Tsinghua University BNRist

Email:

taijiang@tsinghua.edu.cn.

Addr.:

Rm. 9-207, East Main Bldg., Tsinghua University, Beijing 100084, China.


 

ABOUT ME

 

I am an assistant researcher of the Graphics and Geometric Computing Group in the Department of Computer Science and Technology at Tsinghua University, Beijing, P. R. China.

 

 

I received my bachelor's degree and Ph.D., mentored by Prof. Shi-Min Hu, in Computer Science and Technology from Tsinghua University in 2011 and 2016, respectively.

 

 

My research interests are in computer graphics. Currently I'm working on:

-visual media learning

-SLAM and 3D reconstruction

-human robot interaction.

 


 

PUBLICATIONS

 

PCT: Point Cloud Transformer

 

Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu.

 

Computational Viusal Media (CVM), 2021, Preprint [doi: 10.1007/s41095-021-0229-5].

 

PAPER   Code  

 

Supervoxel Convolution for Online 3D Semantic Segmentation

 

Shi-Sheng Huang, Ze-Yu Ma, Tai-Jiang Mu, Hongbo Fu, Shi-Min Hu.

 

ACM Transactions on Graphics (TOG), 2021, to appear.

 

PROJECT   PAPER   Video   Supp  

 

Accurate Dynamic SLAM Using CRF-Based Long-Term Consistency

 

Zheng-Jun Du, Shi-Sheng Huang, Tai-Jiang Mu*, Qunhe Zhao, Ralph R. Martin and Kun Xu.

 

IEEE Transactions on Visualization and Computer Graphics (TVCG), 2020, Preprint [doi: 10.1109/TVCG.2020.3028218].

 

PAPER[CVM2020 Version]   Video   Supp   Code

 

Alternating ConvLSTM: Learning Force Propagation with Alternate State Updates

 

Congyue Deng, Tai-Jiang Mu and Shi-Min Hu.

 

arXiv[2006.07818], 2020.

 

PAPER  

 

Detecting Human-object Interactions with Multi-level Pairwise Feature Network

 

Hanchao Liu, Tai-Jiang Mu* and Xiaolei Huang.

 

Computational Visual Media, 2020, Preprint [doi: 10.1007/s41095-020-0188-2].

 

PAPER  

 

A new dataset of dog breed images and a benchmark for finegrained classification

 

Ding-Nan Zou, Song-Hai Zhang, Tai-Jiang Mu and Ming Zhang.

 

Computational Visual Media, 6(4): 477-487, 2020.

 

PAPER    Dataset  

 

ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings

 

Jia-Hui Huang, Sheng Yang, Tai-Jiang Mu and Shi-Min Hu.

 

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2168-2177, 2020.

 

PAPER  

 

WallNet: Reconstructing General Room Layouts from RGB Images

 

Jiahui Huang, Zheng-Fei Kuang, Fang-Lue Zhang and Tai-Jiang Mu*.

 

Graphical Models, 111, 101076, 2020.

 

PAPER  

 

S4Net: Single Stage Salient-Instance Segmentation

 

Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang and Shi-Min Hu.

 

Computational Visual Media, 6(2), 191-204, 2020.

 

PAPER  [Earlier CVPR 2019 version]   PROJECT   Code

 

Lidar-Monocular Visual Odometry using Point and Line Features

 

Shi-Sheng Huang, Ze-Yu Ma, Tai-Jiang Mu, Hongbo Fu and Shi-Min Hu.

 

Proceedings of the International Conference on Robotics and Automation (ICRA), 1091-1097, 2020.

 

PAPER   Video  

 

Lane Detection: A Survey with New Results

 

Dun Liang, Yuan-Chen Guo, Shao-Kui Zhang, Tai-Jiang Mu* and Xiaolei Huang.

 

Journal of Computer Science and Technology, 35(3): 493-505, 2020.

 

PAPER   PROJECT

 

SpinNet: Spinning convolutional network for lane boundary detection

 

Ruochen Fan, Xuanrun Wang, Qibin Hou, Hanchao Liu and Tai-Jiang Mu*.

 

Computational Visual Media, 5(4), 417-428, 2019.

 

PAPER  

 

S4Net: Single Stage Salient-Instance Segmentation

 

Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang and Shi-Min Hu.

 

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6103-6112, 2019.

 

PAPER   PROJECT   Code

 

Deep Point-based Scene Labeling with Depth Mapping and Geometric Patch Feature Encoding

 

Jun-Xiong Cai, Tai-Jiang Mu*, Yu-Kun Lai and Shi-Min Hu.

 

Graphical Models, 104, 101033, 2019.

 

PAPER  

 

A Large Chinese Text Dataset in the Wild

 

Tai-Ling Yuan, Zhe Zhu, Kun Xu, Cheng-Jun Li, Tai-Jiang Mu* and Shi-Min Hu.

 

Journal of Computer Science and Technology, 34(3), 509-521, 2019.

 

PAPER   PROJECT

 

Synthesizing Robot Programs with Interactive Tutor Mode

 

Hao Li, Yu-Ping Wang and Tai-Jiang Mu.

 

International Journal of Automation and Computing, 16(4), 462-474, 2019.

 

PAPER  

 

Deep video stabilization using adversarial networks

 

Sen-Zhe Xu, Jun Hu, Miao Wang, Tai-Jiang Mu and Shi-Min Hu.

 

Computer Graphics Forum, 37(7), 267-276, 2018.

 

PAPER  

 

VGPN: Voice-Guided Pointing Robot Navigation for Humans

 

Jun Hu, Zhongyu Jiang, Xionghao Ding, Taijiang Mu* and Peter Hall.

 

IEEE International Conference on Robotics and Biomimetics (ROBIO), 1107-1112, 2018.

 

PAPER  

 

Knowledge graph construction with structure and parameter learning for indoor scene design

 

Yuan Liang, Fei Xu, Song-Hai Zhang, Yu-Kun Lai and Taijiang Mu*.

 

Computational Visual Media, 4(2), 123-137, 2018.

 

PAPER  

 

Nerva: Automated application synthesis for humanoid robot from user natural language description

 

Hao Li, Yu-Ping Wang and Tai-Jiang Mu*.

 

Communications in Information and Systems, 17(1), 45-64, 2017.

 

PAPER  

 

Image-based clothes changing system

 

Zhao-Heng Zheng, Hao-Tian Zhang, Fang-Lue Zhang and Tai-Jiang Mu.

 

Computational Visual Media, 3(4), 337-347, 2017.

 

PAPER  

 

A survey on multiview video synthesis and editing

 

Shaoping Lu, Taijiang Mu*, and Songhai Zhang.

 

Tsinghua Science and Technology, 21(6), 678-695, 2016.

 

PAPER  

 

A Response Time Model for Abrupt Changes in Binocular Disparity

 

Tai-Jiang Mu, Jia-Jia Sun, Ralph R. Martin, and Shi-Min Hu.

 

The Visual Computer 31(5), 675-687, 2015.

 

PAPER   BIBTEX

 

Stereoscopic Image Completion and Depth Recovery

 

Tai-Jiang Mu, Ju-Hong Wang, Song-Pei Du, and Shi-Min Hu.

 

The Visual Computer, 30(6-8), 833-843, 2014.

 

PAPER   BIBTEX

 


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