Linjie Yang - Concepedia

Author

Linjie Yang

Snap (United States)ORCID

Also Known As

L. Yang, Liangxuan Yang, Linjie Yang, M. H. Jin, Yang, Linjie

108

Publications

4.8K

Citations

H-Index

Concepts

All Affiliations

Snap (United States)Chinese Academy of Sciences Chinese University of Hong Kong University of Illinois Urbana-Champaign Sun Yat-sen University

About

Linjie Yang is an author at Snap (United States) specializing in engineering, machine learning, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	22	30	2.6K
2	Natural Sciences	3	3	33
3	Health Sciences	1	1	51
4	Social Sciences	1	1	32
5	Biomedical Engineering	1	1	44

Linjie Yang

Publications

Citations

H-Index

Page 1

	Year	Citations
A large-scale car dataset for fine-grained categorization and verification Linjie Yang, Ping Luo, Chen Change Loy,	2015	834
Video Instance Segmentation Linjie Yang, Yuchen Fan, Ning Xu Scene AnalysisMachine VisionMachine LearningImage AnalysisEngineering	2019	446
Efficient Video Object Segmentation via Network Modulation Linjie Yang, Yanran Wang, Xuehan Xiong,	2018	384
DeepViT: Towards Deeper Vision Transformer Daquan Zhou, Bingyi Kang, Xiaojie Jin, arXiv (Cornell University) Convolutional Neural NetworkMachine VisionImage AnalysisMachine LearningEngineering	2021	348
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark Ning Xu, Linjie Yang, Yuchen Fan, arXiv (Cornell University) Scene AnalysisEngineeringMachine LearningVideo RetrievalVideo Interpretation	2018	301
Slimmable Neural Networks Jiahui Yu, Linjie Yang, Ning Xu, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningSingle Neural NetworkImage Analysis	2018	235
Dense Captioning with Joint Inference and Visual Context Linjie Yang, Kevin Tang, Li-Jia Li Dense Language DescriptionsEngineeringMachine LearningComputer Vision TopicNatural Language Processing	2017	174
Robust High-Resolution Video Matting with Temporal Guidance Shanchuan Lin, Linjie Yang, Imran Saleemi, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)	2022	155
Streamlined Dense Video Captioning Jonghwan Mun, Linjie Yang, Zhou Ren, Natural Language ProcessingImage AnalysisMachine LearningEngineeringSequential Video	2019	150
AdaBits: Neural Network Quantization With Adaptive Bit-Widths Qing Jin, Linjie Yang, Zhenyu Liao Convolutional Neural NetworkEngineeringMachine LearningComputer ArchitectureAdaptive Bit-widths	2020	125

Page 1