Google
Google Scholar
Semantic Scholar
MS Academic
CiteSeerX
ORCIDHao Su 0001
Person information
- affiliation: University of California, San Diego, USA
- affiliation (former): Stanford University, USA
Other persons with the same name
- Hao Su — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2020
[j13]Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Deep Kernel Density Estimation for Photon Mapping. Comput. Graph. Forum 39(4): 35-45 (2020)- [c44]Uday Kusupati, Shuo Cheng, Rui Chen, Hao Su:
Normal Assisted Stereo Depth Estimation. CVPR 2020: 2186-2196 - [c43]Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness. CVPR 2020: 2521-2531 - [c42]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. CVPR 2020: 8856-8865 - [c41]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 2020: 11094-11104 - [c40]Minghua Liu, Xiaoshuai Zhang, Hao Su:
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. ECCV (8) 2020: 68-84 - [c39]Daniel Liu, Ronald Yu, Hao Su:
Adversarial Shape Perturbations on 3D Point Clouds. ECCV Workshops (1) 2020: 88-104 - [c38]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-Supervised 3D Shape Completion in the Wild. ECCV (5) 2020: 283-299 - [c37]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. ICLR 2020 - [c36]Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su:
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. ICLR 2020 - [c35]Zhiwei Jia, Hao Su:
Information-Theoretic Local Minima Characterization and Regularization. ICML 2020: 4773-4783 - [c34]Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Henrik I. Christensen, Hao Su:
Multi-task Batch Reinforcement Learning with Metric Learning. NeurIPS 2020 - [c33]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. NeurIPS 2020 - [c32]Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su:
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous GNNs. NeurIPS 2020 - [i47]Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang, Hao Su:
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories. CoRR abs/2002.06478 (2020) - [i46]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-based Interactive ENvironment. CoRR abs/2003.08515 (2020) - [i45]Shilin Zhu, Zexiang Xu, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Deep Photon Mapping. CoRR abs/2004.12069 (2020) - [i44]He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas:
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. CoRR abs/2006.07029 (2020) - [i43]Minghua Liu, Xiaoshuai Zhang, Hao Su:
Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance. CoRR abs/2007.09267 (2020) - [i42]Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, Zihao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun:
Weakly-supervised 3D Shape Completion in the Wild. CoRR abs/2008.09110 (2020) - [i41]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Photon-Driven Neural Path Guiding. CoRR abs/2010.01775 (2020) - [i40]Hao Tang, Zhiao Huang, Jiayuan Gu, Bao-Liang Lu, Hao Su:
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks. CoRR abs/2010.13547 (2020) - [i39]Tongzhou Mu, Jiayuan Gu, Zhiwei Jia, Hao Tang, Hao Su:
Refactoring Policy for Compositional Generalizability using Self-Supervised Object Proposals. CoRR abs/2011.00971 (2020) - [i38]Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su:
Rearrangement: A Challenge for Embodied AI. CoRR abs/2011.01975 (2020) - [i37]Songfang Han, Jiayuan Gu, Kaichun Mo, Li Yi, Siyu Hu, Xuejin Chen, Hao Su:
Compositionally Generalizable 3D Structure Prediction. CoRR abs/2012.02493 (2020)
2010 – 2019
- 2019
- [j12]Zexiang Xu, Sai Bi, Kalyan Sunkavalli, Sunil Hadap, Hao Su, Ravi Ramamoorthi:
Deep view synthesis from sparse photometric images. ACM Trans. Graph. 38(4): 76:1-76:13 (2019) - [j11]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructureNet: hierarchical graph networks for 3D shape generation. ACM Trans. Graph. 38(6): 242:1-242:19 (2019) - [c31]Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su:
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. CoRL 2019: 53-65 - [c30]Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su:
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. CVPR 2019: 909-918 - [c29]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CVPR 2019: 4923-4932 - [c28]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CVPR 2019: 11447-11456 - [c27]Cheng Fu, Shilin Zhu, Huili Chen, Farinaz Koushanfar, Hao Su, Jishen Zhao:
SimBNN: A Similarity-Aware Binarized Neural Network Acceleration Framework. FCCM 2019: 319 - [c26]Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. FPGA 2019: 306 - [c25]Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. ICCV 2019: 1538-1547 - [c24]Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-View PointNet for 3D Scene Understanding. ICCV Workshops 2019: 3995-4003 - [c23]Daniel Liu, Ronald Yu, Hao Su:
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. ICIP 2019: 2279-2283 - [c22]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. NeurIPS 2019: 1940-1950 - [i36]Daniel Liu, Ronald Yu, Hao Su:
Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. CoRR abs/1901.03006 (2019) - [i35]Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas:
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. CoRR abs/1901.03781 (2019) - [i34]Quan Vuong, Sharad Vikram, Hao Su, Sicun Gao, Henrik I. Christensen:
How to pick the domain randomization parameters for sim-to-real transfer of reinforcement learning policies? CoRR abs/1903.11774 (2019) - [i33]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructureNet: Hierarchical Graph Networks for 3D Shape Generation. CoRR abs/1908.00575 (2019) - [i32]Rui Chen, Songfang Han, Jing Xu, Hao Su:
Point-Based Multi-View Stereo Network. CoRR abs/1908.04422 (2019) - [i31]Zhiao Huang, Fangchen Liu, Hao Su:
Mapping State Space using Landmarks for Universal Goal Reaching. CoRR abs/1908.05451 (2019) - [i30]Daniel Liu, Ronald Yu, Hao Su:
Adversarial point perturbations on 3D objects. CoRR abs/1908.06062 (2019) - [i29]Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Hao Su, Henrik Iskov Christensen:
Pre-training as Batch Meta Reinforcement Learning with tiMe. CoRR abs/1909.11373 (2019) - [i28]Maximilian Jaritz, Jiayuan Gu, Hao Su:
Multi-view PointNet for 3D Scene Understanding. CoRR abs/1909.13603 (2019) - [i27]Yuzhe Qin, Rui Chen, Hao Zhu, Meng Song, Jing Xu, Hao Su:
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes. CoRR abs/1910.14218 (2019) - [i26]Fangchen Liu, Zhan Ling, Tongzhou Mu, Hao Su:
State Alignment-based Imitation Learning. CoRR abs/1911.10947 (2019) - [i25]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. CoRR abs/1911.11098 (2019) - [i24]Shuo Cheng, Zexiang Xu, Shilin Zhu, Zhuwen Li, Li Erran Li, Ravi Ramamoorthi, Hao Su:
Deep Stereo using Adaptive Thin Volume Representation with Uncertainty Awareness. CoRR abs/1911.12012 (2019) - 2018
- [j10]Jiahui Huang, Jun Gao, Vignesh Ganapathi-Subramanian, Hao Su, Yin Liu, Chengcheng Tang, Leonidas J. Guibas:
DeepPrimitive: Image decomposition by layered primitive detection. Comput. Vis. Media 4(4): 385-397 (2018) - [j9]Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas:
Deep part induction from articulated object pairs. ACM Trans. Graph. 37(6): 209:1-209:15 (2018) - [c21]Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection From RGB-D Data. CVPR 2018: 918-927 - [c20]Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas:
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. CVPR 2018: 5589-5597 - [c19]Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas:
Beyond Holistic Object Recognition: Enriching Image Understanding With Part States. CVPR 2018: 6955-6963 - [c18]Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas:
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions. NeurIPS 2018: 483-493 - [i23]Jingwei Huang, Hao Su, Leonidas J. Guibas:
Robust Watertight Manifold Surface Generation Method for ShapeNet Models. CoRR abs/1802.01698 (2018) - [i22]Minhyuk Sung, Hao Su, Ronald Yu, Leonidas J. Guibas:
Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions. CoRR abs/1805.09957 (2018) - [i21]Shilin Zhu, Xin Dong, Hao Su:
Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit? CoRR abs/1806.07550 (2018) - [i20]Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas J. Guibas:
Deep Part Induction from Articulated Object Pairs. CoRR abs/1809.07417 (2018) - [i19]Cheng Fu, Shilin Zhu, Hao Su, Ching-En Lee, Jishen Zhao:
Towards Fast and Energy-Efficient Binarized Neural Network Inference on FPGA. CoRR abs/1810.02068 (2018) - [i18]Bo Sun, Nian-Hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su:
Adversarial Defense by Stratified Convolutional Sparse Coding. CoRR abs/1812.00037 (2018) - [i17]Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su:
PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding. CoRR abs/1812.02713 (2018) - 2017
- [j8]Li Yi, Leonidas J. Guibas, Aaron Hertzmann
, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning hierarchical shape segmentation and labeling from online repositories. ACM Trans. Graph. 36(4): 70:1-70:12 (2017) - [j7]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
Complementme: weakly-supervised component suggestions for 3D modeling. ACM Trans. Graph. 36(6): 226:1-226:12 (2017) - [c17]Lin Shao, Angel X. Chang, Hao Su, Manolis Savva, Leonidas J. Guibas:
Cross-Modal Attribute Transfer for Rescaling 3D Models. 3DV 2017: 640-648 - [c16]Manolis Savva, Fisher Yu, Hao Su, Asako Kanezaki, Takahiko Furuya, Ryutarou Ohbuchi, Zhichao Zhou, Rui Yu, Song Bai, Xiang Bai, Masaki Aono, Atsushi Tatsuma, Spyridon Thermos, Apostolos Axenopoulos, Georgios Th. Papadopoulos, Petros Daras, Xiao Deng, Zhouhui Lian, Bo Li, Henry Johan, Yijuan Lu, Sanjeev Mk:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2017 - [c15]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CVPR 2017: 77-85 - [c14]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CVPR 2017: 1466-1474 - [c13]Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. CVPR 2017: 2463-2471 - [c12]Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas:
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CVPR 2017: 6584-6592 - [c11]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. NIPS 2017: 5099-5108 - [i16]Li Yi, Leonidas J. Guibas, Aaron Hertzmann, Vladimir G. Kim, Hao Su, Ersin Yumer:
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories. CoRR abs/1705.01661 (2017) - [i15]Charles Ruizhongtai Qi, Li Yi, Hao Su, Leonidas J. Guibas:
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space. CoRR abs/1706.02413 (2017) - [i14]Minhyuk Sung, Hao Su, Vladimir G. Kim, Siddhartha Chaudhuri, Leonidas J. Guibas:
ComplementMe: Weakly-Supervised Component Suggestions for 3D Modeling. CoRR abs/1708.01841 (2017) - [i13]Li Yi, Lin Shao, Manolis Savva, Haibin Huang, Yang Zhou, Qirui Wang, Benjamin Graham, Martin Engelcke, Roman Klokov, Victor S. Lempitsky, Yuan Gan, Pengyu Wang, Kun Liu, Fenggen Yu, Panpan Shui, Bingyang Hu, Yan Zhang, Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Minki Jeong, Jaehoon Choi, Changick Kim, Angom Geetchandra, Narasimha Murthy, Bhargava Ramu, Bharadwaj Manda, M. Ramanathan, Gautam Kumar, P. Preetham, Siddharth Srivastava, Swati Bhugra, Brejesh Lall, Christian Häne, Shubham Tulsiani, Jitendra Malik, Jared Lafer, Ramsey Jones, Siyuan Li, Jie Lu, Shi Jin, Jingyi Yu, Qixing Huang, Evangelos Kalogerakis, Silvio Savarese, Pat Hanrahan, Thomas A. Funkhouser, Hao Su, Leonidas J. Guibas:
Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55. CoRR abs/1710.06104 (2017) - [i12]Charles Ruizhongtai Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas:
Frustum PointNets for 3D Object Detection from RGB-D Data. CoRR abs/1711.08488 (2017) - 2016
- [j6]Tuanfeng Y. Wang, Hao Su, Qixing Huang, Jingwei Huang, Leonidas J. Guibas, Niloy J. Mitra:
Unsupervised texture transfer from images to model collections. ACM Trans. Graph. 35(6): 177:1-177:13 (2016) - [j5]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): 210:1-210:12 (2016) - [j4]Kai Xu, Yifei Shi, Lintao Zheng, Junyu Zhang, Min Liu, Hui Huang, Hao Su, Daniel Cohen-Or, Baoquan Chen:
3D attention-driven depth acquisition for object identification. ACM Trans. Graph. 35(6): 238:1-238:14 (2016) - [c10]Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Zhenhua Wang, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
Synthesizing Training Images for Boosting Human 3D Pose Estimation. 3DV 2016: 479-488 - [c9]Manolis Savva, Fisher Yu, Hao Su, Masaki Aono, Baoquan Chen, Daniel Cohen-Or, Weihong Deng, Hang Su, Song Bai, Xiang Bai, Noa Fish, Jiajie Han, Evangelos Kalogerakis, Erik G. Learned-Miller, Yangyan Li, Minghui Liao, Subhransu Maji, Atsushi Tatsuma, Yida Wang, Nanhai Zhang, Zhichao Zhou:
Large-Scale 3D Shape Retrieval from ShapeNet Core55. 3DOR@Eurographics 2016 - [c8]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-view CNNs for Object Classification on 3D Data. CVPR 2016: 5648-5656 - [c7]Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese:
ObjectNet3D: A Large Scale Database for 3D Object Recognition. ECCV (8) 2016: 160-176 - [c6]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. NIPS 2016: 307-315 - [i11]Wenzheng Chen, Huan Wang, Yangyan Li, Hao Su, Changhe Tu, Dani Lischinski, Daniel Cohen-Or, Baoquan Chen:
Synthesizing Training Images for Boosting Human 3D Pose Estimation. CoRR abs/1604.02703 (2016) - [i10]Charles Ruizhongtai Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, Leonidas J. Guibas:
Volumetric and Multi-View CNNs for Object Classification on 3D Data. CoRR abs/1604.03265 (2016) - [i9]Yangyan Li, Sören Pirk, Hao Su, Charles Ruizhongtai Qi, Leonidas J. Guibas:
FPNN: Field Probing Neural Networks for 3D Data. CoRR abs/1605.06240 (2016) - [i8]Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik:
Learning Shape Abstractions by Assembling Volumetric Primitives. CoRR abs/1612.00404 (2016) - [i7]Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas:
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. CoRR abs/1612.00593 (2016) - [i6]Haoqiang Fan, Hao Su, Leonidas J. Guibas:
A Point Set Generation Network for 3D Object Reconstruction from a Single Image. CoRR abs/1612.00603 (2016) - [i5]Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas:
SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. CoRR abs/1612.00606 (2016) - [i4]Cewu Lu, Hao Su, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas:
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States. CoRR abs/1612.07310 (2016) - 2015
- [j3]Yangyan Li, Hao Su, Charles Ruizhongtai Qi, Noa Fish, Daniel Cohen-Or, Leonidas J. Guibas:
Joint embeddings of shapes and images via CNN image purification. ACM Trans. Graph. 34(6): 234:1-234:12 (2015) - [c5]Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas:
3D-Assisted Feature Synthesis for Novel Views of an Object. ICCV 2015: 2677-2685 - [c4]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. ICCV 2015: 2686-2694 - [i3]Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas:
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. CoRR abs/1505.05641 (2015) - [i2]Angel X. Chang, Thomas A. Funkhouser, Leonidas J. Guibas, Pat Hanrahan, Qi-Xing Huang, Zimo Li, Silvio Savarese, Manolis Savva, Shuran Song, Hao Su, Jianxiong Xiao, Li Yi, Fisher Yu:
ShapeNet: An Information-Rich 3D Model Repository. CoRR abs/1512.03012 (2015) - 2014
- [j2]Hao Su, Qixing Huang, Niloy J. Mitra, Yangyan Li, Leonidas J. Guibas:
Estimating image depth using shape collections. ACM Trans. Graph. 33(4): 37:1-37:11 (2014) - [i1]Hao Su, Fan Wang, Li Yi, Leonidas J. Guibas:
3D-Assisted Image Feature Synthesis for Novel Views of an Object. CoRR abs/1412.0003 (2014) - 2013
- [j1]Qi-Xing Huang, Hao Su, Leonidas J. Guibas:
Fine-grained semi-supervised labeling of large shape collections. ACM Trans. Graph. 32(6): 190:1-190:10 (2013) - [c3]Chen Chen, Hao Su, Qi-Xing Huang, Lin Zhang, Leonidas J. Guibas:
Pathlet learning for compressing and planning trajectories. SIGSPATIAL/GIS 2013: 382-385
2000 – 2009
- 2009
- [c2]Min Sun, Hao Su, Silvio Savarese, Fei-Fei Li:
A multi-view probabilistic model for 3D object classes. CVPR 2009: 1247-1254 - [c1]Hao Su, Min Sun, Fei-Fei Li, Silvio Savarese:
Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. ICCV 2009: 213-220
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
Tweets on dblp homepage
Show tweets from 
on the dblp homepage.
Privacy notice: By enabling the option above, your browser will contact twitter.com and twimg.com to load tweets curated by our Twitter account. At the same time, Twitter will persistently store several cookies with your web browser. While we did signal Twitter to not track our users by setting the "dnt" flag, we do not have any control over how Twitter uses your data. So please proceed with care and consider checking the Twitter privacy policy.
last updated on 2021-01-14 01:56 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
the dblp computer science bibliography is funded by:
