Следене
Hao Su
Hao Su
UCSD CSE
Потвърден имейл адрес: ucsd.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
ImageNet Large Scale Visual Recognition Challenge
O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ...
IJCV, 2014
376922014
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
113002017
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
77152017
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
39332015
Frustum pointnets for 3d object detection from rgb-d data
CR Qi, W Liu, C Wu, H Su, LJ Guibas
CVPR, 2018
21422018
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
18202017
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
16602016
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
1338*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
8862016
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
8472015
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
4712017
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
4442018
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
3312016
Crowdsourcing annotations for visual object detection
H Su, J Deng, L Fei-Fei
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
3162012
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
3092016
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
2992016
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
2882017
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
2492021
Point-based multi-view stereo network
R Chen, S Han, J Xu, H Su
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
2402019
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
2312020
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