Xuecheng Nie

NIE Xuecheng 聂学成

Currently, I am a Research Scientist in YiTu Technology. Before joining YiTu, I obtained my Ph.D. degree in 2020 at the National University of Singapore, advised by Assistant Professor FENG Jiashi and Assoociate Professor YAN Shuicheng. I achieved both my bachelor and master degrees from Tianjin University under the supervision of Professor FENG Wei. In summer 2014, I did as a research assistant at the City University of Hong Kong with Professor LIU Zhiqiang.

Research Interests

Computer Vision, Deep Learning, Human Pose Estimation, Action Recognition.

CV niexuecheng AT u DOT nus DOT edu Google Scholar

News

One paper is accepted in CVPR 2021.
Winner of ACM MM'20 HiEve Challenge.
One paper is accepted in NeurIPS 2020.
One paper is accepted in ECCV 2020.

Publications

2021

Body Meshes as Points
Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[PDF] [Bibtex]

2020

Inference stage optimization for cross-scenario 3d human pose estimation
Jianfeng Zhang, Xuecheng Nie, Jiashi Feng
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
[PDF] [Bibtex]

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition
Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng
European Conference on Computer Vision (ECCV), 2020
[PDF] [Bibtex]

2019

Dynamic Kernel Distillation for Efficient Pose Estimation in Videos
Xuecheng Nie, Yuncheng Li, Linjie Luo, Ning Zhang, Jiashi Feng
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF] [Bibtex] [Codes will be released]

Single-stage Multi-person Pose Machines
Xuecheng Nie, Jianfeng Zhang, Shuicheng Yan, Jiashi Feng
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF] [Bibtex] [Codes will be released]

Learning to Rank Proposals for Object Detection
Zhiyu Tan, Xuecheng Nie, Qi Qian, Nan Li, Hao Li
IEEE International Conference on Computer Vision (ICCV), 2019
[PDF] [Bibtex]

Story Co-Segmentation of Chinese Broadcast News Using Weakly-Supervised Semantic Similarity
Wei Feng, Xuecheng Nie, Yujun Zhang, Zhi-Qiang Liu, Jianwu Dang
Neurocomputing, 2019
[PDF] [Bibtex]

2018

Hierarchical Contextual Refinement Networks for Human Pose Estimation
Xuecheng Nie, Jiashi Feng, Junliang Xing, Shengtao Xiao, Shuicheng Yan
IEEE Transactions on Image Processing (TIP), 2018
[PDF] [Bibtex]

Pose Partition Networks for Multi-Person Pose Estimation
Xuecheng Nie, Jiashi Feng, Junliang Xing, Shuicheng Yan
European Conference on Computer Vision (ECCV), 2018
[PDF] [Bibtex] [Code] [Supp] [arXiv]

Mutual Learning to Adapt for Joint Human Parsing and Pose Estimation
Xuecheng Nie, Jiashi Feng, Shuicheng Yan
European Conference on Computer Vision (ECCV), 2018
[PDF] [Bibtex] [Code]

Human Pose Estimation with Parsing Induced Learner
Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[PDF] [Bibtex] [Code]

Unsupervised Measure of Chinese Lexical Semantic Similarity Using Correlated Graph Model for News Story Segmentation
Wei Feng, Xuecheng Nie*, Yujun Zhang, Lei Xie, Jianwu Dang (* indicates corresponding author)
Neurocomputing, 2018
[PDF] [Bibtex]

2017

Recurrent 3D-2D Dual Learning for Large-Pose Facial Landmark Detection
Shengtao Xiao, Jiashi Feng, Luoqi Liu, Xuecheng Nie, Wei Wang, Ashraf A. Kassim
IEEE International Conference on Computer Vision (ICCV), 2017
[PDF] [Bibtex]

Self-Supervised Neural Aggregation Networks for Human Parsing
Jian Zhao, Jianshu Li, Xuecheng Nie, Fang Zhao, Yunpeng Chen, Zhecan Wang, Jiashi Feng, Shuicheng Yan
IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2017
[PDF] [Bibtex]

2016

A Live Face Swapper
Shengtao Xiao, Luoqi Liu, Xuecheng Nie, Jiashi Feng, Ashraf A. Kassim, Shuicheng Yan
ACM Multimedia Conference (MM), 2016
[PDF] [Bibtex]

2012-2015

Layered Modeling and Generation of Pollock's Drip Style
Yan Zheng, Xuecheng Nie, Zhaopeng Meng, Wei Feng, and Kang Zhang
The Visual Computer, 2016
[PDF] [Bibtex]

Intrinsic Image Decomposition by Hierarchical L0 Sparsity
Xuecheng Nie, Wei Feng, Liang Wan, Haipeng Dai, and Chi-Man Pun
IEEE International Conference on Multimedia and Expo (ICME), 2014
[PDF] [Bibtex]

L0 Co-Intrinsic Image Decomposition
Haipeng Dai, Wei Feng, Liang Wan, and Xuecheng Nie
IEEE International Conference on Multimedia and Expo (ICME), 2014
[PDF] [Bibtex]

Measuring Semantic Similarity by Contextual Word Connections in Chinese News Story Segmentation
Xuecheng Nie, Wei Feng, Liang Wan, and Lei Xie
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2013
[PDF] [Bibtex]

Lexical Story Co-Segmentation of Chinese Broadcast News
Wei Feng, Xuecheng Nie, Liang Wan, Lei Xie, and Jianmin Jiang
International Speech Communication Association (INTERSPEECH), 2012
[PDF] [Bibtex]

Working Experience

2020.01 ~ Now, Research Scientist at YiTu Technology, Beijing, China
2019.06 ~ 2019.12, Research Intern at Google Cloud AI, Sunnyvale, CA, US
2018.05 ~ 2018.08, Research Intern at Snap Inc., Los Angeles, CA, US
2015.09 ~ 2016.05, Research Intern at Qihoo 360 AI Institute, Beijing, China
2014.05 ~ 2014.08, Research Assistant at City University of Hong Kong, Hong Kong, China

Professional Activities

I serviced as a reviewer for the following journals and conferences:

CVPR, ICCV, AAAI
Elsevier Journal of Neurocomputing
Elsevier Journal of Computer Vision and Image Understanding
IEEE Transactions on Multimedia
Journal of Artifical Intelligence Research

Teaching assistant at NUS for the following courses:

EE2024: Programming for Computer Interfaces

Selected Awards

2017.06 1st place in object localization tracks in ILSVRC 2017
2017.06 2nd place in both Human Parsing and Pose Estimation tracks in 1st LIP challenge
2016.03 Hong Kong Ph.D Fellowship
2015.01 Excellent Postgraduate of Tianjin University
2014.12 National Scholarship for Graduate Students
2013.06 Google Excellence Scholarship
2013.06 Excellent Undergraduate of Tianjin University
2012.06 TEDA-Scope Scholarship