Hao Su
Hao Su
Professor of Computer Science, UCSD
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
ImageNet Large Scale Visual Recognition Challenge
O Russakovsky, J Deng, H Su, J Krause, S Satheesh, S Ma, Z Huang, ...
IJCV, 2014
244652014
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
49262017
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
CR Qi, L Yi, H Su, LJ Guibas
arXiv preprint arXiv:1706.02413, 2017
30642017
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
20412015
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
1254*2010
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
11382016
Frustum pointnets for 3d object detection from rgb-d data
CR Qi, W Liu, C Wu, H Su, LJ Guibas
CVPR, 2018
10612018
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
9272017
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
6592015
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
4382016
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
3322017
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, 307-315, 2016
2442016
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
2292016
Crowdsourcing annotations for visual object detection
H Su, J Deng, L Fei-Fei
Workshops at the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2252012
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, ...
European conference on computer vision, 160-176, 2016
2232016
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories
H Su, M Sun, L Fei-Fei, S Savarese
2009 IEEE 12th International Conference on Computer Vision, 213-220, 2009
2062009
Objects as attributes for scene classification
H Su, LJ Li, Y Lim, L Fei-Fei
Trends and Topics in Computer Vision, 57-69, 2012
186*2012
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
1712018
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
1652017
Joint embeddings of shapes and images via cnn image purification
H Su, Y Li, CR Qi, N Fish, D Cohen-Or, LJ Guibas
ACM Transactions on Graphics (TOG) 34 (6), 234, 2015
1632015
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Articles 1–20