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吴子朝

职称:副教授

毕业院校:浙江大学

邮件:wuzizhao@hdu.edu.cn

办公地点: 10-322

职务:

研究方向: 人工智能,计算机图形学

个人简介

杭州电子科技大学数字媒体学院副教授,杭电智能媒体计算研究所副所长。

浙江大学计算机图形学国家重点实验室博士,荷兰格罗宁根大学访问学者。
IEEE/CCF/CSIG 会员,中国图像图形学会三维视觉专委会委员,中国图像图形学会智能图形专委会委员 。

发表包括CVPR/ACM MM/TVCG/TMM/TKDE/CGF/GM/CVM/IS/IJIS/CGA/C&G等领域内著名期刊和会议论文60余篇。

担任SIGA/CVPR/ECCV/ICCV/TMM/ACM MM/NeurIPS/PR/NC/SR/C&g等审稿专家。担任多个知名国际会议的Session Chair.

主持主持国家自然科学基金项目浙江省自然科学基金项目,国家重点实验室开放课题等。

参与国家重点研发项目(1项), 工信部重大专项(2项)、浙江省重点研发计划(3项)、国家自然科学基金面上项目(3项)等多个项目。

成果获中国纺织行业联合会优秀奖,中国商业联合会科技进步一等奖。


主讲课程:3D游戏开发 (指导学生已有30余人在腾讯游戏、网易游戏公司工作)

担任:杭电-网易“游戏研发”产学研基地负责人

承担:网易游戏教育部产学研项目,腾讯游戏教育部产学研项目、搜狐畅游游戏教育部产学研项目

指导学生竞赛获浙江省互联网省赛银奖,立项全国大学生挑战杯、浙江省新苗计划项目等10余项。


教育经历


工作经历
社会职务
研究领域
教学与课程

主讲课程:

三维游戏开发(腾讯游戏 & 网易游戏 & 搜狐畅游 教育部产学研合作课程)

综合课程设计(主题:虚拟人 & 情感分析 & 智能角色)


指导学生竞赛

–2022年 新苗计划:凤鸾——虚拟偶像系统调研与运用  (陆卓凡等人)

–2022年 国家级大创:智能面料匹配终端  (罗钇凯等人)

–2023年 互联网+大赛 省赛银奖:智能面料匹配终端 (罗钇凯等人)

–2023年 新苗计划:  多角度虚拟试穿及服装编辑系统的研制与应用 (柳思雨等人)

–2023年 教育部产业研协同育人项目(腾讯游戏):探云录----一款古风互动叙事游戏设计 (罗钇凯等人)

–2023年 国家级大学生挑战杯:臻鸣科技-----AI时尚内容生成系统(邬臻林等人)

-2024年 浙江省挑战杯大学生创业计划竞赛:《“衣”脉相承--“民族风·新中式”AI定制服饰探索者》铜奖(朱云鹏等人)

-2024年 浙江省挑战杯大学生创业计划竞赛:《数纺科技--面料交易数字化平台引领者》铜奖(林璐凝等人)

–2024年 国家级大学生挑战杯:基于深度学习的眼脉络膜分割及智慧诊察系统 (陈一鸣等人)

–2024年 国家级大学生挑战杯:智绘创型--智能三维包装模型生成系统研制与应用(季凯珊等人)


毕业设计学生:

2024届:罗*凯(保研浙大),俞*杨(保研南航),朱*洋(中科大研),周*(杭电研),卢*言(伯明翰大学研),沈*承(中移动嘉兴)

2023届:陆*凡(北邮),*浩(北师大),章*杨(哈工大深圳)赵*杰(华科),戎*攀(字节),凌*晨(太原理工大学),倪*超(字节)

2022届:陈*睿(网易雷火特效引擎),柯*(网易雷火),毛*远(杭电研),万*承(英国UCL研),夏*潇(上海莉莉丝)

2021届:罗*涵(腾讯),唐*成(网易),陈*胜(腾讯游戏),钟*翔(网易音乐作曲),田*江(网易游戏策划)沈*迪(北邮研,第一名)


横向科研
纵向科研

[1].主持浙江省自然科学基金公益计划项目舞台场景人体姿态识别与重建技术研究及应用2021.1-2023.1210万元).

[2].主持国家自然科学基金委青年基金图像数据驱动的三维模型集标注技术研究2017.1-2019.1224万元)

[3].主持浙江大学CAD&CG国家重点实验室开放基金“联合分析图像与三维模型2018.1-2018.122万元)

[4].主持浙江大学CAD&CG国家重点实验室开放基金“文本引导的 3D 内容生成关键技术研究2024.1-2025.122万元)

[4].参与国家自然科学基金委面上项目视频事件驱动的深度序列学习与多模态时空注意融合” 2019.1-2022.1263万元)

[5].参与国家自然科学基金委面上项目面向产品敏捷开发的多模态设计数据利用方法研究2020.1-2023.1259万元)



论文

详细论文见个人主页:http://zizhao.me

(CCF-A) Doodle Your Motion: Sketch-Guided Human Motion Generation

Zizhao Wu, Qin Wang, Xinyang Zheng, Jianglei Ye, Ping Yang, Yunhai Wang, Yigang Wang

2024 IEEE TVCG


(CCF-A) SPAC-Net: Rethinking Point Cloud Completion with Structural Prior

Zizhao Wu, Jian Shi, Xuan Deng, Cheng Zhang, Genfu Yang, Ming Zeng and Yunhai Wang

2024 IEEE TVCG


(CCF-A) 3D Question Answering with Scene Graph Reasoning

Zizhao Wu, Haohan Li, Gongyi Chen, Zhou Yu, Xiaoling Gu, Yigang Wang

2024 ACM Multimedia


(CCF-C) Innovative AI techniques for photorealistic 3D clothed human reconstruction from monocular images or videos: a survey

Shuo Yang, Xiaoling Gu, Zhenzhong Kuang, Feiwei Qin, Zizhao Wu

2024 The Visual Computer


(CCF-C) Slot-VTON: Subject-Driven Vritual Try-On with Slot Attention

Jianglei Ye, Yigang Wang, Fengmao Xie, Qin Wang, Xiaoling Gu, Zizhao Wu

2024 The Visual Computer


(CCF-C) Semantic-aware hyper-space deformable neural radiance fields for facial avatar reconstruction

Kaixin Jin, Xiaoling Gu, Zimeng Wang, Zhenzhong Kuang,Zizhao Wu , Min Tan, Jun Yu

2024 Pattern Recognition Letters


(CCF-B) KF-VTON: Keypoints-Driven Flow Based Virtual Try-On Network

Zizhao Wu; Siyu Liu; Peiyan Lu; Yongkang Wong; Xiaoling Gu; Mohan S. Kankanhalli

2024 ACM Transactions on Multimedia Computing Communications and Applications


(CCF-B) Recurrent Appearance Flow for Occlusion-Free Virtual Try-On

Xiaoling Gu, Junkai Zhu; Yongkang Wong; Zizhao Wu; Jun Yu; Jianping Fan; Mohan S. Kankanhalli

2024 ACM Transactions on Multimedia Computing Communications and Applications


(JCR-1) Multi2Human: Controllable Human Image Generation with Multimodal Controls

Xiaoling Gu, Shengwenzhuo Xu; Yongkang Wong; Zizhao Wu; Jun Yu; Jianping Fan; Mohan S. Kankanhalli

2024 Neurocomputing


(JCR-1) PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding

Honggu Zhou, Xiaogang Peng, Yikai Luo, Zizhao Wu*

2024 Multimedia Systems


(JCR-1) BoostPoint: Boosting Point Cloud Backbones with Image Pre-Training for 3D Understanding

Honggu Zhou, Yakai Zhang, Haohan Li, Xiaoling Gu,and Ming Zeng, Zizhao Wu*

2024 Computational Visual Media Journal (CVMJ)


(CCF-C) Contrastive disentanglement for self-supervised motion style transfer

Zizhao Wu*, Siyuan Mao, Cheng Zhang, Yigang Wang, Ming Zeng

2024 Multimedia Tools and Applications


(CCF-B) PU-GAT: Point Cloud Upsampling with Graph Attention Network

Xuan Deng, Cheng Zhang, Jian Shi, Zizhao Wu*

2023 Graphical Models


(CCF-A)  Xiaogang Peng, Siyuan Mao, Zizhao Wu*: Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting. CVPR 2023: 17121-17130

[2]. Xuan Deng , Cheng Zhang, Jian Shi, Zizhao Wu*: PU-GAT: Point cloud upsampling with graph attention network. Graph. Model. 130: 101201 (2023)

[3]. Ping Yang, Qing Wang, Hao Chen, Zizhao Wu*: Position-aware spatio-temporal graph convolutional networks for skeleton-based action recognition. IET Comput. Vis. 17(7): 844-854 (2023)

[4]. Fei Lin, Shengqiang Liu, Cong Zhang, Jin Fan, Zizhao Wu: StyleBERT: Text-audio sentiment analysis with Bi-directional Style Enhancement. Inf. Syst. 114: 102147 (2023)

[5]. Simin Kou, Xuesong Yin, Yigang Wang, Songcan Chen, Tieming Chen, Zizhao Wu:

Structure-Aware Subspace Clustering. IEEE Trans. Knowl. Data Eng. 35(10): 10569-10582 (2023)

[6]. Zizhao Wu*, Siyuan Mao, Cheng Zhang et al. Contrastive disentanglement for self-supervised motion style transfer. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-18238-4

[7]. Haoran Wang, Jiaxin Li, Alexandru Telea, Jiri Kosinka, Zizhao Wu*. USTNet: Unsupervised Shape-to-Shape Translation via Disentangled Representations[J].  Computer Graphics Forum, 2022, 41,7:  1-10.

[8]. Cheng Zhang, Haocheng Wan, Xinyi Shen, Zizhao Wu*: PatchFormer: An Efficient Point Transformer with Patch Attention. CVPR 2022: 11789-11798

[9]. Cheng Zhang, Haocheng Wan, Xinyi Shen, Zizhao Wu*: PVT: Point-voxel transformer for point cloud learning. Int. J. Intell. Syst. 37(12): 11985-12008 (2022)

[10]. Cheng Zhang, Hao Chen, Haocheng Wan, Ping Yang, Zizhao Wu*: Graph-PBN: Graph-based parallel branch network for efficient point cloud learning. Graph. Model. 119: 101120 (2022)

[11]. Ming Zeng, Yinglin Zheng, Jinpeng Lin, Xuan Cheng, Jing Liao, Zizhao Wu, Wenjin Deng:

Controllable Facial Caricaturization With Localized Deformation and Personalized Semantic Attentions. IEEE Trans. Multim. 24: 4041-4053 (2022)

[12]. Xiao Huang and Yigang Wang and Zizhao Wu. An Automatic Texture Generation Algorithm for 3D Shapes Based on cGAN. J. Phys.: Conf. Ser. 1335 012006. (2019)

[13]. Xuan Cheng, Ming Zeng, Jinpeng Lin, Zizhao Wu, Xinguo Liu: Efficient L0 resampling of point sets. Comput. Aided Geom. Des. 75 (2019)

[14]. Feiwei Qin, Haibin Xia, Yong Peng, Zizhao Wu: Integrated Modeling, Simulation, and Visualization for Nanomaterials. Complex. 2018: 5083247:1-5083247:16 (2018)

[15]. Zizhao Wu, Ming Zeng, Feiwei Qin, Yigang Wang, Jirí Kosinka: Active 3-D Shape Cosegmentation With Graph Convolutional Networks. IEEE Computer Graphics and Applications 39(2): 77-88 (2019)

[16]. Zizhao Wu, Ruyang Shou, Yunhai Wang, Xinguo Liu:Interactive shape co-segmentation via label propagation. Comput. Graph. 38: 248-254 (2014)

[17]. Zizhao Wu, Yunhai Wang, Ruyang Shou, Baoquan Chen, Xinguo Liu:Unsupervised co-segmentation of 3D shapes via affinity aggregation spectral clustering. Comput. Graph. 37(6): 628-637 (2013)

[18]. Zizhao Wu, Xiaoyan Cai, Xinguo Liu: Structure Preserving Mesh Parameterization. CAD/Graphics 2011: 124-129

[19]. Zizhao Wu, Ruyang Shou, Xinguo Liu: A Unified Spectral Embedding for Shape Correspondence. GRAPP/IVAPP 2013: 94-99

[20]. Zizhao Wu, Long Zhang, Zixu Yan, Fang Lu, Yigang Wang: Interactive optimization of near-isometric shape correspondence. VRCAI 2014: 43-46
[21]. Zizhao Wu, Yunhui Zhang, Ming Zeng, Feiwei Qin, Yigang Wang: Joint analysis of shapes and images via deep domain adaptation. Comput. Graph. 70: 140-147 (2018)

[22]. Zizhao Wu*, Xingyu Chen, Lingyun Yu, Alexandru C. Telea, Jiri Kosinka:

Co-skeletons: Consistent curve skeletons for shape families. Comput. Graph. 90: 62-72 (2020)

[23]. Shuncheng Du, Yigang Wang, Zizhao Wu*: Multi-human Parsing with Pose and Boundary Guidance. PRCV (1) 2020: 481-492

[24]. Wenjin Deng, Yinglin Zheng, Hui Li, Xianwei Wang, Zizhao Wu, Ming Zeng:

VH3D-LSFM: Video-Based Human 3D Pose Estimation with Long-Term and Short-Term Pose Fusion Mechanism. PRCV (1) 2020: 589-601


著作
专利成果

[1]. 一种基于深度强化学习的机器自主决策方法,发明专利,专利授权,201810796645.9,CN109190751B

[2]. 一种基于图卷积神经网络的形状协同分割方法,发明专利,专利申请,201810797764.6

[3]. 一种基于多标签传播的三维模型标注方法,发明专利,专利申请,201810797793.2

[4]. 一种基于级联几何上下文神经网络的双目视差估计方法,发明专利,专利授权,201811038173.7,CN 109472819 B

[5]. 基于深度领域适应的图像和模型联合分析方法,发明专利,专利申请,201810797133.4

[6]. 一种基于图像和雷达数据的舞台交互系统,发明专利,专利申请,202011609683.2

[7]. 基于多方面情绪传染的人群逃慌仿真方法,发明专利,专利申请,202110340252.9

[8]. 一种基于深度学习和姿态估计的舞蹈动作评价系统,发明专利,专利申请,202110341970.8

[9]. 一种基于原型对比学习的运动分析方法,发明专利,专利申请,202110390222.9

[10]. 一种基于光度立体的面料材质识别系统及方法,发明专利,专利申请,202111074359.X

[11]. 一种针对视频的哈他瑜伽动作可化分析系统,发明专利,专利申请,202111107956.8

[12]. 一种基于标准视频的舞蹈动作可化分析系统,发明专利,专利申请,202111112278.4


荣誉及奖励
软件成果