Dongdong Yu
I am a Researcher in the Visual Computing Team at ByteDance AI Lab. My research interests focus on the computer vision and artificical intelligence, specifically on the topic of image classification, human keypoint, and scene parsing. I obtained PhD from CASIA in 2017 supervised by Prof. Ruwei Dai and Prof. Jie Tian. Email: yudongdongatcasia@gmail.com; yudongdong@bytedance.com
Google Scholar / CV
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Conference
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F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation [PDF] Daizong Liu†, Dongdong Yu†, Changhu Wang, Pan Zhou. AAAI, 2021
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SPCNet: Spatial Preserve and Content-aware Network for Human Pose Estimation [PDF] Yabo Xiao, Dongdong Yu, Xiaojuan Wang, Tianqi Lv, Yiqi Fan, Lei Jin. ECAI, 2020
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A Context-and-Spatial Aware Network for Multi-Person Pose Estimation [PDF] Dongdong Yu, Kai Su, Xin Geng, Changhu Wang. Arxiv, 2019
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Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information [PDF] Kai Su†, Dongdong Yu†, Zhenqi Xu, Xin Geng, Changhu Wang. CVPR, 2019 |
Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network [PDF] Dongdong Yu†, Kai Su†, Jia Sun, Changhu Wang. ECCVW, 2018 |
Mask Propagation Network for Video Object Segmentation [PDF] Jia Sun†, Dongdong Yu†, Yinghong Li, Changhu Wang. CVPRW, 2018 |
Convolutional Neural Networks for Predicting Molecular Profiles of Non-small Cell Lung Cancer [PDF] Dongdong Yu, Mu Zhou, Feng Yang, Di Dong, Olivier Gevaert, Zaiyi Liu, Jingyun Shi, Jie Tian. ISBI, 2017 |
Developing a Radiomics Framework for Classifying Non-small Cell Lung Carcinoma Subtypes [PDF] Dongdong Yu, Yali Zang, Di Dong, Mu Zhou, Olivier Gevaert, Mengjie Fang, Jingyun Shi, Jie Tian. SPIEMI, 2017 |
A New Region Descriptor for Multi-modal Medical Image Registration and Region Detection [PDF] Xiaonan Wan, Dongdong Yu, Feng Yang, Caiyun Yang, Chengcai Leng, Min Xu, Jie Tian. EMBC, 2015 |
Journal
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Using Biparametric MRI Radiomics Signature to Differentiate between Benign and Malignant Prostate Lesions [PDF] Min Xu, Mengjie Fang, Jian Zou, Shudong Yang, Dongdong Yu, Lianzhen Zhong, Chaoen Hu, Yali Zang, Di Dong, Jie Tian, Xiangming Fang European Journal of Radiology, 2019 |
Predicting EGFR Mutation Status in Lung Adenocarcinoma on CT Image Using Deep Learning [PDF] Shuo Wang†, Jingyun Shi†, Zhaoxiang Ye†, Di Dong†, Dongdong Yu†, Mu Zhou†, Ying Liu, Olivier Gevaert, Kun Wang, Yongbei Zhu, Hongyu Zhou, Zhenyu Liu, Jie Tian European Respiratory Journal, 2019 |
Multi-crop Convolutional Neural Networks for Lung Nodule Malignancy Suspiciousness Classification [PDF] Wei Shen, Mu Zhou, Feng Yang, Dongdong Yu, Di Dong, Caiyun Yang, Yali Zang, Jie Tian. Pattern Recognition, Volume 61, Pages 663-673, 2017 |
Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization [PDF] Dongdong Yu, Feng Yang, Caiyun Yang, Chengcai Leng, Jian Cao, Yining Wang, Jie Tian. IEEE Transactions on Biomedical Engineering, Volume 63, Pages 1653-1664, 2016 |
Radiomic Signature as a Diagnostic Factor for Histologic Subtype Classification of Non-small Cell Lung Cancer [PDF] Xinzhong Zhu, Di Dong, Zhendong Chen, Mengjie Fang, Liwen Zhang, Jiangdian Song, Dongdong Yu, Yali Zang, Zhenyu Liu, Jingyun Shi, Jie Tian. European Radiology, Volume 28, Issue 7, Pages 2772-2778, 2018 |
Identifying the White Matter Impairments among ART-naïve HIV Patients: a Multivariate Pattern Analysis of DTI Data [PDF] Zhenchao Tang, Zhenyu Liu, Ruili Li, Xin Yang, Xingwei Cui, Shuo Wang, Dongdong Yu, Hongjun Li, Enqing Dong, Jie Tian. European Radiology, Volume 27, Issue 10, Pages 4153-4162, 2016 |
Adaptive Total-Variation for Non-Negative Matrix Factorization on Manifold [PDF] Chengcai Leng, Guorong Cai, Dongdong Yu, Zongyue Wang. Pattern Recognition Letters, Volume 98, Pages 68-74, 2017 |
Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization [PDF] Chengcai Leng, Dongdong Yu, Shuang Zhang, Yu An, Yifang Hu. Computational and Mathematical Methods in Medicine, Volume 2015, Article ID 304191, 8 pages, 2015 |
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