Xiangyang Ji - Concepedia

Author

Xiangyang Ji

Also Known As

Hwang, Jenq-Neng, Ji Xiangyang, Ji, Xiangyang, Jiang, Junjun, Liu, Xianming, Wang, Gu, Wang, Jingdong, X. Ji, Xiang-Yang JI, XiangYang Ji

478

Publications

11K

Citations

H-Index

201

Concepts

All Affiliations

Tsinghua University Harbin Institute of Technology Peking University Peng Cheng Laboratory University of Chinese Academy of Sciences

About

Xiangyang Ji is an author at Tsinghua University specializing in engineering, deep learning, and computer vision.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	40	106	8K
2	Health Sciences	5	5	611
3	Arts	4	4	156
4	Management	2	2	57
5	Education	1	1	10

Xiangyang Ji

154

Publications

9.3K

Citations

H-Index

Page 1

	Year	Citations
Fully Convolutional Instance-Aware Semantic Segmentation Yi Li, Haozhi Qi, Jifeng Dai, Instance Mask ProposalConvolutional Neural NetworkScene AnalysisMachine VisionImage Analysis	2017	1.1K
TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification Zhuchen Shao, Hao Bian, Yang Chen, arXiv (Cornell University) Multiple Instance LearningEngineeringMachine LearningDigital PathologyBinary/multiple Classification	2021	499
CDPN: Coordinates-Based Disentangled Pose Network for Real-Time RGB-Based 6-DoF Object Pose Estimation Zhigang Li, Gu Wang, Xiangyang Ji Machine VisionMachine LearningImage AnalysisEngineeringPattern Recognition	2019	472
CIFAR10-DVS: An Event-Stream Dataset for Object Classification Hongmin Li, Hanchao Liu, Xiangyang Ji, Frontiers in Neuroscience Event CameraEngineeringMachine LearningVideo ProcessingImage Sequence Analysis	2017	468
GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation Gu Wang, Fabian Manhardt, Federico Tombari, EngineeringMachine LearningHuman Pose Estimation3D Pose Estimation3D Computer Vision	2021	405
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection Fang Wan, Chang Liu, Wei Ke, Scene AnalysisMachine VisionMachine LearningImage AnalysisData Science	2019	260
Depth Image Denoising Using Nuclear Norm and Learning Graph Model Chenggang Yan, Zhisheng Li, Yongbing Zhang, ACM Transactions on Multimedia Computing Communications and Applications EngineeringMachine LearningDeblurringImage AnalysisData Science	2020	258
Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection Zonghao Guo, Chang Liu, Xiaosong Zhang, EngineeringMachine LearningFeature DetectionImage AnalysisData Science	2021	231
DANet: Divergent Activation for Weakly Supervised Object Localization Haolan Xue, Chang Liu, Fang Wan, Convolutional Neural NetworkEngineeringMachine LearningObject CategorizationObject Parts	2019	209
DeepIM: Deep Iterative Matching for 6D Pose Estimation Yi Li, Gu Wang, Xiangyang Ji, International Journal of Computer Vision Machine VisionEngineeringDeep Iterative MatchingHuman Pose Estimation3D Pose Estimation	2019	198

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