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Hao (Richard) Zhang
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 — University of Massachusetts Amherst, MA, USA (and 2 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 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- 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 Mathematical Sciences, Chengdu, China (and 1 more)
- 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)
- Hao Zhang 0106 — Hong Kong University of Science and Technology, Hong Kong, SAR, China
- Hao Zhang 0107 — University of British Columbia, Sauder School of Business, Vancouver, BC, Canada
- Hao Zhang 0108 — University of California, San Diego, CA, USA (and 1 more)
- Hao Zhang 0109 — Information Engineering University, School of Information System Engineering, ZhengZhou, China (and 1 more)
- Hao Zhang 0110 — Yunnan University, School of Information Science and Engineering, Kunming, China
- Hao Zhang 0111 — Nanjing Research Institute of Electronics Technology, China (and 1 more)
- Hao Zhang 0112 — Ohio State University, Department of Computer Science and Engineering, Columbus, OH, USA
- Richard Zhang — disambiguation page
- Richard Zhang 0001 — Adobe Research, San Francisco, CA, USA (and 1 more)
- Qiuyi Zhang 0001 (aka: Qiuyi (Richard) Zhang, Richard Zhang 0003) — Google Brain, Pittsburgh, PA, USA (and 2 more)
- Richard Zhang 0004 — University of Pennsylvania, USA
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2020 – today
- 2024
- [j129]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. Comput. Graph. Forum 43(1) (2024) - [j128]Zeyu Huang, Sisi Dai, Kai Xu, Hao (Richard) Zhang, Hui Huang, Ruizhen Hu:
DINA: Deformable INteraction Analogy. Graph. Model. 133: 101217 (2024) - [j127]Sai Raj Kishore Perla, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
EASI-Tex: Edge-Aware Mesh Texturing from Single Image. ACM Trans. Graph. 43(4): 40:1-40:11 (2024) - [j126]Yilin Liu, Jiale Chen, Shanshan Pan, Daniel Cohen-Or, Hao Zhang, Hui Huang:
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning. ACM Trans. Graph. 43(4): 108:1-108:13 (2024) - [j125]Hang Zhou, Rui Ma, Ling-Xiao Zhang, Lin Gao, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
SAC-GAN: Structure-Aware Image Composition. IEEE Trans. Vis. Comput. Graph. 30(7): 3151-3165 (2024) - [c73]Yizhi Wang, Wallace P. Lira, Wenqi Wang, Ali Mahdavi-Amiri, Hao Zhang:
Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction. CVPR 2024: 9881-9891 - [c72]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao (Richard) Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. ECCV (39) 2024: 110-127 - [c71]Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang:
Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images. ECCV (34) 2024: 111-127 - [c70]Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. ECCV (80) 2024: 454-471 - [c69]Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang:
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. SIGGRAPH (Conference Paper Track) 2024: 82 - [c68]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization. SIGGRAPH (Conference Paper Track) 2024: 110 - [e3]Takeo Igarashi, Ariel Shamir, Hao (Richard) Zhang:
SIGGRAPH Asia 2024 Conference Papers, SA 2024, Tokyo, Japan, December 3-6, 2024. ACM 2024, ISBN 979-8-4007-1131-2 [contents] - [i68]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization. CoRR abs/2402.02313 (2024) - [i67]Maham Tanveer, Yizhi Wang, Ruiqi Wang, Nanxuan Zhao, Ali Mahdavi-Amiri, Hao Zhang:
AnaMoDiff: 2D Analogical Motion Diffusion via Disentangled Denoising. CoRR abs/2402.03549 (2024) - [i66]Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. CoRR abs/2404.00875 (2024) - [i65]Sai Raj Kishore Perla, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
EASI-Tex: Edge-Aware Mesh Texturing from Single Image. CoRR abs/2405.17393 (2024) - [i64]Yilin Liu, Jiale Chen, Shanshan Pan, Daniel Cohen-Or, Hao Zhang, Hui Huang:
Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning. CoRR abs/2406.05261 (2024) - [i63]Qimin Chen, Zhiqin Chen, Vladimir G. Kim, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri:
DECOLLAGE: 3D Detailization by Controllable, Localized, and Learned Geometry Enhancement. CoRR abs/2409.06129 (2024) - 2023
- [j124]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) - [j123]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) - [j122]Tong Wu, Lin Gao, Ling-Xiao Zhang, Yu-Kun Lai, Hao Zhang:
STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15680-15693 (2023) - [j121]Zihao Yan, Fubao Su, Mingyang Wang, Ruizhen Hu, Hao Zhang, Hui Huang:
Interaction-Driven Active 3D Reconstruction with Object Interiors. ACM Trans. Graph. 42(6): 250:1-250:12 (2023) - [j120]Juzhan Xu, Minglun Gong, Hao Zhang, Hui Huang, Ruizhen Hu:
Neural Packing: from Visual Sensing to Reinforcement Learning. ACM Trans. Graph. 42(6): 267:1-267:11 (2023) - [c67]Yizhi Wang, Zeyu Huang, Ariel Shamir, Hui Huang, Hao Zhang, Ruizhen Hu:
ARO-Net: Learning Implicit Fields from Anchored Radial Observations. CVPR 2023: 3572-3581 - [c66]Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion. ICCV 2023: 374-384 - [c65]Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. ICCV 2023: 865-875 - [c64]Zeyu Huang, Juzhan Xu, Sisi Dai, Kai Xu, Richard Zhang, Hui Huang, Ruizhen Hu:
NIFT: Neural Interaction Field and Template for Object Manipulation. ICRA 2023: 1875-1881 - [c63]Aditya Vora, Akshay Gadi Patil, Hao Zhang:
DiViNeT: 3D Reconstruction from Disparate Views using Neural Template Regularization. NeurIPS 2023 - [c62]Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang:
D2CSG: Unsupervised Learning of Compact CSG Trees with Dual Complements and Dropouts. NeurIPS 2023 - [c61]Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang:
ShaDDR: Interactive Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering. SIGGRAPH Asia 2023: 58:1-58:11 - [c60]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration. SIGGRAPH Asia 2023: 67:1-67:12 - [i62]Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang:
HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. CoRR abs/2301.10460 (2023) - [i61]Fenggen Yu, Qimin Chen, Maham Tanveer, Ali Mahdavi-Amiri, Hao Zhang:
DualCSG: Learning Dual CSG Trees for General and Compact CAD Modeling. CoRR abs/2301.11497 (2023) - [i60]Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion. CoRR abs/2303.09604 (2023) - [i59]Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu, Hao Zhang:
Coarse-to-Fine Active Segmentation of Interactable Parts in Real Scene Images. CoRR abs/2303.11530 (2023) - [i58]Akshay Gadi Patil, Supriya Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang:
Advances in Data-Driven Analysis and Synthesis of 3D Indoor Scenes. CoRR abs/2304.03188 (2023) - [i57]Akshay Gadi Patil, Yiming Qian, Shan Yang, Brian Jackson, Eric P. Bennett, Hao Zhang:
RoSI: Recovering 3D Shape Interiors from Few Articulation Images. CoRR abs/2304.06342 (2023) - [i56]Dingdong Yang, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang:
BRIGHT: Bi-level Feature Representation of Image Collections using Groups of Hash Tables. CoRR abs/2305.18601 (2023) - [i55]Aditya Vora, Akshay Gadi Patil, Hao Zhang:
DiViNeT: 3D Reconstruction from Disparate Views via Neural Template Regularization. CoRR abs/2306.04699 (2023) - [i54]Qimin Chen, Zhiqin Chen, Hang Zhou, Hao Zhang:
ShaDDR: Real-Time Example-Based Geometry and Texture Generation via 3D Shape Detailization and Differentiable Rendering. CoRR abs/2306.04889 (2023) - [i53]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration. CoRR abs/2306.08226 (2023) - [i52]Zihao Yan, Fubao Su, Mingyang Wang, Ruizhen Hu, Hao Zhang, Hui Huang:
Interaction-Driven Active 3D Reconstruction with Object Interiors. CoRR abs/2310.14700 (2023) - [i51]Juzhan Xu, Minglun Gong, Hao Zhang, Hui Huang, Ruizhen Hu:
Neural Packing: from Visual Sensing to Reinforcement Learning. CoRR abs/2311.09233 (2023) - [i50]Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang:
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. CoRR abs/2311.13125 (2023) - [i49]Yizhi Wang, Wallace P. Lira, Wenqi Wang, Ali Mahdavi-Amiri, Hao (Richard) Zhang:
Slice3D: Multi-Slice, Occlusion-Revealing, Single View 3D Reconstruction. CoRR abs/2312.02221 (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) - [c59]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 - [c58]Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang:
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CVPR 2022: 11769-11778 - [c57]Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang:
UNIST: Unpaired Neural Implicit Shape Translation Network. CVPR 2022: 18593-18601 - [c56]Hao (Richard) Zhang:
A Conversation with CHCCS 2022 Achievement Award winner Prof. Hao (Richard) Zhang. Graphics Interface 2022: 6-8 - [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]Bedrich Benes, David J. Kasik, Wilmot Li, Hao Zhang:
Computational Design and Fabrication. IEEE Computer Graphics and Applications 37(3): 32-33 (2017) - [j80]Warunika Ranaweera, Parmit K. Chilana, Daniel Cohen-Or, Hao (Richard) Zhang:
ExquiMo: An Exquisite Corpse Tool for Collaborative 3D Shape Design. J. Comput. Sci. Technol. 32(6): 1138-1149 (2017) - [j79]Ruizhen Hu, Wenchao Li, Oliver van Kaick, Hui Huang, Melinos Averkiou, Daniel Cohen-Or, Hao (Richard) Zhang:
Co-Locating Style-Defining Elements on 3D Shapes. ACM Trans. Graph. 36(3): 33:1-33:15 (2017) - [j78]Chenyang Zhu, Renjiao Yi, Wallace P. Lira, Ibraheem Alhashim, Kai Xu, Hao (Richard) Zhang:
Deformation-driven shape correspondence via shape recognition. ACM Trans. Graph. 36(4): 51:1-51:12 (2017) - [j77]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao (Richard) Zhang, Leonidas J. Guibas:
GRASS: generative recursive autoencoders for shape structures. ACM Trans. Graph. 36(4): 52:1-52:14 (2017) - [j76]Zhaoliang Lun, Changqing Zou, Haibin Huang, Evangelos Kalogerakis, Ping Tan, Marie-Paule Cani, Hao Zhang:
Learning to group discrete graphical patterns. ACM Trans. Graph. 36(6): 225:1-225:11 (2017) - [j75]Ruizhen Hu, Wenchao Li, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang:
Learning to predict part mobility from a single static snapshot. ACM Trans. Graph. 36(6): 227:1-227:13 (2017) - [j74]Lili Wan, Changqing Zou, Hao Zhang:
Full and partial shape similarity through sparse descriptor reconstruction. Vis. Comput. 33(12): 1497-1509 (2017) - [c34]Zili Yi, Hao (Richard) Zhang, Ping Tan, Minglun Gong:
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation. ICCV 2017: 2868-2876 - [i3]Zili Yi, Hao Zhang, Ping Tan, Minglun Gong:
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation. CoRR abs/1704.02510 (2017) - [i2]Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas:
GRASS: Generative Recursive Autoencoders for Shape Structures. CoRR abs/1705.02090 (2017) - 2016
- [j73]Hao (Richard) Zhang, Anthony Tang:
Foreword to special section on Graphics Interface 2015. Comput. Graph. 55: A1-A2 (2016) - [j72]Min Chen, Hao (Richard) Zhang:
Editorial. Comput. Graph. Forum 35(1): 3 (2016) - [j71]Z. Sadeghipour Kermani, Z. Liao, P. Tan, Hao Zhang:
Learning 3D Scene Synthesis from Annotated RGB-D Images. Comput. Graph. Forum 35(5): 197-206 (2016) - [j70]Hui Huang, Dani Lischinski, Hao Zhang, Minglun Gong, Marc Christie, Daniel Cohen-Or:
Trip Synopsis: 60km in 60sec. Comput. Graph. Forum 35(7): 107-116 (2016) - [j69]Ruizhen Hu, Oliver van Kaick, Bojian Wu, Hui Huang, Ariel Shamir, Hao Zhang:
Learning how objects function via co-analysis of interactions. ACM Trans. Graph. 35(4): 47:1-47:13 (2016) - [j68]Haisen Zhao, Fanglin Gu, Qi-Xing Huang, Jorge A. Garcia Galicia, Yong Chen, Changhe Tu, Bedrich Benes, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Connected fermat spirals for layered fabrication. ACM Trans. Graph. 35(4): 100:1-100:10 (2016) - [j67]Changqing Zou, Junjie Cao, Warunika Ranaweera, Ibraheem Alhashim, Ping Tan, Alla Sheffer, Hao Zhang:
Legible compact calligrams. ACM Trans. Graph. 35(4): 122:1-122:12 (2016) - [j66]Rui Ma, Honghua Li, Changqing Zou, Zicheng Liao, Xin Tong, Hao Zhang:
Action-driven 3D indoor scene evolution. ACM Trans. Graph. 35(6): 173:1-173:13 (2016) - [j65]Daniel Cohen-Or, Hao Zhang:
From inspired modeling to creative modeling. Vis. Comput. 32(1): 7-14 (2016) - [j64]Daniel Cohen-Or, Hao Zhang:
Erratum to: From inspired modeling to creative modeling. Vis. Comput. 32(11): 1507-1508 (2016) - [c33]Lei Li, Zhe Huang, Changqing Zou, Chiew-Lan Tai, Rynson W. H. Lau, Hao Zhang, Ping Tan, Hongbo Fu:
Model-driven sketch reconstruction with structure-oriented retrieval. SIGGRAPH Asia Technical Briefs 2016: 28 - [p1]Honghua Li, Hao (Richard) Zhang:
Shape Compaction. Perspectives in Shape Analysis 2016: 171-185 - 2015
- [b1]Daniel Cohen-Or, Chen Greif, Tao Ju, Niloy J. Mitra, Hao (Richard) Zhang:
A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing. CRC Press 2015, ISBN 978-1-498-70628-5, pp. I-XIII, 1-230 - [j63]Zhenbao Liu, Caili Xie, Shuhui Bu, Xiao Wang, Junwei Han, Hongwei Lin, Hao Zhang:
Indirect shape analysis for 3D shape retrieval. Comput. Graph. 46: 110-116 (2015) - [j62]Oliver Deussen, Hao (Richard) Zhang:
Editorial. Comput. Graph. Forum 34(1): 1 (2015) - [j61]Hadar Averbuch-Elor, Yunhai Wang, Yiming Qian, Minglun Gong, Johannes Kopf, Hao Zhang, Daniel Cohen-Or:
Distilled Collections from Textual Image Queries. Comput. Graph. Forum 34(2): 131-142 (2015) - [j60]Qian Zheng, Zhuming Hao, Hui Huang, Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Skeleton-Intrinsic Symmetrization of Shapes. Comput. Graph. Forum 34(2): 275-286 (2015) - [j59]Ruizhen Hu, Chenyang Zhu, Oliver van Kaick, Ligang Liu, Ariel Shamir, Hao Zhang:
Interaction context (ICON): towards a geometric functionality descriptor. ACM Trans. Graph. 34(4): 83:1-83:12 (2015) - [j58]Honghua Li, Ruizhen Hu, Ibraheem Alhashim, Hao Zhang:
Foldabilizing furniture. ACM Trans. Graph. 34(4): 90:1-90:12 (2015) - [j57]Yang Zhou, Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or:
Generalized cylinder decomposition. ACM Trans. Graph. 34(6): 171:1-171:14 (2015) - [j56]Xuelin Chen, Hao Zhang, Jinjie Lin, Ruizhen Hu, Lin Lu, Qi-Xing Huang, Bedrich Benes, Daniel Cohen-Or, Baoquan Chen:
Dapper: decompose-and-pack for 3D printing. ACM Trans. Graph. 34(6): 213:1-213:12 (2015) - [j55]Ibraheem Alhashim, Kai Xu, Yixin Zhuang, Junjie Cao, Patricio D. Simari, Hao Zhang:
Deformation-driven topology-varying 3D shape correspondence. ACM Trans. Graph. 34(6): 236:1-236:13 (2015) - [c32]Lili Wan, Jingyu Jiang, Hao Zhang:
Incomplete 3D Shape Retrieval via Sparse Dictionary Learning. PG (Short Papers) 2015: 25-30 - [e1]Hao (Richard) Zhang, Tony Tang:
Proceedings of the 41st Graphics Interface Conference, Halifax, NS, Canada, June 3-5, 2015. ACM 2015, ISBN 978-0-9947868-0-7 [contents] - 2014
- [j54]Kai Xu, Rui Ma, Hao Zhang, Chenyang Zhu, Ariel Shamir, Daniel Cohen-Or, Hui Huang:
Organizing heterogeneous scene collections through contextual focal points. ACM Trans. Graph. 33(4): 35:1-35:12 (2014) - [j53]Ibraheem Alhashim, Honghua Li, Kai Xu, Junjie Cao, Rui Ma, Hao Zhang:
Topology-varying 3D shape creation via structural blending. ACM Trans. Graph. 33(4): 158:1-158:10 (2014) - [j52]Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or, Baoquan Chen:
Morfit: interactive surface reconstruction from incomplete point clouds with curve-driven topology and geometry control. ACM Trans. Graph. 33(6): 202:1-202:12 (2014) - [j51]Ruizhen Hu, Honghua Li, Hao Zhang, Daniel Cohen-Or:
Approximate pyramidal shape decomposition. ACM Trans. Graph. 33(6): 213:1-213:12 (2014) - [c31]Jifeng Zhang, Xiao Wang, Weidong Tian, Guangyu Gong, Hao Zhang:
Evidence of positive selection on D-lactate dehydrogenases in Lactobacillus delbrueckii subsp. bulgaricus. BIBM 2014: 31-38 - [c30]Xiaowu Chen, Dongqing Zou, Jianwei Li, Xiaochun Cao, Qinping Zhao, Hao Zhang:
Sparse Dictionary Learning for Edit Propagation of High-Resolution Images. CVPR 2014: 2854-2861 - [c29]Hui Wang, Patricio D. Simari, Zhixun Su, Hao Zhang:
Spectral global intrinsic symmetry invariant functions. Graphics Interface 2014: 209-215 - [c28]Niloy J. Mitra, Michael Wand, Hao Zhang, Daniel Cohen-Or, Vladimir G. Kim, Qi-Xing Huang:
Structure-aware shape processing. SIGGRAPH Courses 2014: 13:1-13:21 - 2013
- [j50]Zhenbao Liu, Sicong Tang, Shuhui Bu, Hao Zhang:
New evaluation metrics for mesh segmentation. Comput. Graph. 37(6): 553-564 (2013) - [j49]Honghua Li, Hao Zhang, Y. Wang, Junjie Cao, Ariel Shamir, Daniel Cohen-Or:
Curve Style Analysis in a Set of Shapes. Comput. Graph. Forum 32(6): 77-88 (2013) - [j48]Oliver van Kaick, Hao Zhang, Ghassan Hamarneh:
Bilateral Maps for Partial Matching. Comput. Graph. Forum 32(6): 189-200 (2013) - [j47]Wei Jiang, Kai Xu, Zhi-Quan Cheng, Hao Zhang:
Skeleton-based intrinsic symmetry detection on point clouds. Graph. Model. 75(4): 177-188 (2013) - [j46]Hui Huang, Shihao Wu, Minglun Gong, Daniel Cohen-Or, Uri M. Ascher, Hao (Richard) Zhang:
Edge-aware point set resampling. ACM Trans. Graph. 32(1): 9:1-9:12 (2013) - [j45]Hui Huang, Shihao Wu, Daniel Cohen-Or, Minglun Gong, Hao Zhang, Guiqing Li, Baoquan Chen:
L1-medial skeleton of point cloud. ACM Trans. Graph. 32(4): 65:1-65:8 (2013) - [j44]Oliver van Kaick, Kai Xu, Hao Zhang, Yanzhen Wang, Shuyang Sun, Ariel Shamir, Daniel Cohen-Or:
Co-hierarchical analysis of shape structures. ACM Trans. Graph. 32(4): 69:1-69:10 (2013) - [j43]Shi-Sheng Huang, Ariel Shamir, Chao-Hui Shen, Hao Zhang, Alla Sheffer, Shi-Min Hu, Daniel Cohen-Or:
Qualitative organization of collections of shapes via quartet analysis. ACM Trans. Graph. 32(4): 71:1-71:10 (2013) - [j42]Hao Zhang, Kai Xu, Wei Jiang, Jinjie Lin, Daniel Cohen-Or, Baoquan Chen:
Layered analysis of irregular facades via symmetry maximization. ACM Trans. Graph. 32(4): 121:1-121:13 (2013) - [j41]Yunhai Wang, Minglun Gong, Tianhua Wang, Daniel Cohen-Or, Hao Zhang, Baoquan Chen:
Projective analysis for 3D shape segmentation. ACM Trans. Graph. 32(6): 192:1-192:12 (2013) - [c27]Niloy J. Mitra, Michael Wand, Hao Zhang, Daniel Cohen-Or, Martin Bokeloh:
Structure-Aware Shape Processing. Eurographics (State of the Art Reports) 2013: 175-197 - [c26]Niloy J. Mitra, Michael Wand, Hao (Richard) Zhang, Daniel Cohen-Or, Vladimir G. Kim, Qi-Xing Huang:
Structure-aware shape processing. SIGGRAPH ASIA Courses 2013: 1:1-1:20 - 2012
- [j40]Nima Aghdaii, Hamid Younesy, Hao Zhang:
5-6-7 Meshes: Remeshing and analysis. Comput. Graph. 36(8): 1072-1083 (2012) - [j39]Andrea Tagliasacchi, Ibraheem Alhashim, Matt Olson, Hao Zhang:
Mean Curvature Skeletons. Comput. Graph. Forum 31(5): 1735-1744 (2012) - [j38]Hui Wang, Zhixun Su, Junjie Cao, Ye Wang, Hao Zhang:
Empirical mode decomposition on surfaces. Graph. Model. 74(4): 173-183 (2012) - [j37]Kai Xu, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Fit and diverse: set evolution for inspiring 3D shape galleries. ACM Trans. Graph. 31(4): 57:1-57:10 (2012) - [j36]Honghua Li, Ibraheem Alhashim, Hao Zhang, Ariel Shamir, Daniel Cohen-Or:
Stackabilization. ACM Trans. Graph. 31(6): 158:1-158:9 (2012) - [j35]Yunhai Wang, Shmulik Asafi, Oliver van Kaick, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
Active co-analysis of a set of shapes. ACM Trans. Graph. 31(6): 165:1-165:10 (2012) - [j34]Hui Huang, Minglun Gong, Daniel Cohen-Or, Yaobin Ouyang, Fuwen Tan, Hao Zhang:
Field-guided registration for feature-conforming shape composition. ACM Trans. Graph. 31(6): 179:1-179:11 (2012) - [j33]Kai Xu, Hao Zhang, Wei Jiang, Ramsay Dyer, Zhi-Quan Cheng, Ligang Liu, Baoquan Chen:
Multi-scale partial intrinsic symmetry detection. ACM Trans. Graph. 31(6): 181:1-181:11 (2012) - [j32]Ibraheem Alhashim, Hao Zhang, Ligang Liu:
Detail-replicating shape stretching. Vis. Comput. 28(12): 1153-1166 (2012) - [c25]Nima Aghdaii, Hamid Younesy, Hao Zhang:
5-6-7 meshes. Graphics Interface 2012: 27-34 - 2011
- [j31]Matt Olson, Ramsay Dyer, Hao Zhang, Alla Sheffer:
Point set silhouettes via local reconstruction. Comput. Graph. 35(3): 500-509 (2011) - [j30]Yanzhen Wang, Kai Xu, Jun Li, Hao Zhang, Ariel Shamir, Ligang Liu, Zhi-Quan Cheng, Yueshan Xiong:
Symmetry Hierarchy of Man-Made Objects. Comput. Graph. Forum 30(2): 287-296 (2011) - [j29]Oliver van Kaick, Andrea Tagliasacchi, Oana Sidi, Hao Zhang, Daniel Cohen-Or, Lior Wolf, Ghassan Hamarneh:
Prior Knowledge for Part Correspondence. Comput. Graph. Forum 30(2): 553-562 (2011) - [j28]Andrea Tagliasacchi, Matt Olson, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or:
VASE: Volume-Aware Surface Evolution for Surface Reconstruction from Incomplete Point Clouds. Comput. Graph. Forum 30(5): 1563-1571 (2011) - [j27]Oliver van Kaick, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or:
A Survey on Shape Correspondence. Comput. Graph. Forum 30(6): 1681-1707 (2011) - [j26]Kai Xu, Hanlin Zheng, Hao Zhang, Daniel Cohen-Or, Ligang Liu, Yueshan Xiong:
Photo-inspired model-driven 3D object modeling. ACM Trans. Graph. 30(4): 80 (2011) - [j25]Oana Sidi, Oliver van Kaick, Yanir Kleiman, Hao Zhang, Daniel Cohen-Or:
Unsupervised co-segmentation of a set of shapes via descriptor-space spectral clustering. ACM Trans. Graph. 30(6): 126 (2011) - [j24]Jinjie Lin, Daniel Cohen-Or, Hao Zhang, Cheng Liang, Andrei Sharf, Oliver Deussen, Baoquan Chen:
Structure-preserving retargeting of irregular 3D architecture. ACM Trans. Graph. 30(6): 183 (2011) - [j23]Joe Kahlert, Matt Olson, Hao Zhang:
Width-bounded geodesic strips for surface tiling. Vis. Comput. 27(1): 45-56 (2011) - [c24]Bruno Lévy, Hao (Richard) Zhang:
Elements of geometry processing. SIGGRAPH Asia Courses 2011: 5:1-5:48 - [i1]Julian Heinrich, Yuan Luo, Arthur E. Kirkpatrick, Hao Zhang, Daniel Weiskopf:
Evaluation of a Bundling Technique for Parallel Coordinates. CoRR abs/1109.6073 (2011) - 2010
- [j22]Qian Zheng, Andrei Sharf, Andrea Tagliasacchi, Baoquan Chen, Hao Zhang, Alla Sheffer, Daniel Cohen-Or:
Consensus Skeleton for Non-rigid Space-time Registration. Comput. Graph. Forum 29(2): 635-644 (2010) - [j21]Hao Zhang, Oliver van Kaick, Ramsay Dyer:
Spectral Mesh Processing. Comput. Graph. Forum 29(6): 1865-1894 (2010) - [j20]Lior Shapira, Shy Shalom, Ariel Shamir, Daniel Cohen-Or, Hao Zhang:
Contextual Part Analogies in 3D Objects. Int. J. Comput. Vis. 89(2-3): 309-326 (2010) - [j19]Liangliang Nan, Andrei Sharf, Hao Zhang, Daniel Cohen-Or, Baoquan Chen:
SmartBoxes for interactive urban reconstruction. ACM Trans. Graph. 29(4): 93:1-93:10 (2010) - [j18]Shy Shalom, Ariel Shamir, Hao Zhang, Daniel Cohen-Or:
Cone carving for surface reconstruction. ACM Trans. Graph. 29(6): 150 (2010) - [j17]Yotam Livny, Feilong Yan, Matt Olson, Baoquan Chen, Hao Zhang, Jihad El-Sana:
Automatic reconstruction of tree skeletal structures from point clouds. ACM Trans. Graph. 29(6): 151 (2010) - [j16]Kai Xu, Honghua Li, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong, Zhi-Quan Cheng:
Style-content separation by anisotropic part scales. ACM Trans. Graph. 29(6): 184 (2010) - [c23]Oliver van Kaick, Hao Zhang, Ghassan Hamarneh, Daniel Cohen-Or:
A Survey on Shape Correspondence. Eurographics (State of the Art Reports) 2010: 61-82 - [c22]Bruno Lévy, Hao (Richard) Zhang:
Spectral mesh processing. SIGGRAPH Courses 2010: 8:1-8:312 - [c21]Junjie Cao, Andrea Tagliasacchi, Matt Olson, Hao Zhang, Zhixun Su:
Point Cloud Skeletons via Laplacian Based Contraction. Shape Modeling International 2010: 187-197
2000 – 2009
- 2009
- [j15]Kai Xu, Zhi-Quan Cheng, Yanzhen Wang, Yueshan Xiong, Hao Zhang:
Quality encoding for tetrahedral mesh optimization. Comput. Graph. 33(3): 250-261 (2009) - [j14]Kai Xu, Hao Zhang, Daniel Cohen-Or, Yueshan Xiong:
Dynamic harmonic fields for surface processing. Comput. Graph. 33(3): 391-398 (2009) - [j13]Matt Olson, Hao Zhang:
Tangential Distance Fields for Mesh Silhouette Problems. Comput. Graph. Forum 28(1): 84-100 (2009) - [j12]Rong Liu, Hao Zhang, Ariel Shamir, Daniel Cohen-Or:
A Part-aware Surface Metric for Shape Analysis. Comput. Graph. Forum 28(2): 397-406 (2009) - [j11]Andrea Tagliasacchi, Hao Zhang, Daniel Cohen-Or:
Curve skeleton extraction from incomplete point cloud. ACM Trans. Graph. 28(3): 71 (2009) - [j10]Kai Xu, Daniel Cohen-Or, Tao Ju, Ligang Liu, Hao Zhang, Shizhe Zhou, Yueshan Xiong:
Feature-aligned shape texturing. ACM Trans. Graph. 28(5): 108 (2009) - [j9]Kai Xu, Hao Zhang, Andrea Tagliasacchi, Ligang Liu, Guo Li, Min Meng, Yueshan Xiong:
Partial intrinsic reflectional symmetry of 3D shapes. ACM Trans. Graph. 28(5): 138 (2009) - [j8]Hui Huang, Dan Li, Hao Zhang, Uri M. Ascher, Daniel Cohen-Or:
Consolidation of unorganized point clouds for surface reconstruction. ACM Trans. Graph. 28(5): 176 (2009) - [c20]Xiaoxing Li, Tao Jia, Hao Zhang:
Expression-insensitive 3D face recognition using sparse representation. CVPR 2009: 2575-2582 - [c19]Bruno Lévy, Hao Zhang:
Spectral mesh processing. SIGGRAPH ASIA Courses 2009 - [c18]Ramsay Dyer, Hao Zhang, Torsten Möller:
Gabriel meshes and Delaunay edge flips. Symposium on Solid and Physical Modeling 2009: 295-300 - 2008
- [j7]Ramsay Dyer, Hao Zhang, Torsten Möller:
Surface sampling and the intrinsic Voronoi diagram. Comput. Graph. Forum 27(5): 1393-1402 (2008) - [j6]Hao Zhang, Alla Sheffer, Daniel Cohen-Or, Quan Zhou, Oliver van Kaick, Andrea Tagliasacchi:
Deformation-Driven Shape Correspondence. Comput. Graph. Forum 27(5): 1431-1439 (2008) - [c17]Rong Liu, Hao Zhang, James Busby:
Convex hull covering of polygonal scenes for accurate collision detection in games. Graphics Interface 2008: 203-210 - 2007
- [j5]Varun Jain, Hao Zhang:
A spectral approach to shape-based retrieval of articulated 3D models. Comput. Aided Des. 39(5): 398-407 (2007) - [j4]Rong Liu, Hao Zhang:
Mesh Segmentation via Spectral Embedding and Contour Analysis. Comput. Graph. Forum 26(3): 385-394 (2007) - [j3]Varun Jain, Hao Zhang, Oliver van Kaick:
Non-Rigid Spectral Correspondence of Triangle Meshes. Int. J. Shape Model. 13(1): 101-124 (2007) - [c16]Hao (Richard) Zhang, Oliver van Kaick, Ramsay Dyer:
Spectral Methods for Mesh Processing and Analysis. Eurographics (State of the Art Reports) 2007: 1-22 - [c15]Oliver van Kaick, Ghassan Hamarneh, Hao Zhang, Paul Wighton:
Contour Correspondence via Ant Colony Optimization. PG 2007: 271-280 - [c14]Ramsay Dyer, Hao Zhang, Torsten Möller:
Delaunay mesh construction. Symposium on Geometry Processing 2007: 273-282 - [c13]Ramsay Dyer, Hao Zhang, Torsten Möller:
Voronoi-Delaunay duality and Delaunay meshes. Symposium on Solid and Physical Modeling 2007: 415-420 - [c12]Xiaoxing Li, Hao Zhang:
Adapting Geometric Attributes for Expression-Invariant 3D Face Recognition. Shape Modeling International 2007: 21-32 - 2006
- [j2]Matt Olson, Hao Zhang:
Silhouette Extraction in Hough Space. Comput. Graph. Forum 25(3): 273-282 (2006) - [c11]Rong Liu, Varun Jain, Hao Zhang:
Sub-sampling for Efficient Spectral Mesh Processing. Computer Graphics International 2006: 172-184 - [c10]Xiaoxing Li, Greg Mori, Hao Zhang:
Expression-Invariant Face Recognition with Expression Classification. CRV 2006: 77 - [c9]Varun Jain, Hao Zhang:
Shape-Based Retrieval of Articulated 3D Models Using Spectral Embedding. GMP 2006: 299-312 - [c8]Rong Liu, Hao Zhang, Oliver van Kaick:
Spectral Sequencing Based on Graph Distance. GMP 2006: 630-636 - [c7]J. Y. S. Li, Hao Zhang:
Nonobtuse remeshing and mesh decimation. Symposium on Geometry Processing 2006: 235-238 - [c6]Andrew Clements, Hao Zhang:
Minimum Ratio Contours on Surface Meshes. SMI 2006: 8 - [c5]Varun Jain, Hao Zhang:
Robust 3D Shape Correspondence in the Spectral Domain. SMI 2006: 19 - 2004
- [c4]Hao Zhang, Hendrik C. Blok:
Optimal Mesh Signal Transforms. GMP 2004: 373-378 - [c3]Rong Liu, Hao Zhang:
Segmentation of 3D Meshes through Spectral Clustering. PG 2004: 298-305 - 2003
- [c2]Hao Zhang, Eugene Fiume:
Butterworth Filtering and Implicit Fairing of Irregular Meshes. PG 2003: 502-506 - 2002
- [c1]Hao Zhang, Eugene Fiume:
Shape Matching of 3-D Contours Using Normalized Fourier Descriptors. Shape Modeling International 2002: 261-270 - 2000
- [j1]Janusz A. Brzozowski, Hao Zhang:
Delay-Insensitivity and Semi-Modularity. Formal Methods Syst. Des. 16(2): 191-218 (2000)
Coauthor Index
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