Hao Zhang

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 96

Top Venues

Publications

Fenggen Yu, Yiming Qian, Xu Zhang, Francisca Gil-Ureta, Brian Jackson, Eric Bennett, Hao Zhang
DPA-Net: Structured 3D Abstraction from Sparse Views via Differentiable Primitive Assembly. CoRR (2024)
Zhiqin Chen, Qimin Chen, Hang Zhou, Hao Zhang
DAE-Net: Deforming Auto-Encoder for fine-grained shape co-segmentation. SIGGRAPH (Conference Paper Track) (2024)
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)
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 (2024)
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)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Learning Mesh Representations via Binary Space Partitioning Tree Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
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) (2023)
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) (2023)
Juzhan Xu, Minglun Gong, Hao Zhang, Hui Huang, Ruizhen Hu
Neural Packing: from Visual Sensing to Reinforcement Learning. ACM Trans. Graph. 42 (6) (2023)
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)
Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CVPR (2022)
Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
Neural Dual Contouring. CoRR (2022)
Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. CoRR (2022)
Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
UNIST: Unpaired Neural Implicit Shape Translation Network. CVPR (2022)
Zhiqin Chen, Andrea Tagliasacchi, Thomas A. Funkhouser, Hao Zhang
Neural dual contouring. ACM Trans. Graph. 41 (4) (2022)
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) (2022)
Hang Zhou, Ali Mahdavi-Amiri, Rui Ma, Hao Zhang
SAC-GAN: Structure-Aware Image-to-Image Composition for Self-Driving. CoRR (2021)
Zhiqin Chen, Hao Zhang
Neural marching cubes. ACM Trans. Graph. 40 (6) (2021)
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) (2021)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
Learning Mesh Representations via Binary Space Partitioning Tree Networks. CoRR (2021)
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)
Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CVPR (2021)
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) (2021)
Manyi Li, Hao Zhang
D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images. CVPR (2021)
Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or
MRGAN: Multi-Rooted 3D Shape Representation Learning with Unsupervised Part Disentanglement. ICCVW (2021)
Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri
DECOR-GAN: 3D Shape Detailization by Conditional Refinement. CVPR (2021)
Yiming Qian, Hao Zhang, Yasutaka Furukawa
Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses. CVPR (2021)
Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or
BalaGAN: Cross-Modal Image Translation Between Imbalanced Domains. CVPR Workshops (2021)
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 (2021)
Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang
UNIST: Unpaired Neural Implicit Shape Translation Network. CoRR (2021)
Zhiqin Chen, Hao Zhang
Neural Marching Cubes. CoRR (2021)
Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network. CoRR (2020)
Or Patashnik, Dov Danon, Hao Zhang, Daniel Cohen-Or
BalaGAN: Image Translation Between Imbalanced Domains via Cross-Modal Transfer. CoRR (2020)
Manyi Li, Hao Zhang
IM-Net: Learning Detail Disentangled Implicit Fields from Single Images. CoRR (2020)
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) (2020)
Kangxue Yin, Zhiqin Chen, Siddhartha Chaudhuri, Matthew Fisher, Vladimir G. Kim, Hao Zhang
COALESCE: Component Assembly by Learning to Synthesize Connections. CoRR (2020)
Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang
Computational LEGO Technic Design. CoRR (2020)
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) (2020)
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)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CVPR (2020)
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 (2020)
Ruizhen Hu, Zihao Yan, Jingwen Zhang, Oliver van Kaick, Ariel Shamir, Hao Zhang, Hui Huang
Predictive and Generative Neural Networks for Object Functionality. CoRR (2020)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR (2020)
Yiming Qian, Hao Zhang, Yasutaka Furukawa
Roof-GAN: Learning to Generate Roof Geometry and Relations for Residential Houses. CoRR (2020)
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) (2020)
Ruizhen Hu, Zeyu Huang, Yuhan Tang, Oliver van Kaick, Hao Zhang, Hui Huang
Graph2Plan: Learning Floorplan Generation from Layout Graphs. CoRR (2020)
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 (2020)
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 (2020)
Ruizhen Hu, Juzhan Xu, Bin Chen, Minglun Gong, Hao Zhang, Hui Huang
TAP-Net: Transport-and-Pack using Reinforcement Learning. CoRR (2020)
Ali Mahdavi-Amiri, Fenggen Yu, Haisen Zhao, Adriana Schulz, Hao Zhang
VDAC: volume decompose-and-carve for subtractive manufacturing. ACM Trans. Graph. 39 (6) (2020)
Rinon Gal, Amit Bermano, Hao Zhang, Daniel Cohen-Or
MRGAN: Multi-Rooted 3D Shape Generation with Unsupervised Part Disentanglement. CoRR (2020)
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CVPR (2020)
Xiaogang Wang, Yuelang Xu, Kai Xu, Andrea Tagliasacchi, Bin Zhou, Ali Mahdavi-Amiri, Hao Zhang
PIE-NET: Parametric Inference of Point Cloud Edges. CoRR (2020)
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 (2020)
Yuan Gan, Yan Zhang, Zhengxing Sun, Hao Zhang
Qualitative photo collage by quartet analysis and active learning. Comput. Graph. 88 (2020)
Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang
LayoutGMN: Neural Graph Matching for Structural Layout Similarity. CoRR (2020)
Lin Gao, Tong Wu, Yu-Jie Yuan, Ming-Xian Lin, Yu-Kun Lai, Hao Zhang
TM-NET: Deep Generative Networks for Textured Meshes. CoRR (2020)
Yuan Gan, Yan Zhang, Zhengxing Sun, Hao Zhang
Qualitative Organization of Photo Collections via Quartet Analysis and Active Learning. Graphics Interface (2019)
Pengfei Xu, Jianqiang Ding, Hao Zhang, Hui Huang
Discernible image mosaic with edge-aware adaptive tiles. Comput. Vis. Media 5 (1) (2019)
Kangxue Yin, Zhiqin Chen, Hui Huang, Daniel Cohen-Or, Hao Zhang
LOGAN: unpaired shape transform in latent overcomplete space. ACM Trans. Graph. 38 (6) (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. CoRR (2019)
Rundi Wu, Yixin Zhuang, Kai Xu, Hao Zhang, Baoquan Chen
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes. CoRR (2019)
Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or
CompoNet: Learning to Generate the Unseen by Part Synthesis and Composition. ICCV (2019)
Zhiqin Chen, Kangxue Yin, Matthew Fisher, Siddhartha Chaudhuri, Hao Zhang
BAE-NET: Branched Autoencoder for Shape Co-Segmentation. ICCV (2019)
Zhiqin Chen, Andrea Tagliasacchi, Hao Zhang
BSP-Net: Generating Compact Meshes via Binary Space Partitioning. CoRR (2019)
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 (2019)
Hao Xu, Ka-Hei Hui, Chi-Wing Fu, Hao Zhang
Computational LEGO technic design. ACM Trans. Graph. 38 (6) (2019)
Zhiqin Chen, Hao Zhang
Learning Implicit Fields for Generative Shape Modeling. CVPR (2019)
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) (2019)
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) (2019)
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) (2019)
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 (2019)
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) (2018)
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 (2018)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
SCORES: Shape Composition with Recursive Substructure Priors. CoRR (2018)
Nadav Schor, Oren Katzir, Hao Zhang, Daniel Cohen-Or
Learning to Generate the "Unseen" via Part Synthesis and Composition. CoRR (2018)
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) (2018)
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)
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Renjiao Yi, Hao Zhang
SCORES: shape composition with recursive substructure priors. ACM Trans. Graph. 37 (6) (2018)
Wallace P. Lira, Chi-Wing Fu, Hao Zhang
Fabricable eulerian wires for 3D shape abstraction. ACM Trans. Graph. 37 (6) (2018)
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) (2018)
Zhiqin Chen, Hao Zhang
Learning Implicit Fields for Generative Shape Modeling. CoRR (2018)
Lili Wan, Changqing Zou, Hao Zhang
Full and partial shape similarity through sparse descriptor reconstruction. Vis. Comput. 33 (12) (2017)
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) (2017)
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) (2017)
Jun Li, Kai Xu, Siddhartha Chaudhuri, Ersin Yumer, Hao Zhang, Leonidas J. Guibas
GRASS: Generative Recursive Autoencoders for Shape Structures. CoRR (2017)
Bedrich Benes, David J. Kasik, Wilmot Li, Hao Zhang
Computational Design and Fabrication. IEEE Computer Graphics and Applications 37 (3) (2017)
Zili Yi, Hao Zhang, Ping Tan, Minglun Gong
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation. CoRR (2017)
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)
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) (2016)
Rui Ma, Honghua Li, Changqing Zou, Zicheng Liao, Xin Tong, Hao Zhang
Action-driven 3D indoor scene evolution. ACM Trans. Graph. 35 (6) (2016)
Hui Huang, Dani Lischinski, Hao Zhang, Minglun Gong, Marc Christie, Daniel Cohen-Or
Trip Synopsis: 60km in 60sec. Comput. Graph. Forum 35 (7) (2016)
Daniel Cohen-Or, Hao Zhang
Erratum to: From inspired modeling to creative modeling. Vis. Comput. 32 (11) (2016)
Daniel Cohen-Or, Hao Zhang
From inspired modeling to creative modeling. Vis. Comput. 32 (1) (2016)
Changqing Zou, Junjie Cao, Warunika Ranaweera, Ibraheem Alhashim, Ping Tan, Alla Sheffer, Hao Zhang
Legible compact calligrams. ACM Trans. Graph. 35 (4) (2016)
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) (2016)
Yang Zhou, Kangxue Yin, Hui Huang, Hao Zhang, Minglun Gong, Daniel Cohen-Or
Generalized cylinder decomposition. ACM Trans. Graph. 34 (6) (2015)
Honghua Li, Ruizhen Hu, Ibraheem Alhashim, Hao Zhang
Foldabilizing furniture. ACM Trans. Graph. 34 (4) (2015)
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) (2015)
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) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Hao Zhang