I am currently a senior researcher at Microsoft Cloud + AI. Before that, I obtained my PhD degree in University of Science and Technology of China (USTC) under the joint PhD program between MSRA and USTC in 2019. I was luckily advised by Gang Hua, Lu Yuan and Prof. Nenghai Yu. I collaborate closely with Jing Liao and Qingnan Fan. In the early stage of my research period, I was also very fortunate to be supervised by Yi Ma and Jian Sun respectively.

My research interests are in computer vision, machine learning, and deep learning. I'm particularly interested in the areas of image generation, style transfer, object detection and AI security. You can find my cv here.

Publications

Mobile-Former: Bridging MobileNet and Transformer

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu

arXiv preprint arXiv:2107.00652

[pdf]

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo

arXiv preprint arXiv:2107.00652

[pdf] [code]

Stronger NAS with Weaker Predictors

Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

Advances in Neural Information Processing Systems (NeurIPs 2021)

[pdf] [bibtex] [code]

High-Fidelity Pluralistic Image Completion with Transformers

Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex] [code] [Project Page]

Learning with Noisy Labels for Robust Point Cloud Segmentation

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

International Conference on Computer Vision (ICCV 2021 Oral)

[pdf] [bibtex] [code] [Project Page]

Improving Image Recognition with Extremely Low FLOPs

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex]

Improve Unsupervised Pretraining for Few-label Transfer

Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex]

Unsupervised Pre-training for Person Re-identification

Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Dynamic Convolution via Matrix Decomposition

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

ICLR 2021

[pdf] [code]

Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex]

Dynamic Head: Unifying Object Detection Heads with Attentions

Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Multi-attentional Deepfake Detection

Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Diverse Semantic Image Synthesis via Probability Distribution Modeling

Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua Nenghai Yu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021)

[pdf] [bibtex] [code]

Improving Person Re-identification with Iterative Impression Aggregation

Dengpan Fu, Bo Xin, Jingdong Wang, Dongdong Chen, Jianmin Bao, Gang Hua, Houqiang Li

TIP 2020

[pdf] [code]

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen

Advances in Neural Information Processing Systems (NeurIPs 2020)

[pdf] [bibtex] [code]

Passport-aware Normalization for Deep Model Protection

Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Advances in Neural Information Processing Systems (NeurIPs 2020)

[pdf] [bibtex] [code]

Dynamic ReLU

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

European Conference on Computer Vision (ECCV 2020)

[pdf] [bibtex]

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan

European Conference on Computer Vision (ECCV 2020)

[pdf] [bibtex]

MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing

Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu

ACM Transactions on Graphics (SIGGRAPH) 2020

[pdf] [code] [bibtex]

Dynamic Convolution: Attention over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Bringing Old Photos Back to Life

Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020 Oral)

[pdf] [code] [bibtex] [PAMI extension]

Density-Aware Graph for Deep Semi-Supervised Visual Recognition

Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Robust Superpixel-Guided Attentional Adversarial Attack

Xiaoyi Dong, Jiangfan Han, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Self-Robust 3D Point Recognition via Gather-vector Guidance

Xiaoyi Dong, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Hang Zhou, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Model Watermarking for Image Processing Networks

Jie Zhang*, Dongdong Chen, et al., Nenghai Yu

Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

[pdf] [bibtex] [TPAMI Version]

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan*, Dongdong Chen*, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao (*Equal Contribution)

Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019)

[pdf] [bibtex] [IJCV Extension]

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019)

[pdf] [bibtex]

A General Decoupled Learning Framework for Parameterized Image Operators

Qingnan Fan*, Dongdong Chen*, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen (*Equal Contribution)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)

[pdf] [bibtex]

Progressive Color Transfer with Dense Semantic Correspondences

Mingming He, Jing Liao, Dongdong Chen*, Lu Yuan, Pedro V Sander

ACM TOG 2018

[pdf] [bibtex]

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?-A Tailored Approach to Single Image Reflection Removal

Daniel Heydecker, Georg Maierhofer, Angelica I Aviles-Rivero, Qingnan Fan, Dongdong Chen, Carola-Bibiane Schönlieb, Sabine Süsstrunk

TIP 2019

[pdf]

Gated Context Aggregation Network for Image Dehazing and Deraining

Dongdong Chen*, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua

WACV 2019

[pdf] [code] [bibtex]

Decouple Learning for Parameterized Image Operators

Qingnan Fan*, Dongdong Chen*, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen (* Equal Contribution)

ECCV 2018

[pdf] [code] [bibtex]

Deep Exemplar-based Colorization

Mingming He*, Dongdong Chen*, Jing Liao, Pedro V.Sander, Lu Yuan (* Equal Contribution)

Siggraph 2018

[pdf] [code] [supplementary] [bibtex]

Stereoscopic Neural Style Transfer

Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

CVPR 2018

[pdf] [supplementary] [video] [bibtex]

Coherent Online Video Style Transfer

Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, Gang Hua

ICCV 2017

[pdf] [video] [bibtex]

StyleBank: An Explicit Representation for Neural Image Style Transfer

Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

CVPR 2017

[pdf] [supplementary] [video] [bibtex] [TPAMI Version]

Congrats! Our technique is adopted by Microsoft Pix.

Automatic Extraction of Moving Objects from Image and LIDAR Sequences

Jizhou Yan, Dongdong Chen, Heesoo Myeong, Takaaki Shiratori, Yi Ma

International Conference on 3D Vision 2014

[pdf] [bibtex]

Book Chapters

Gang Hua, Dongdong Chen, "Deep Conditional Image Generation: Towards Controllable Visual Pattern Modeling", in Advanced Methods and Deep Learning in Computer Vision, editted by E .R. Davies and Matthew Turk, Elsevier, 2021.

Dongdong Chen, Lu Yuan, Gang Hua, "Deep Style Transfer", in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020

Dongdong Chen, Lu Yuan, Gang Hua, "Texutre Synthesis", in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020

Experience

2010.08~2014.06: Bachelor in Electrical Engineering in University of Science and Technology of China

2013.07~2014.05: Intern in MSRA advised by Yi Ma and Jian Sun respectively

2015.07~2015.10: Intern in Alibaba Group Beijing

2015.11~2018.03: Intern in MSRA advised by Jian Sun and Gang Hua and Lu Yuan respectively.

2018.04~2018.09: Intern in Microsoft Redmond advised Gang Hua.

Professional Activities

Invited as Associate Editor with Pattern Recognition from 2022

Invited as Area Chair of ICPR 2022

Invited as Senior Program Committee (SPC) of AAAI 2022 and Area Chair of CVPR 2022

Reviewer: CVPR 2021, ICCV 2021, NeurIPs 2021

Reviewer: CVPR 2020, ECCV 2020, NeurIPs 2020, AAAI 2020,

Reviewer: CVPR 2019, ICCV 2019, AAAI 2019, PRCV 2019, ICME 2019, ICIG 2019

Reviewer: CVPR2018, ECCV 2018, ACCV2018

Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)

Reviewer: International Journal of Comuter Vision(IJCV)

Reviewer: IEEE Transactions on Image Processing(TIP)

Reviewer: IEEE Transactions on MultiMedia(TMM)

Reviewer: IEEE Transactions on Circuits and Systems for Video Technology(TCSVT)

Reviewer: Machine Vision and Applications(MVAP)

Reviewer: Journal of Selected Topics in Signal Processing (JSTSP)

Reviewer: Public Library of Science (PLOS ONE)

Awards and Honors

Outstanding Reviewer Award of CVPR 2020, CVPR 2021, ICCV 2021

Chinese Academy of Sciences President Award (Special), July 2019

National Scholarship for Graduate Students, Nov 2018

(3/2950 Teams) FashionAI Global Challenge—Attributes Recognition of Apparel 2018

(7/2322 Teams) FashionAI Global Challenge—Key Points Detection of Apparel 2018

National ScholarShip, Nov 2012

National ScholarShip, Nov 2013

Grand Prize (1/1438 teams) in CCF National Youth Innovation Contest of Big Data 2015

Top 5 in Tianyi Algorithm Contest of Big Data 2016

Best Demo Prize of Di-Tech Algorithm Contest of Big Data 2016