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Hao (Richard) Zhang
Hao Zhang 0002 – Richard Zhang 0002 – 张皓
Person information

- unicode name: 张皓
- affiliation: Simon Fraser University, Burnaby, Canada
Other persons with the same name
- Hao Zhang — disambiguation page
- Hao Zhang 0001 — Purdue University, West Lafayette, IN, USA
- Hao Zhang 0003 — University of California, EECS Department, Computer Science Division, Berkeley, CA, USA (and 1 more)
- Hao Zhang 0004
— Ocean University of China, Qingdao, China (and 1 more)
- Hao Zhang 0005 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Hao Zhang 0006 — Facebook, USA (and 1 more)
- Hao Zhang 0007 — Tongji University, School of Electronic and Information, Shanghai, China (and 1 more)
- Hao Zhang 0008
— Tongji University, Department of Control Science and Engineering, Shanghai, China (and 2 more)
- Hao Zhang 0009 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Hao Zhang 0010 — Google Research, New York, NY, USA (and 1 more)
- Hao Zhang 0011 — Colorado School of Mines, Department of Electrical Engineering and Computer Science, Human-Centered Robotics Laboratory, Golden, CO, USA (and 1 more)
- Hao Zhang 0012 — Polytechnic University, Brooklyn
- Hao Zhang 0013 — Colorado State University
- Hao Zhang 0014
— Chinese Academy of Sciences, Center For Earth Observations and Digital Earth, Beijing, China (and 1 more)
- Hao Zhang 0015 — Henan Agricultural University, College of Information and Management Science, Zhengzhou, China
- Hao Zhang 0016
— University of Science and Technology of China, Hefei, China
- Hao Zhang 0017
— Chinese Academy of Sciences, Shenyang Institute of Automation, Key Laboratory of Industrial Informatics / Graduate School of the Chinese Academy of Sciences
- Hao Helen Zhang
(aka: Hao Zhang 0018) — North Carolina State University (and 1 more)
- Hao Zhang 0019 — Avigilon (and 1 more)
- Hao Zhang 0020 — Keio University, Graduate School of Science and Technology, Tokyo, Japan
- Hao Zhang 0021 — Queen Mary University of London
- Hao Zhang 0022 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Pattern Recognition & Intelligent System Lab, Beijing, China
- Hao Zhang 0023
— Oracle (and 1 more)
- Hao Zhang 0024 — The University of Tokyo
- Hao Zhang 0025 — Carnegie Mellon University, Pittsburgh, PA, USA (and 1 more)
- Hao Zhang 0026
— Johns Hopkins University, Department of Biomedical Engineering, Baltimore, MD, USA (and 1 more)
- Hao Zhang 0027 — University of Manitoba, Winnipeg, Canada
- Hao Zhang 0028 — Chinese Academy of Sciences and Beijing Normal University, Institute of Remote Sensing Applications, State Key Laboratory of Remote Sensing Science, Beijing, China
- Hao Zhang 0029
— National University of Singapore, Department of Computer Science
- Hao Zhang 0030 — University of Florida
- Hao Zhang 0031 — Shanghai Jiao Tong University, Department of Electrical Engineering, Shanghai, China
- Hao Zhang 0032 — Central South University, Changsha, China
- Hao Zhang 0033
— Xi'an Jiaotong University, State Key Laboratory of Electrical Insulation and Power Equipment, China
- Hao Zhang 0034
— Changzhou Institute of Technology Research for Solid State Lighting, China (and 2 more)
- Hao Zhang 0035
— Huazhong University of Science and Technology, National Laboratory for Optoelectronics, Wuhan, China
- Hao Zhang 0036
— Nanjing University of Science and Technology, Ministerial Key Laboratory, JGMT, China
- Hao Zhang 0037
— Nanjing University of Aeronautics and Astronautics, College of Science, China (and 1 more)
- Hao Zhang 0038
— Nanjing University, China
- Hao Zhang 0039
— Beihang University, School of Instrumentation Science and Opto-electronics Engineering, Beijing, China
- Hao Zhang 0040
— Chinese Academy of Sciences, Technology and Engineering Center for Space Utilization, Beijing, China (and 2 more)
- Hao Zhang 0041
— University of Saskatchewan, Department of Electrical and Computer Engineering, SK, Canada
- Hao Zhang 0042
— Tsinghua University, Beijing, China
- Hao Zhang 0043
— Osaka University, Graduate School of Engineering, Department of Adaptive Machine Systems, Suita, Japan
- Hao Zhang 0044
— Beihang University, School of Aeronautics, Beijing, China
- Hao Zhang 0045 — Southeast University, School of Transportation, Jiangsu Key Laboratory of Urban ITS, Nanjing, China
- Hao Zhang 0046
— Henan Agricultural University, College of Mechanical and Electrical Engineering, Zhengzhou, China
- Hao Zhang 0047
— City University of Hong Kong, Department of Computer Science, Video Retrieval Group (VIREO), Hong Kong
- Hao Zhang 0048
— Artificial Intelligence Initiative, A*STAR, Singapore
- Hao Zhang 0049
— Nanyang Technological University, Interdisciplinary Graduate School, Singapore
- Hao Zhang 0050
— Weill Cornell Medicine, Department of Population Health Sciences, New York City, NY, USA (and 3 more)
- Hao Zhang 0051
— Tsinghua University, State Key Laboratory of Precision Measurement Technology and Instruments, Beijing, China (and 1 more)
- Hao Zhang 0052
— Wuhan University, LIEMARS, China
- Hao Zhang 0053
— Anhui University of Science and Technology, School of Mining and Safety Engineering, Huainan, China (and 1 more)
- Hao Zhang 0054
— University of Sydney, School of Civil Engineering, NSW, Australia (and 1 more)
- Hao Zhang 0055
— University of Oklahoma, Department of Aerospace and Mechanical Engineering, Norman, OK, USA
- Hao Zhang 0056
— Nanchang University, School of Information Engineering, China
- Hao Zhang 0057
— Harbin Institute of Technology, State key Laboratory of Robotics and Systems, China
- Hao Zhang 0058
— Shandong University of Science and Technology, College of Computer Science and Engineering, Qingdao, China
- Hao Zhang 0059
— Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China (and 1 more)
- Hao Zhang 0060
— Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Hao Zhang 0061
— Taiyuan University of Technology, College of Information and Computer, Taiyuan, China (and 1 more)
- Hao Zhang 0062 — University of Massachusetts, Department of Computer Science, Lowell, MA, USA
- Hao Zhang 0063 — Shanghai Jiao Tong University, Key Lab of Artificial Intelligence, Shanghai, China (and 1 more)
- Hao Zhang 0064
— Jilin University, College of Computer Science and Technology, Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Hao Zhang 0065 — Chongqing University, College of Computer Science, Key Laboratory of Dependable Service Computing in Cyber Physical Society, Chongqing, China
- Hao Zhang 0066 — Central China Normal University, National Engineering Research Center for E-Learning, Wuhan, China
- Hao Zhang 0067 — Zhengzhou Information Science and Technology Institute, Department of Signal and Information Processing, Zhengzhou, China
- Hao Zhang 0068 — Guangdong University of Technology, Key Laboratory of Computer Integrated Manufacturing System, Guangzhou, China
- Hao Zhang 0069 — Huazhong University of Science and Technology, Cluster and Grid Computing Lab, Wuhan, China
- Hao Zhang 0070 — State Grid Jibei Electric Power Company Limited, Dispatching and Control Center, Beijing, China
- Hao Zhang 0071 — Dorabot Inc., Shenzhen, China
- Hao Zhang 0072 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, MOE-Microsoft Key Laboratory for Intelligent Computing and Intelligent Systems, Shanghai, China
- Hao Zhang 0073
— Wuhan University, Electronic Information School, Wuhan, China
- Hao Zhang 0074
— Nanjing Tech University, School of Mechanical and Power Engineering, Nanjing, China
- Hao Zhang 0075
— Nanjing Forestry University, College of Economics and Management, Nanjing, China
- Hao Zhang 0076
— Northwestern Polytechnical University, School of Microelectronics, Xi'an, China (and 2 more)
- Hao Zhang 0077
— Air Force Engineering University, Graduate School, Xi'an, China
- Hao Zhang 0078
— Fuzhou University, College of Mathematics and Computer Science, Fuzhou, China
- Hao Zhang 0079
— Guangdong University of Petrochemical Technology, School of Computer, Maoming, China (and 1 more)
- Hao Zhang 0080
— Nanjing Medical University, Department of Histology and Embryology, State Key Laboratory of Reproductive Medicine, Nanjing, China
- Hao Zhang 0081
— Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing, China
- Hao Zhang 0082
— University of Technology Sydney, Global Big Data Technologies Centre, Sydney, Australia
- Hao Zhang 0083
— Beijing Institute of Technology, College of Optics and Photonics, Beijing, China
- Hao Zhang 0084
— Southwest Petroleum University, School of Civil Engineering and Architecture, Chengdu, China (and 1 more)
- Hao Zhang 0085
— City University of Hong Kong, Department of Computer Science, Hong Kong
- Hao Zhang 0086
— Northwest A & F University, Institute of Water Resources and Hydropower Research, Shaanxi, China
- Hao Zhang 0087 — Waseda University, Graduate School of Information, Production and Systems, Fukuoka, Japan
- Hao Zhang 0088 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing, China
- Hao Zhang 0089 — Beijing Normal University, School of Geography, Research Center for Remote Sensing and GIS, Beijing, China
- Hao Zhang 0090
— Pfizer Inc. Cambridge, MA, USA
- Hao Zhang 0091 — Hebei University of Technology, School of Mechanical Engineering, Tianjin Key Laboratory of Power Transmission and Safety Technology for New Energy Vehicles, Tianjin, China
- Hao Zhang 0092 — Shanghai Jiao Tong University, Department of Electronic Engineering, Shanghai, China
- Hao Zhang 0093 — Kennesaw State University, College of CSE, Kennesaw, GA, USA
- Hao Zhang 0094
— Dalian University of Technology, School of Electrical Engineering, Dalian, China
- Hao Zhang 0095
— Donghua University, School of Computer Science and Technology, Shanghai, China
- Hao Zhang 0096 — IBM China Research Laboratory, Beijing, China
- Hao Zhang 0097 — Hong Kong University of Science and Technology, Guangzhou, China (and 1 more)
- Hao Zhang 0098
— Chinese University of Hong Kong, Hong Kong (and 1 more)
- Hao Zhang 0099
— Shanghai Jiao Tong University, School of Foreign Languages, China (and 1 more)
- Hao Zhang 0100
— China University of Petroleum, College of Oceanography and Space Informatics, Qingdao, China (and 1 more)
- Hao Zhang 0101
— Nanjing University, State Key Laboratory of Novel Software Technology, China
- Hao Zhang 0102
— Nankai University, Institute of Modern Optics, Tianjin, China
- Hao Zhang 0103
— University of Electronic Science and Technology of China, School of Information and Communication Engineering, Chengdu, China
- Hao Zhang 0104
— Huazhong University of Science and Technology, School of Electrical and Electronic Engineering, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Wuhan, China
- Hao Zhang 0105
— Harbin Institute of Technology, School of Astronautics, China (and 1 more)
- Richard Zhang — disambiguation page
- Richard Zhang 0001 — Adobe Research, San Francisco, CA, USA (and 1 more)
- Qiuyi (Richard) Zhang (aka: Qiuyi Zhang 0001, Richard Zhang 0003) — Google Brain, Pittsburgh, PA, USA (and 2 more)
- Richard Zhang 0004 — University of Pennsylvania, USA
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2020 – today
- 2023
- [j121]Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang:
On learning the right attention point for feature enhancement. Sci. China Inf. Sci. 66(1) (2023) - [j120]Zhiqin Chen
, Andrea Tagliasacchi
, Hao Zhang
:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4870-4881 (2023) - 2022
- [j119]Torsten Möller
, Richard Zhang
:
Perception, Visual Inference, and Exploratory Visualization. IEEE Computer Graphics and Applications 42(1): 17-19 (2022) - [j118]Richard Zhang
:
The New Test of Time Award. IEEE Computer Graphics and Applications 42(2): 89 (2022) - [j117]Richard Zhang
:
Visual Analysis and Processing of Diverse Data. IEEE Computer Graphics and Applications 42(4): 27 (2022) - [j116]Richard Zhang:
Computer Graphics and VR/AR: From Clouds, to Cartoons, to a 3-D Virtual Museum. IEEE Computer Graphics and Applications 42(5): 7 (2022) - [j115]Hao (Richard) Zhang
:
Best Paper Awards 2021. IEEE Computer Graphics and Applications 42(6): 7-8 (2022) - [j114]Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural dual contouring. ACM Trans. Graph. 41(4): 104:1-104:13 (2022) - [j113]Yilin Liu
, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang, Hui Huang:
Learning Reconstructability for Drone Aerial Path Planning. ACM Trans. Graph. 41(6): 197:1-197:17 (2022) - [j112]Yanran Guan
, Han Liu
, Kun Liu, Kangxue Yin, Ruizhen Hu
, Oliver van Kaick
, Yan Zhang
, Ersin Yumer, Nathan Carr
, Radomír Mech
, Hao (Richard) Zhang
:
FAME: 3D Shape Generation via Functionality-Aware Model Evolution. IEEE Trans. Vis. Comput. Graph. 28(4): 1758-1772 (2022) - [c58]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CVPR 2022: 11758-11768 - [c57]Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CVPR 2022: 11769-11778 - [c56]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CVPR 2022: 18593-18601 - [i48]Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CoRR abs/2201.12763 (2022) - [i47]Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang:
Neural Dual Contouring. CoRR abs/2202.01999 (2022) - [i46]Yilin Liu, Liqiang Lin, Yue Hu, Ke Xie, Chi-Wing Fu, Hao Zhang, Hui Huang
:
Learning Reconstructability for Drone Aerial Path Planning. CoRR abs/2209.10174 (2022) - [i45]Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Hao Zhang, Hui Huang, Ruizhen Hu:
NIFT: Neural Interaction Field and Template for Object Manipulation. CoRR abs/2210.10992 (2022) - [i44]Yizhi Wang, Zeyu Huang, Ariel Shamir, Hui Huang, Hao Zhang, Ruizhen Hu:
ARO-Net: Learning Neural Fields from Anchored Radial Observations. CoRR abs/2212.10275 (2022) - 2021
- [j111]Richard Zhang:
Design and Visualization for Exploring Real-World Data. IEEE Computer Graphics and Applications 41(2): 23-24 (2021) - [j110]Feng Liu
, Yurong Qian, Hua Li, Yongqiang Wang, Hao Zhang:
CAFFNet: Channel Attention and Feature Fusion Network for Multi-target Traffic Sign Detection. Int. J. Pattern Recognit. Artif. Intell. 35(7): 2152008:1-2152008:20 (2021) - [j109]Han Zhang, Yucong Yao, Ke Xie, Chi-Wing Fu, Hao Zhang, Hui Huang:
Continuous aerial path planning for 3D urban scene reconstruction. ACM Trans. Graph. 40(6): 225:1-225:15 (2021) - [j108]Zhiqin Chen, Hao Zhang:
Neural marching cubes. ACM Trans. Graph. 40(6): 251:1-251:15 (2021) - [j107]Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao (Richard) Zhang:
TM-NET: deep generative networks for textured meshes. ACM Trans. Graph. 40(6): 263:1-263:15 (2021) - [c55]Or Patashnik, Dov Danon, Hao Zhang
, Daniel Cohen-Or:
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. CVPR Workshops 2021: 2659-2667 - [c54]Yiming Qian, Hao Zhang, Yasutaka Furukawa:
Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses. CVPR 2021: 2796-2805 - [c53]Manyi Li, Hao Zhang
:
D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images. CVPR 2021: 10246-10255 - [c52]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CVPR 2021: 11048-11057 - [c51]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR 2021: 15740-15749 - [c50]Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang:
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. ICCV 2021: 10913-10922 - [c49]Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or:
MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement. ICCVW 2021: 2039-2048 - [c48]Jiongchao Jin, Arezou Fatemi, Wallace M. P. Lira, Fenggen Yu, Biao Leng, Rui Ma
, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes. ICCVW 2021: 2951-2961 - [i43]Jiongchao Jin, Arezou Fatemi, Wallace P. Lira, Fenggen Yu, Biao Leng, Rui Ma, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
RaidaR: A Rich Annotated Image Dataset of Rainy Street Scenes. CoRR abs/2104.04606 (2021) - [i42]Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. CoRR abs/2104.05652 (2021) - [i41]Zhiqin Chen, Hao Zhang:
Neural Marching Cubes. CoRR abs/2106.11272 (2021) - [i40]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang:
Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR abs/2106.14274 (2021) - [i39]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CoRR abs/2112.05381 (2021) - [i38]Hang Zhou, Ali Mahdavi-Amiri, Rui Ma, Hao Zhang:
SAC-GAN: Structure-Aware Image-to-Image Composition for Self-Driving. CoRR abs/2112.06596 (2021) - 2020
- [j106]Yuan Gan
, Yan Zhang, Zhengxing Sun
, Hao Zhang
:
Qualitative photo collage by quartet analysis and active learning. Comput. Graph. 88: 35-44 (2020) - [j105]Richard Zhang, Torsten Möller:
Best of the Best. IEEE Computer Graphics and Applications 40(6): 8-11 (2020) - [j104]Siddhartha Chaudhuri, Daniel Ritchie
, Jiajun Wu, Kai Xu, Hao (Richard) Zhang
:
Learning Generative Models of 3D Structures. Comput. Graph. Forum 39(2): 643-666 (2020) - [j103]Zili Yi
, Zhiqin Chen
, Hao Cai
, Wendong Mao, Minglun Gong
, Hao (Richard) Zhang
:
BSD-GAN: Branched Generative Adversarial Network for Scale-Disentangled Representation Learning and Image Synthesis. IEEE Trans. Image Process. 29: 9073-9083 (2020) - [j102]Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang
, Hui Huang
:
Graph2Plan: learning floorplan generation from layout graphs. ACM Trans. Graph. 39(4): 118 (2020) - [j101]Hao Xu, Ka-Hei Hui, Chi-Wing Fu
, Hao Zhang
:
TilinGNN: learning to tile with self-supervised graph neural network. ACM Trans. Graph. 39(4): 129 (2020) - [j100]Ali Mahdavi-Amiri, Fenggen Yu, Haisen Zhao, Adriana Schulz
, Hao Zhang
:
VDAC: volume decompose-and-carve for subtractive manufacturing. ACM Trans. Graph. 39(6): 203:1-203:15 (2020) - [j99]Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong
, Hao Zhang
, Hui Huang
:
TAP-Net: transport-and-pack using reinforcement learning. ACM Trans. Graph. 39(6): 232:1-232:15 (2020) - [c47]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao (Richard) Zhang
:
COALESCE: Component Assembly by Learning to Synthesize Connections. 3DV 2020: 61-70 - [c46]Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR 2020: 42-51 - [c45]Rundi Wu, Yixin Zhuang
, Kai Xu, Hao Zhang
, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CVPR 2020: 826-835 - [c44]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
:
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR 2020: 8540-8549 - [c43]Jiongchao Jin, Akshay Gadi Patil, Zhang Xiong, Hao (Richard) Zhang
:
DR-KFS: A Differentiable Visual Similarity Metric for 3D Shape Reconstruction. ECCV (21) 2020: 295-311 - [c42]Wallace P. Lira, Johannes Merz, Daniel Ritchie
, Daniel Cohen-Or, Hao (Richard) Zhang
:
GANHopper: Multi-hop GAN for Unsupervised Image-to-Image Translation. ECCV (26) 2020: 363-379 - [c41]Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. NeurIPS 2020 - [i37]Wallace P. Lira, Johannes Merz, Daniel Ritchie, Daniel Cohen-Or, Hao (Richard) Zhang:
GANHopper: Multi-Hop GAN for Unsupervised Image-to-Image Translation. CoRR abs/2002.10102 (2020) - [i36]Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang, Hui Huang:
Graph2Plan: Learning Floorplan Generation from Layout Graphs. CoRR abs/2004.13204 (2020) - [i35]Yanran Guan
, Han Liu
, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomír Mech, Hao Zhang:
3D Shape Generation via Functionality-Aware Model Evolution. CoRR abs/2005.04464 (2020) - [i34]Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver van Kaick, Hao Zhang, Hui Huang:
RPM-Net: Recurrent Prediction of Motion and Parts from Point Cloud. CoRR abs/2006.14865 (2020) - [i33]Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang:
Predictive and Generative Neural Networks for Object Functionality. CoRR abs/2006.15520 (2020) - [i32]Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang:
Computational LEGO Technic Design. CoRR abs/2007.02245 (2020) - [i31]Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang:
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network. CoRR abs/2007.02278 (2020) - [i30]Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang:
PIE-NET: Parametric Inference of Point Cloud Edges. CoRR abs/2007.04883 (2020) - [i29]Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or:
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement. CoRR abs/2007.12944 (2020) - [i28]Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang:
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR abs/2008.01936 (2020) - [i27]Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang:
TAP-Net: Transport-and-Pack using Reinforcement Learning. CoRR abs/2009.01469 (2020) - [i26]Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or:
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. CoRR abs/2010.02036 (2020) - [i25]Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang:
TM-NET: Deep Generative Networks for Textured Meshes. CoRR abs/2010.06217 (2020) - [i24]Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Cao Li, Zengqi Xun, Chengyue Sun, Yiyun Fei, Yu Zheng, Ying Li, Yi Liu, Peng Liu, Lin Ma, Le Weng, Xiaohang Hu, Xin Ma, Qian Qian, Rongfei Jia, Binqiang Zhao, Hao Zhang:
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. CoRR abs/2011.09127 (2020) - [i23]Liqiang Lin, Pengdi Huang, Chi-Wing Fu, Kai Xu, Hao Zhang, Hui Huang:
One Point is All You Need: Directional Attention Point for Feature Learning. CoRR abs/2012.06257 (2020) - [i22]Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CoRR abs/2012.06547 (2020) - [i21]Manyi Li, Hao Zhang:
D2IM-Net: Learning Detail Disentangled Implicit Fields from Single Images. CoRR abs/2012.06650 (2020) - [i20]Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CoRR abs/2012.09159 (2020) - [i19]Yiming Qian, Hao Zhang, Yasutaka Furukawa:
Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses. CoRR abs/2012.09340 (2020)
2010 – 2019
- 2019
- [j98]Pengfei Xu, Jianqiang Ding, Hao Zhang
, Hui Huang
:
Discernible image mosaic with edge-aware adaptive tiles. Comput. Vis. Media 5(1): 45-58 (2019) - [j97]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang
:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. ACM Trans. Graph. 38(2): 12:1-12:16 (2019) - [j96]Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang:
Computational LEGO technic design. ACM Trans. Graph. 38(6): 196 (2019) - [j95]Kangxue Yin, Zhiqin Chen, Hui Huang
, Daniel Cohen-Or, Hao Zhang
:
LOGAN: unpaired shape transform in latent overcomplete space. ACM Trans. Graph. 38(6): 198:1-198:13 (2019) - [j94]Zihao Yan, Ruizhen Hu, Xingguang Yan, Luanmin Chen, Oliver van Kaick, Hao Zhang
, Hui Huang
:
RPM-Net: recurrent prediction of motion and parts from point cloud. ACM Trans. Graph. 38(6): 240:1-240:15 (2019) - [j93]Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang
:
SDM-NET: deep generative network for structured deformable mesh. ACM Trans. Graph. 38(6): 243:1-243:15 (2019) - [j92]Kangxue Yin, Hui Huang
, Edmond S. L. Ho
, Hao Wang
, Taku Komura, Daniel Cohen-Or
, Hao Zhang
:
A Sampling Approach to Generating Closely Interacting 3D Pose-Pairs from 2D Annotations. IEEE Trans. Vis. Comput. Graph. 25(6): 2217-2227 (2019) - [c40]Zhiqin Chen, Hao Zhang
:
Learning Implicit Fields for Generative Shape Modeling. CVPR 2019: 5939-5948 - [c39]Siddhartha Chaudhuri, Daniel Ritchie, Kai Xu, Hao (Richard) Zhang:
Learning Generative Models of 3D Structures. Eurographics (Tutorials) 2019: 47-51 - [c38]Yuan Gan, Yan Zhang, Zhengxing Sun, Hao Zhang:
Qualitative Organization of Photo Collections via Quartet Analysis and Active Learning. Graphics Interface 2019: 6:1-6:8 - [c37]Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV 2019: 8489-8498 - [c36]Nadav Schor, Oren Katzir, Hao Zhang
, Daniel Cohen-Or:
CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition. ICCV 2019: 8758-8767 - [i18]Kangxue Yin, Zhiqin Chen
, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang:
LOGAN: Unpaired Shape Transform in Latent Overcomplete Space. CoRR abs/1903.10170 (2019) - [i17]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss. CoRR abs/1903.10297 (2019) - [i16]Zhiqin Chen
, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang:
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR abs/1903.11228 (2019) - [i15]Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang:
SDM-NET: Deep Generative Network for Structured Deformable Mesh. CoRR abs/1908.04520 (2019) - [i14]Zhiqin Chen
, Andrea Tagliasacchi, Hao Zhang:
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR abs/1911.06971 (2019) - [i13]Jiongchao Jin, Akshay Gadi Patil, Hao (Richard) Zhang:
DR-KFD: A Differentiable Visual Metric for 3D Shape Reconstruction. CoRR abs/1911.09204 (2019) - [i12]Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen:
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CoRR abs/1911.10949 (2019) - 2018
- [j91]Manyi Li
, Noa Fish, Lili Cheng, Changhe Tu, Daniel Cohen-Or, Hao (Richard) Zhang
, Baoquan Chen:
Class-sensitive shape dissimilarity metric. Graph. Model. 98: 33-42 (2018) - [j90]Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang
:
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines. ACM Trans. Graph. 37(2): 21 (2018) - [j89]Haisen Zhao, Hao (Richard) Zhang
, Shiqing Xin, Yuanmin Deng, Changhe Tu, Wenping Wang, Daniel Cohen-Or, Baoquan Chen:
DSCarver: decompose-and-spiral-carve for subtractive manufacturing. ACM Trans. Graph. 37(4): 137 (2018) - [j88]Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao (Richard) Zhang
, Hui Huang
:
Predictive and generative neural networks for object functionality. ACM Trans. Graph. 37(4): 151 (2018) - [j87]Kangxue Yin, Hui Huang
, Daniel Cohen-Or, Hao (Richard) Zhang
:
P2P-NET: bidirectional point displacement net for shape transform. ACM Trans. Graph. 37(4): 152 (2018) - [j86]Xuelin Chen, Honghua Li, Chi-Wing Fu
, Hao Zhang
, Daniel Cohen-Or, Baoquan Chen:
3D fabrication with universal building blocks and pyramidal shells. ACM Trans. Graph. 37(6): 189 (2018) - [j85]Shuhua Li, Ali Mahdavi-Amiri, Ruizhen Hu, Han Liu, Changqing Zou, Oliver van Kaick, Xiuping Liu, Hui Huang
, Hao Zhang
:
Construction and fabrication of reversible shape transforms. ACM Trans. Graph. 37(6): 190 (2018) - [j84]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
:
SCORES: shape composition with recursive substructure priors. ACM Trans. Graph. 37(6): 211 (2018) - [j83]Rui Ma
, Akshay Gadi Patil, Matthew Fisher, Manyi Li, Sören Pirk, Binh-Son Hua, Sai-Kit Yeung, Xin Tong, Leonidas J. Guibas, Hao Zhang
:
Language-driven synthesis of 3D scenes from scene databases. ACM Trans. Graph. 37(6): 212 (2018) - [j82]Wallace P. Lira, Chi-Wing Fu
, Hao Zhang
:
Fabricable eulerian wires for 3D shape abstraction. ACM Trans. Graph. 37(6): 240 (2018) - [c35]Changqing Zou, Qian Yu, Ruofei Du
, Haoran Mo, Yi-Zhe Song
, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang
:
SketchyScene: Richly-Annotated Scene Sketches. ECCV (15) 2018: 438-454 - [e2]Nadia Magnenat-Thalmann, Jinman Kim, Holly E. Rushmeier, Bruno Lévy, Hao (Richard) Zhang, Daniel Thalmann:
Proceedings of Computer Graphics International 2018, CGI 2018, Bintan Island, Indonesia, June 11-14, 2018. ACM 2018 [contents] - [i11]Zili Yi, Zhiqin Chen
, Hao (Richard) Zhang, Xin Huang, Minglun Gong:
Branched Generative Adversarial Networks for Multi-Scale Image Manifold Learning. CoRR abs/1803.08467 (2018) - [i10]Kangxue Yin, Hui Huang, Daniel Cohen-Or, Hao (Richard) Zhang:
P2P-NET: Bidirectional Point Displacement Network for Shape Transform. CoRR abs/1803.09263 (2018) - [i9]Fenggen Yu, Yan Zhang, Kai Xu, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
Semi-Supervised Co-Analysis of 3D Shape Styles from Projected Lines. CoRR abs/1804.06579 (2018) - [i8]Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao (Richard) Zhang:
GRAINS: Generative Recursive Autoencoders for INdoor Scenes. CoRR abs/1807.09193 (2018) - [i7]Changqing Zou, Qian Yu, Ruofei Du, Haoran Mo, Yi-Zhe Song, Tao Xiang, Chengying Gao, Baoquan Chen, Hao Zhang:
SketchyScene: Richly-Annotated Scene Sketches. CoRR abs/1808.02473 (2018) - [i6]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang:
SCORES: Shape Composition with Recursive Substructure Priors. CoRR abs/1809.05398 (2018) - [i5]Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or:
Learning to Generate the "Unseen" via Part Synthesis and Composition. CoRR abs/1811.07441 (2018) - [i4]Zhiqin Chen
, Hao Zhang:
Learning Implicit Fields for Generative Shape Modeling. CoRR abs/1812.02822 (2018) - 2017
- [j81]