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Hao Su
Hao Su
UCSD CSE
Bestätigte E-Mail-Adresse bei ucsd.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
ImageNet Large Scale Visual Recognition Challenge
O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ...
IJCV, 2014
413652014
Pointnet: Deep learning on point sets for 3d classification and segmentation
CR Qi, H Su, K Mo, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
133812017
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
CR Qi, L Yi, H Su, LJ Guibas
Advances in neural information processing systems 30, 2017
93462017
Shapenet: An information-rich 3d model repository
AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ...
arXiv preprint arXiv:1512.03012, 2015
45802015
Frustum pointnets for 3d object detection from rgb-d data
CR Qi, W Liu, C Wu, H Su, LJ Guibas
CVPR, 2018
23652018
A point set generation network for 3d object reconstruction from a single image
H Fan, H Su, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
20582017
Volumetric and multi-view cnns for object classification on 3d data
H Su, CR Qi, M Nießner, A Dai, M Yan, LJ Guibas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
17732016
Object bank: A high-level image representation for scene classification & semantic feature sparsification
H Su, LJ Li, L Fei-Fei, EP Xing
Advances in neural information processing systems, 1378-1386, 2010
1357*2010
A scalable active framework for region annotation in 3d shape collections
L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ...
ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016
9992016
Render for cnn: Viewpoint estimation in images using cnns trained with rendered 3d model views
H Su, CR Qi, Y Li, LJ Guibas
Proceedings of the IEEE international conference on computer vision, 2686-2694, 2015
8812015
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
K Mo, S Zhu, AX Chang, L Yi, S Tripathi, LJ Guibas, H Su
CVPR 2019, 2018
5522018
Syncspeccnn: Synchronized spectral cnn for 3d shape segmentation
L Yi, H Su, X Guo, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5042017
Tensorf: Tensorial radiance fields
A Chen, Z Xu, A Geiger, J Yu, H Su
European Conference on Computer Vision, 333-350, 2022
4292022
Mvsnerf: Fast generalizable radiance field reconstruction from multi-view stereo
A Chen, Z Xu, F Zhao, X Zhang, F Xiang, J Yu, H Su
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
3872021
Fpnn: Field probing neural networks for 3d data
Y Li, S Pirk, H Su, CR Qi, LJ Guibas
Advances in neural information processing systems 29, 2016
3572016
Crowdsourcing annotations for visual object detection
H Su, J Deng, L Fei-Fei
Workshops at the twenty-sixth AAAI conference on artificial intelligence, 2012
3382012
Learning shape abstractions by assembling volumetric primitives
S Tulsiani, H Su, LJ Guibas, AA Efros, J Malik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
3312017
Objectnet3d: A large scale database for 3d object recognition
Y Xiang, W Kim, W Chen, J Ji, C Choy, H Su, R Mottaghi, L Guibas, ...
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
3222016
Synthesizing training images for boosting human 3d pose estimation
W Chen, H Wang, Y Li, H Su, Z Wang, C Tu, D Lischinski, D Cohen-Or, ...
2016 Fourth International Conference on 3D Vision (3DV), 479-488, 2016
3192016
Sapien: A simulated part-based interactive environment
F Xiang, Y Qin, K Mo, Y Xia, H Zhu, F Liu, M Liu, H Jiang, Y Yuan, H Wang, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
2902020
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