王兴涛

基本信息 科研 新建主栏目 基本信息 名称 王兴涛，男，山东人，汉族。工学博士，哈尔滨工业大学(哈工大)计算学部，智能接口与人机交互技术研究中心。 主要研究方向包括点云/Mesh去噪、实景三维重建、点云补全、全景视觉等。近年来参与多项国家级研究课题，包括国家重点研发项目、国家自然科学基金等。在国内外重要学术期刊和会议上发表学术论文十余篇。 工作经历 标题 工作单位 哈尔滨工业大学计算学部 职位/职称 副研究员 起讫时间 2023.11-至今 简单介绍 标题 工作单位 哈尔滨工业大学计算学部 职位/职称 助理研究员 起讫时间 2023.03-2023.11 简单介绍 教育经历 标题 起讫时间 2016.09-2022.12 所学专业 计算机应用技术 学习机构 哈尔滨工业大学计算学部 学历 博士 简单介绍 标题 起讫时间 2012.09-2016.07 所学专业 数学与应用数学 学习机构 哈尔滨工业大学理学院 学历 学士 简单介绍 研究领域 名称 1、点云/Mesh去噪 2、点云补全 3、点云语义分割/目标检测 4、全景视频压缩 5、实景三维重建 6、3D AIGC 团队成员 名称 赵德斌：视频编码与传输、计算机视觉、机器学习 范晓鹏：视频编码、数字孪生、计算机视觉、智能机器人、元宇宙 刘绍辉：计算机视觉、智能运维 万照麟：图像/视频质量评价 崔文学：图像/视频编码、计算机视觉、机器学习 论文发表 名称 [1] Xingtao Wang, Hongliang Wei, Xiaopeng Fan*, and Debin Zhao, Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024. Newly Accepted. (CCF A) [2] Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu, Xinwei Gao, and Debin Zhao*, Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2024. Newly Accepted. (CCF B) [3] Wenxue Cui, Xingtao Wang, Xiaopeng Fan, Shaohui Liu*, Chen Ma, and Debin Zhao, G2-DUN: Gradient Guided Deep Unfolding Network for Image Compressive Sensing, Proceedings of the 31st ACM International Conference on Multimedia (MM), 2023: 7933-7942. (CCF A) [4] Wenrui Li, XiLe Zhao, Zhengyu Ma, Xingtao Wang, Xiaopeng Fan, and Yonghong Tian, Motion-Decoupled Spiking Transformer for Audio-Visual Zero-Shot Learning, Proceedings of the 31st ACM International Conference on Multimedia (MM), 2023. (CCF A) [5] Hengyu Man, Xingtao Wang, Riyu Lu, and Xiaopeng Fan*, Meta-ILF: In-Loop Filter with Customized Weights For VVC Intra Coding, 2023 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 2023: 696-701. (CCF B) [6] Yong Wang, Hengyu Man, Xingtao Wang*, and Xiaopeng Fan, Multi-stream-based Low-latency Viewport Switching Scheme for Panoramic Videos, The 6th Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. (CCF C) [7] Chaopeng Zhang, Xingtao Wang*, Ruiqin Xiong, Xiaopeng Fan, and Debin Zhao, Local-Global Dynamic Filtering Network for Video Super-Resolution, IEEE Transactions on Computational Imaging (TCI), 2023. (中科院二区) [8] Xingtao Wang, Wenxue Cui, Ruiqin Xiong, Xiaopeng Fan*, and Debin Zhao, FCNet: Learning Noise-free Features for Point Cloud Denoising, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2023. (中科院一区Top期刊) [9] Xingtao Wang, Xiaopeng Fan*, and Debin Zhao, PointFilterNet: A filtering network for point cloud denoising, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 33.3 (2022): 1276-1290. (中科院一区Top期刊) [10] Zhibo Liang, Shaohui Liu, Wuzhen Shi, Xingtao Wang, and Jiang, Feng, Small Object Recognition Using a Spatio-Temporal Neural Network [C]. IEEE International Conference on Multimedia and Expo (ICME), 2021. (CCF B) [11] Xingtao Wang, Xiaopeng Fan*, and Debin Zhao, A semantic labeling framework for ALS point clouds based on discretization and CNN, 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP), IEEE, 2020: 58-61. [12] Xingtao Wang, Xiaopeng Fan*, and Yachun Wang, Learning Adaptive Receptive Fields for Point Clouds, 2020 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), IEEE, 2020: 131-134.