About

Hi,我是章坚,目前就职于江苏移动的人工智能团队。在此之前,我曾就职于英特尔和阿里,在英特尔,我担任人工智能构架工程师。主要负责基于分布式框架Ray的大语言模型预训练与微调。在阿里,我担任高级算法工程师,研究方向是:基于神经渲染的3D重建技术。作为Object Drawer项目的主要成员,负责重建算法的开发与优化。

我在美丽的六朝古都南京,完成了本科以及研究生的学业,我遇见了“止于至善”的东南大学以及“诚朴雄伟”的南京大学。东大电子学院不仅有着严格的学业课程要求,同时还给我们创造了良好的工程技术条件。在南京大学ViSG实验室,我完成了“高精度语义地图的重建”项目,主要包含:基于激光雷达的位姿估计、场景重建以及场景理解。非常感谢周博于博以及都教授的悉心指导。此外,我曾经在网易游戏实习,负责体素化场景的编辑与渲染。

个人的研究兴趣包括:深度学习、计算机视觉、计算机图形学以及机器人技术。此外,我一直保持着对技术的热情,不断学习并且跟进行最新的技术。

论文

  • Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation
    Accepted to ECCV, 2022 [project]
    Jian Zhang*, Jinchi Huang*, Bowen Cai*, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang, Huan Fu#
  • Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation
    Accepted to CVPR, 2022 [PDF]
    Jian Zhang*, Yuanqing Zhang*, Huan Fu#, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, and Xing Tang
  • Reconstruction of High-Precision Semantic Map [project]
    Accepted to SENSOR, 2020
    Xinyuan Tu, Jian Zhang, Runhao Luo, Kai Wang, Qingji Zeng, Yu Zhou *, Yao Yu and Sidan Du

项目

  • SDFMap: A Real-time 3D Semantic Mapping for LiDAR Point Cloud [PDF] [Video]
    Jian Zhang*, Runhao Luo∗, Conghui Geng, Pei Li, Yu Zhou, Yao Yu, Sidan Du

    Nanjing University, ViSG Lab

  • Real-time 3D Reconstruction based on LiDAR Point Cloud [Video]
    Nanjing University, ViSG Lab
  • Object Drawer, a high-performing end-to-end 3D object reconstruction system. [link]
    Alibaba Group, Tao Technology Department

经历

  • Intel, Artificial Intelligence and Analytics (AIA) Department
    2022.07-Now
  • Alibaba, Tao Technology Department
    2020.06-2022.07
  • D5 Render, Rendering Engine Group (Internship)
    2019.10-2020.04
  • NetEase Games, Game Engine Group (Summer Internship)
    2019.06-2019.08

I’m Zhang Jian(章坚), I graduated from Southeast University with a bachelor’s degree, and got my master degree from Nanjing University.

Previously, I was a senior algorithm engineer in Alibaba and focused on photo-realistic 3d reconstruction based on neural rendering. I was a member of object drawer project, which provides high-quality, low-cost 3d models for Taobao.

In addition, I was an intern at NetEase Games, responsible for editing and rendering of voxelized scenes. I also interned at D5 Render as a rendering engine engineer. During my bachelor degree, I mainly studied lidar-based pose estimation, scene reconstruction and understanding. My research interests include deep learning, computer vision, computer graphics and robotics. I always maintain a passion for technology, keep learning and catch up with latest technology.

Publications

  • Digging into Radiance Grid for Real-Time View Synthesis with Detail Preservation
    Accepted to ECCV, 2022 [project]
    Jian Zhang*, Jinchi Huang*, Bowen Cai*, Mingming Gong, Chaohui Wang, Jiaming Wang, Hongchen Luo, Rongfei Jia, Binqiang Zhao, Xing Tang, Huan Fu#
  • Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation
    Accepted to CVPR, 2022 [PDF]
    Jian Zhang*, Yuanqing Zhang*, Huan Fu#, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, and Xing Tang
  • Reconstruction of High-Precision Semantic Map [project]
    Accepted to SENSOR, 2020
    Xinyuan Tu, Jian Zhang, Runhao Luo, Kai Wang, Qingji Zeng, Yu Zhou *, Yao Yu and Sidan Du

Project

  • SDFMap: A Real-time 3D Semantic Mapping for LiDAR Point Cloud [PDF] [Video]
    Jian Zhang*, Runhao Luo∗, Conghui Geng, Pei Li, Yu Zhou, Yao Yu, Sidan Du

    Nanjing University, ViSG Lab

  • Real-time 3D Reconstruction based on LiDAR Point Cloud [Video]
    Nanjing University, ViSG Lab
  • Object Drawer, a high-performing end-to-end 3D object reconstruction system. [link]
    Alibaba Group, Tao Technology Department

Experience

  • Alibaba Group, Tao Technology Department
    2020.06-2022.07
  • D5 Render, Rendering Engine Group (Internship)
    2019.10-2020.04
  • NetEase Games, Game Engine Group (Summer Internship)
    2019.06-2019.08