Research Statement
Recent Publications
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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} }
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}, }
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} }
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} }
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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