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Author

Di Xie

Observed names: Donghao Xie, Xie, Di
Institution: Jingdong (China)
Observed institutions: City University of Hong Kong, Purdue University West Lafayette, Jingdong (China), Fraunhofer Institute for Digital Medicine, Hikvision (China), Zhejiang University
ORCID: 0000-0001-8065-5901
Observed ORCID: 0000-0001-8065-5901
OpenAlex ID: A5100636142
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation
2018 · Chao Li, Qiaoyong Zhong, et al. · International Joint Conference on Artificial Intelligence · 634
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Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction
2019 · Dejing Xu, Jun Xiao, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 427
Skeleton-based action recognition with convolutional neural networks
2017 · Chao Li, Qiaoyong Zhong, et al. · IEEE International Conference on Multimedia & Expo Workshops (ICMEW) · 407
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study
2020 · Wenhan Yang, Ye Yuan, et al. · IEEE Transactions on Image Processing · 365
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition
2020 · Fanfan Ye, Shiliang Pu, et al. · ACM International Conference on Multimedia (ACM MM) · 362
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The only constant is change: incorporating time-varying network reservations in data centers
2012 · Di Xie, Ning Ding, et al. · ACM SIGCOMM Conference (SIGCOMM) · 260
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Small-Scale Pedestrian Detection Based on Topological Line Localization and Temporal Feature Aggregation
2018 · Tao Song, Leiyu Sun, et al. · Lecture notes in computer science · 233
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Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection
2021 · Jinlei Hou, Yingying Zhang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 214
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Topology-Aware Convolutional Neural Network for Efficient Skeleton-Based Action Recognition
2022 · Kailin Xu, Fanfan Ye, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 196
Fusing Geometric Features for Skeleton-Based Action Recognition Using Multilayer LSTM Networks
2018 · Songyang Zhang, Yang Yang, et al. · IEEE Transactions on Multimedia · 193
Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks
2022 · Da-Wei Zhou, Han-Jia Ye, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 175
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All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
2017 · Di Xie, Jiang Xiong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 165
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A Free Lunch for Unsupervised Domain Adaptive Object Detection without Source Data
2021 · Xianfeng Li, Weijie Chen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 164
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Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark
2023 · Martin Wagner, Beat-Peter Müller-Stich, et al. · Medical Image Analysis · 140
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Collaborative Spatiotemporal Feature Learning for Video Action Recognition
2019 · Chao Li, Qiaoyong Zhong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 120
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TransForensics: Image Forgery Localization with Dense Self-Attention
2021 · Jing Hao, Zhixin Zhang, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 112
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Label Matching Semi-Supervised Object Detection
2022 · Binbin Chen, Weijie Chen, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 104
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Learning Domain Adaptive Object Detection with Probabilistic Teacher
2022 · Chen, Meilin, Chen, Weijie, et al. · arXiv (Cornell University) · 97
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All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification
2019 · Weijie Chen, Di Xie, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 97
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The only constant is change: incorporating time-varying network reservations in data centers
2012 · Di Xie, Ning Ding, et al. · ACM SIGCOMM Computer Communication Review · 95
Extreme Network Compression via Filter Group Approximation
2018 · Bo Peng, Wenming Tan, et al. · Lecture notes in computer science · 68
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Self-Supervised Noisy Label Learning for Source-Free Unsupervised Domain Adaptation
2022 · Weijie Chen, Luojun Lin, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 62
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Attention Diversification for Domain Generalization
2022 · Rang Meng, Xianfeng Li, et al. · Lecture notes in computer science · 60
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Cascade region proposal and global context for deep object detection
2019 · Qiaoyong Zhong, Chao Li, et al. · Neurocomputing · 58
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Learning Incremental Triplet Margin for Person Re-Identification
2019 · Yingying Zhang, Qiaoyong Zhong, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 53
Works count: 88
Citation count: 5,384
H-index: 30
I10-index: 43
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