Kontschieder:
Panoptic Lifting for 3D Scene Understanding with Neural Fields. CoRR abs/2212.09802 (2022) - 2021
- [j5]Daniel Scharstein, Angela Dai, Daniel Kondermann, Torsten Sattler, Konrad Schindler:
Guest Editorial: Special Issue on Performance Evaluation in Computer Vision. Int. J. Comput. Vis. 129(7): 2029-2030 (2021) - [c29]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction. CVPR 2021: 1450-1459 - [c28]Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner:
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans. CVPR 2021: 1747-1756 - [c27]Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. CVPR 2021: 6071-6080 - [c26]Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai:
Towards Part-Based Understanding of RGB-D Scans. CVPR 2021: 7484-7494 - [c25]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? ICCV 2021: 5673-5682 - [c24]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. ICCV 2021: 12548-12557 - [c23]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. ICCV 2021: 12569-12579 - [c22]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. ICCV 2021: 12675-12685 - [c21]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. NeurIPS 2021: 1403-1414 - [c20]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. NeurIPS 2021: 8282-8293 - [i34]Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai:
RetrievalFuse: Neural 3D Scene Reconstruction with a Database. CoRR abs/2104.00024 (2021) - [i33]Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai:
NPMs: Neural Parametric Models for 3D Deformable Shapes. CoRR abs/2104.00702 (2021) - [i32]Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner:
Pri3D: Can 3D Priors Help 2D Representation Learning? CoRR abs/2104.11225 (2021) - [i31]Aljaz Bozic, Pablo R. Palafox, Justus Thies, Angela Dai, Matthias Nießner:
TransformerFusion: Monocular RGB Scene Reconstruction using Transformers. CoRR abs/2107.02191 (2021) - [i30]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. CoRR abs/2108.09368 (2021) - [i29]Manuel Dahnert, Ji Hou, Matthias Nießner, Angela Dai:
Panoptic 3D Scene Reconstruction From a Single RGB Image. CoRR abs/2111.02444 (2021) - [i28]Can Gümeli, Angela Dai, Matthias Nießner:
ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. CoRR abs/2112.01988 (2021) - [i27]Yujin Chen, Matthias Nießner, Angela Dai:
4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding. CoRR abs/2112.02990 (2021) - [i26]Yinyu Nie, Angela Dai, Xiaoguang Han, Matthias Nießner:
Pose2Room: Understanding 3D Scenes from Human Activities. CoRR abs/2112.03030 (2021) - 2020
- [c19]Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. CVPR 2020: 846-855 - [c18]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu
, Chiyu "Max" Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. CVPR 2020: 1556-1565 - [c17]Ji Hou, Angela Dai, Matthias Nießner:
RevealNet: Seeing Behind Objects in RGB-D Scans. CVPR 2020: 2095-2104 - [c16]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. ECCV (3) 2020: 260-277 - [c15]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. ECCV (22) 2020: 596-612 - [c14]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. NeurIPS 2020 - [i25]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu "Max" Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization from RGB-D Scans. CoRR abs/2003.08400 (2020) - [i24]Armen Avetisyan, Tatiana Khanova, Christopher B. Choy, Denver Dash, Angela Dai, Matthias Nießner:
SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans. CoRR abs/2003.12622 (2020) - [i23]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Angela Dai, Justus Thies, Matthias Nießner:
Neural Non-Rigid Tracking. CoRR abs/2006.13240 (2020) - [i22]Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner:
SPSG: Self-Supervised Photometric Scene Generation from RGB-D Scans. CoRR abs/2006.14660 (2020) - [i21]Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai:
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve. CoRR abs/2007.13034 (2020) - [i20]Christian Diller, Thomas A. Funkhouser, Angela Dai:
Forecasting Characteristic 3D Poses of Human Actions. CoRR abs/2011.15079 (2020) - [i19]Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner:
Neural Deformation Graphs for Globally-consistent Non-rigid Reconstruction. CoRR abs/2012.01451 (2020) - [i18]Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai:
Towards Part-Based Understanding of RGB-D Scans. CoRR abs/2012.02094 (2020) - [i17]Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner:
Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. CoRR abs/2012.08197 (2020)
2010 – 2019
- 2019
- [c13]Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. CVPR 2019: 2614-2623 - [c12]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CVPR 2019: 4421-4430 - [c11]Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. CVPR 2019: 5574-5583 - [c10]Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. ICCV 2019: 2551-2560 - [c9]Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. ICCV 2019: 8748-8757 - [i16]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIC: 3D Semantic Instance Completion for RGB-D Scans. CoRR abs/1904.12012 (2019) - [i15]Armen Avetisyan, Angela Dai, Matthias Nießner:
End-to-End CAD Model Retrieval and 9DoF Alignment in 3D Scans. CoRR abs/1906.04201 (2019) - [i14]Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. CoRR abs/1908.06989 (2019) - [i13]Angela Dai, Christian Diller, Matthias Nießner:
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. CoRR abs/1912.00036 (2019) - 2018
- [b1]Angela Dai:
Using generative deep learning to create high-quality models from 3D scans. Stanford University, USA, 2018 - [c8]Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CVPR 2018: 4578-4587 - [c7]Angela Dai, Matthias Nießner:
3DMV: Joint 3D-Multi-view Prediction for 3D Semantic Scene Segmentation. ECCV (10) 2018: 458-474 - [i12]Angela Dai, Matthias Nießner:
3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation. CoRR abs/1803.10409 (2018) - [i11]Angela Dai, Matthias Nießner:
Scan2Mesh: From Unstructured Range Scans to 3D Meshes. CoRR abs/1811.10464 (2018) - [i10]Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner:
Scan2CAD: Learning CAD Model Alignment in RGB-D Scans. CoRR abs/1811.11187 (2018) - [i9]Ji Hou, Angela Dai, Matthias Nießner:
3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans. CoRR abs/1812.07003 (2018) - 2017
- [j4]Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, Christian Theobalt:
BundleFusion: Real-Time Globally Consistent 3D Reconstruction Using On-the-Fly Surface Reintegration. ACM Trans. Graph. 36(3): 24:1-24:18 (2017) - [j3]Jingwei Huang, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
3Dlite: towards commodity 3D scanning for content creation. ACM Trans. Graph. 36(6): 203:1-203:14 (2017) - [c6]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. 3DV 2017: 667-676 - [c5]Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes. CVPR 2017: 2432-2443 - [c4]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis. CVPR 2017: 6545-6554 - [i8]Sharon Lin, Matthew Fisher, Angela Dai, Pat Hanrahan:
LayerBuilder: Layer Decomposition for Interactive Image and Video Color Editing. CoRR abs/1701.03754 (2017) - [i7]Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas A. Funkhouser, Matthias Nießner:
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes. CoRR abs/1702.04405 (2017) - [i6]Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang:
Matterport3D: Learning from RGB-D Data in Indoor Environments. CoRR abs/1709.06158 (2017) - [i5]Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jürgen Sturm, Matthias Nießner:
ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans. CoRR abs/1712.10215 (2017) - 2016
- [c3]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. 3DV 2016: 323-332 - [c2]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-view CNNs for Object Classification on 3D Data. CVPR 2016: 5648-5656 - [i4]Julien P. C. Valentin, Angela Dai, Matthias Nießner, Pushmeet Kohli, Philip H. S. Torr, Shahram Izadi, Cem Keskin:
Learning to Navigate the Energy Landscape. CoRR abs/1603.05772 (2016) - [i3]Angela Dai, Matthias Nießner, Michael Zollhöfer, Shahram Izadi, Christian Theobalt:
BundleFusion: Real-time Globally Consistent 3D Reconstruction using On-the-fly Surface Re-integration. CoRR abs/1604.01093 (2016) - [i2]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-View CNNs for Object Classification on 3D Data. CoRR abs/1604.03265 (2016) - [i1]Angela Dai, Charles Ruizhongtai Qi, Matthias Nießner:
Shape Completion using 3D-Encoder-Predictor CNNs and Shape Synthesis. CoRR abs/1612.00101 (2016) - 2015
- [j2]Yangyan Li, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Database-Assisted Object Retrieval for Real-Time 3D Reconstruction. Comput. Graph. Forum 34(2): 435-446 (2015) - [j1]Michael Zollhöfer, Angela Dai, Matthias Innmann, Chenglei Wu, Marc Stamminger, Christian Theobalt, Matthias Nießner:
Shading-based refinement on volumetric signed distance functions. ACM Trans. Graph. 34(4): 96:1-96:14 (2015) - 2014
- [c1]Matthias Nießner, Angela Dai, Matthew Fisher:
Combining Inertial Navigation and ICP for Real-time 3D Surface Reconstruction. Eurographics (Short Papers) 2014: 13-16
Coauthor Index
[i51] [i50] [i48] [c37] [c34] [c32] [c31] [i43] [i40] [i39] [i37] [i36] [i35] [c29] [c28] [c27] [c25] [c24] [c22] [c21] [c20] [i34] [i33] [i32] [i31] [i29] [i28] [i27] [i26] [c19] [c18] [c17] [c15] [c14] [i25] [i24] [i23] [i22] [i19] [i17] [c13] [c12] [c11] [c10] [c9] [i16] [i15] [i14] [i13] [c8] [c7] [i12] [i11] [i10] [i9] [j4] [j3] [c6] [c5] [c4] [i7] [i6] [i5] [c3] [c2] [i4] [i3] [i2] [i1] [j2] [j1] [c1]
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