Hao Su

Recent Alum

Email: haosu at stanford dot edu
Website: http://ai.stanford.edu/~haosu/

Research Statement

  • Computer vision.
  • Shape Analysis.
  • Machine learning methods.
  • Large-scale optimization.

Recent Publications

Teaser Image
C.R. Qi, W. Liu, C. Wu, H. Su, L.J. Guibas, Frustum PointNets for 3D Object Detection From RGB-D Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
@article{qlwsg-fpf3obfrd-18,
  title={Frustum PointNets for 3D Object Detection from RGB-D Data},
  author={Charles Ruizhongtai Qi and Wei Liu and Chenxia Wu and Hao Su and Leonidas J. Guibas},
  journal={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2018}
}
Teaser Image
J. Huang, J. Gao, V. Ganapathi-Subramanian, H. Su, Y. Liu, C. Tang, and L. Guibas, DeepPrimitive: Image decomposition by layered primitive detection, Computational Visual Media 4(4): 385-397 (2018).
@article{hggsltg-didblpd-18,
author = {Huang, Jiahui and Gao, Jun and Ganapathi-Subramanian, Vignesh and Su, Hao and Liu, Yin and Tang, Chengcheng and Guibas, Leonidas},
year = {2018},
month = {12},
pages = {385-397},
title = {DeepPrimitive: Image decomposition by layered primitive detection},
volume = {4},
journal = {Computational Visual Media},
doi = {10.1007/s41095-018-0128-6}
}
Teaser Image
Minhyuk Sung, Hao Su, Ronald Yu, and Leonidas Guibas, Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions, NeurIPS 2018
@incollection{sung2018deepfunctionaldictionaries,
title = {Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions},
author = {Sung, Minhyuk and Su, Hao and Yu, Ronald and Guibas, Leonidas},
booktitle = {NeurIPS},
year = {2018}
}
Teaser Image
S. Tulsiani, H. Su, L.J. Guibas, A.A. Efros, J. Malik, Learning Shape Abstractions by Assembling Volumetric Primitives, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
@inProceedings{tsgem-lsabavp-17,
  title={Learning Shape Abstractions by Assembling Volumetric Primitives},
  author = {Shubham Tulsiani and Hao Su and Leonidas J. Guibas and Alexei A. Efros and Jitendra Malik},
  booktitle={IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2017}
}
Teaser Image
L. Shao, A.X. Chang, H. Su, M. Savva, and L. Guibas, Cross-Modal Attribute Transfer for Rescaling 3D Models, International Conference on 3D Vision (3DV), 2017.
@inproceedings{scssg-catfr3m-17, 
title={Cross-modal Attribute Transfer for Rescaling {3D} Models}, 
author={Shao, Lin and Chang, Angel X. and Su, Hao and Savva, Manolis and Guibas, Leonidas}, 
booktitle = {Proceedings of the International Conference on {3D} Vision ({3DV})}, year={2017} 
}
Teaser Image
Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, and Leonidas Guibas, ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling, SIGGRAPH Asia 2017.
@article{sung2017componentassembly, 
title={ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling},
author={Sung, Minhyuk and Su, Hao and Kim, Vladimir G. and Chaudhuri, Siddhartha and Guibas, Leonidas},
journal = {ACM Transactions on Graphics (TOG)},
publisher = {ACM},
year = {2017}
}
Teaser Image
Charles R. Qi, Li Yi, Hao Su, and Leonidas J. Guibas. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. Neural Information Processing Systems (NIPS) 2017.
@article{qysg-pdhflpsms-17,
  title={PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space},
  author={Qi, Charles R and Yi, Li and Su, Hao and Guibas, Leonidas J},
  journal={Neural Information Processing System (NIPS) 2017},
  year={2017}
}
Teaser Image
Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, Honolulu USA.
@article{qsmg-pdlps3dcs-17,
  title={PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation},
  author={Qi, Charles R and Su, Hao and Mo, Kaichun and Guibas, Leonidas J},
  journal={Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year={2017}
}
Teaser Image
T. Y. Wang, H. Su, Q. Huang, J. Huang, L. Guibas, N. Mitra, Unsupervised Texture Transfer from Images to Model Collections, ACM Transactions of Graphics (Proc. Siggraph Asia), 35(6), (2016).
@article{wshhjj-uttfitmc-16,
  title={Unsupervised texture transfer from images to model collections},
  author={Wang, Tuanfeng Y and Su, Hao and Huang, Qixing and Huang, Jingwei and Guibas, Leonidas and Mitra, Niloy J},
  journal={ACM Transactions on Graphics (TOG)},
  volume={35},
  number={6},
  pages={177},
  year={2016},
  publisher={ACM}
}
Teaser Image
Li Yi, Vladimir G. Kim, Duygu Ceylan, I-Chao Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas J. Guibas, A scalable active framework for region annotation in 3D shape collections. ACM Trans. Graph. 35(6): 210 (2016)
@article{yi2016scalable,
  title={A scalable active framework for region annotation in 3d shape collections},
  author={Yi, Li and Kim, Vladimir G and Ceylan, Duygu and Shen, I-Chao and Yan, Mengyan and Su, Hao and Lu, Cewu and Huang, Qixing and Sheffer, Alla and Guibas, Leonidas},
  journal={ACM Transactions on Graphics (ToG)},
  volume={35},
  number={6},
  pages={1--12},
  year={2016},
  publisher={ACM New York, NY, USA}
}
Teaser Image
M. Savva, F. Yu, Hao Su, M. Aono, B. Chen, D. Cohen-Or, W. Deng, H. Su, S. Bai, X. Bai, N. Fish, J. Han, E. Kalogerakis, E. G. Learned-Miller, Y. Li, M. Liao, S. Maji, A. Tatsuma, Y. Wang, N. Zhang, Z. Zhou, SHREC’16 Track: Large-Scale 3D Shape Retrieval from ShapeNet Core55, EuroGraphics SHREC2016 Workshop Report
@article{sysaccdsbbfhklllmtwzz-l3srfsc-16,
  title={SHREC’16 Track Large-Scale 3D Shape Retrieval from ShapeNet Core55},
  author={Savva, M and Yu, F and Su, Hao and Aono, M and Chen, B and Cohen-Or, D and Deng, W and Su, Hang and Bai, S and Bai, X and others}
}
Teaser Image
Y. Li, S. Pirk, H. Su, C. R. Qi, L. J. Guibas, FPNN: Field Probing Neural Networks for 3D Data, Neural Information Processing Systems (NIPS 2016)
@article{DBLP:journals/corr/LiPSQG16,
  author    = {Yangyan Li and
               S{"{o}}ren Pirk and
               Hao Su and
               Charles Ruizhongtai Qi and
               Leonidas J. Guibas},
  title     = {{FPNN:} Field Probing Neural Networks for 3D Data},
  journal   = {CoRR},
  volume    = {abs/1605.06240},
  year      = {2016},
  url       = {http://arxiv.org/abs/1605.06240},
  timestamp = {Wed, 01 Jun 2016 15:51:07 +0200},
  biburl    = {http://dblp.uni-trier.de/rec/bib/journals/corr/LiPSQG16},
  bibsource = {dblp computer science bibliography, http://dblp.org}
}
Teaser Image
Charles R. Qi, Hao Su, Matthias Niessner, Angela Dai, Mengyuan Yan, and Leonidas J. Guibas, Volumetric and Multi-View CNNs for Object Classification on 3D Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2016, Las Vegas USA.
@inproceedings{qsndyg-vmcoc3d-16,
  author = {Charles Ruizhongtai Qi and Hao Su and Matthias Nie{ss}ner and 
    Angela Dai and Mengyuan Yan and Leonidas Guibas},
  title = {Volumetric and Multi-View CNNs for Object Classification on 3D Data},
  booktitle = {Proc. Computer Vision and Pattern Recognition (CVPR), IEEE},
  year = {2016}
}
Teaser Image
Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher Bongsoo Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese: ObjectNet3D: A Large Scale Database for 3D Object Recognition. ECCV (8) 2016: 160-176
@inproceedings{xiang2016objectnet3d,
  title     = {ObjectNet3D: A Large Scale Database for 3D Object Recognition},
  author    = {Xiang, Yu and Kim, Wonhui and Chen, Wei and Ji, Jingwei and Choy, Christopher and Su, Hao and Mottaghi, Roozbeh and Guibas, Leonidas and Savarese, Silvio},
  booktitle = {European Conference Computer Vision (ECCV)},
  year      = {2016}
}
Teaser Image
SU, H., WANG, F., YI, L., AND GUIBAS, L. 2015. 3D-Assisted Image Feature Synthesis for Novel Views of an Object. In ICCV IEEE.
@inproceedings{swyg-3afsnvo-15,
  title={3D-Assisted Image Feature Synthesis for Novel Views of an Object},
  author={Su, Hao and Wang, Fan and Yi, Li and Guibas, Leonidas},
  booktitle={International Conference on Computer Vision (ICCV)},
  year={2015}
}
Teaser Image
H. Su, Q. Huang and N.J. Mitra,Y. Li and L. Guibas, Estimating image depth using shape collections, Transactions on Graphics (Special issue of SIGGRAPH 2014).
@article{shmlg_imageDepth_sig14,
AUTHOR = "Hao Su and Qixing Huang and Niloy J. Mitra and Yangyan Li and Leonidas Guibas",
TITLE = "Estimating Image Depth Using Shape Collections",
JOURNAL = "Transactions on Graphics (Special issue of SIGGRAPH 2014)",
YEAR = "2014", 
numpages = {11},  
}
Teaser Image
Hao Su, Charles R. Qi, Yangyan Li and Leonidas J. Guibas, Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views, The 15th International Conference on Computer Vision (ICCV), Santiago, Chile, November 2015.
@InProceedings{sqlg-rfc-15,
    Title={Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views},
    Author={Su, Hao and Qi, Charles R. and Li, Yangyan and Guibas, Leonidas J.},
    Booktitle={The IEEE International Conference on Computer Vision (ICCV)},
    month = {December},
    Year= {2015}
}
Teaser Image
Yangyan Li, Hao Su, Charles R. Qi, Noa Fish, Daniel Cohen-Or, and Leonidas J. Guibas, Joint Embeddings of Shapes and Images via CNN Image Purification, Transactions on Graphics (Special issue of SIGGRAPH Asia 2015).
@article{lsqfcg-jesicip-15,
    Author = {Li, Yangyan and Su, Hao and Qi, Charles Ruizhongtai and Fish, Noa
        and Cohen-Or, Daniel and Guibas, Leonidas J.},
    Title = {Joint Embeddings of Shapes and Images via CNN Image Purification},
    Journal = {ACM Trans. Graph.},
    Year = {2015}
}
Teaser Image
Kaichun Mo, Shilin Zhu, Angel Chang, Li Yi, Subarna Tripathi, Leonidas Guibas, and Hao Su, PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding, CVPR 2019
@article{mo2018partnet,
    title={PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level {3D} Object Understanding},
    author={Mo, Kaichun and Zhu, Shilin and Chang, Angel and Yi, Li and Tripathi, Subarna and Guibas, Leonidas and Su, Hao},
    booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2019}
}
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