World's Best Scientists 2026 revealed!
Junjie Yan

Junjie Yan

D-Index & Metrics

Computer Science

D-Index
76
Citations
27536
World Ranking
1328
National Ranking
177

Overview

Junjie Yan is a researcher affiliated with SenseTime in China, whose work spans the fields of Computer Science and Medicine. Their research outputs reveal an interdisciplinary focus, particularly bridging advanced computational methods and medical applications.

The primary fields of study associated with Junjie Yan include:

  • Computer Science
  • Medicine

The subfields of their research reflect a concentration on both technical innovation and biomedical applications, encompassing:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Molecular Biology
  • Electrical and Electronic Engineering

The main topics addressed in their work cover a range of specialized areas:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Radiopharmaceutical Chemistry and Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Monoclonal and Polyclonal Antibodies Research

Junjie Yan has contributed to numerous publications, including recent papers such as:

  • "Applications of multi-omics analysis in human diseases," 2023, MedComm
  • "Geometry Uncertainty Projection Network for Monocular 3D Object Detection," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Depletion of acetate-producing bacteria from the gut microbiota facilitates cognitive impairment through the gut-brain neural mechanism in diabetic mice," 2021, Microbiome
  • "Small-molecule fluorescent probes for H2S detection: Advances and perspectives," 2020, TrAC Trends in Analytical Chemistry
  • "BlockQNN: Efficient Block-Wise Neural Network Architecture Generation," 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

The frequent co-authors who have collaborated with Junjie Yan include:

  • Xinyu Wang
  • Donghui Pan
  • Min Yang
  • Yuping Xu

Junjie Yan's work has appeared in various publication venues, reflecting a broad academic dissemination, including:

  • arXiv (Cornell University)
  • SSRN Electronic Journal
  • Research Square (Research Square)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Molecular Pharmaceutics

Best Publications

  • High Performance Visual Tracking with Siamese Region Proposal Network

    Bo Li;Junjie Yan;Wei Wu;Zheng Zhu

  • SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

    Bo Li;Wei Wu;Qiang Wang;Fangyi Zhang

  • Distractor-aware Siamese Networks for Visual Object Tracking

    Zheng Zhu;Qiang Wang;Bo Li;Wei Wu

  • Spindle Net: Person Re-identification with Human Body Region Guided Feature Decomposition and Fusion

    Haiyu Zhao;Maoqing Tian;Shuyang Sun;Jing Shao

  • A face antispoofing database with diverse attacks

    Zhiwei Zhang;Junjie Yan;Sifei Liu;Zhen Lei

  • High-fidelity Pose and Expression Normalization for face recognition in the wild

    Xiangyu Zhu;Zhen Lei;Junjie Yan;Dong Yi

  • T-CNN: Tubelets With Convolutional Neural Networks for Object Detection From Videos

    Kai Kang;Hongsheng Li;Junjie Yan;Xingyu Zeng

  • Salient Color Names for Person Re-identification

    Yang Yang;Jimei Yang;Junjie Yan;Shengcai Liao

  • FOTS: Fast Oriented Text Spotting with a Unified Network

    Xuebo Liu;Ding Liang;Shi Yan;Dagui Chen

  • HydraPlus-Net: Attentive Deep Features for Pedestrian Analysis

    Xihui Liu;Haiyu Zhao;Maoqing Tian;Lu Sheng

  • Practical Block-Wise Neural Network Architecture Generation

    Zhao Zhong;Junjie Yan;Wei Wu;Jing Shao

  • Grid R-CNN

    Xin Lu;Buyu Li;Yuxin Yue;Quanquan Li

  • POI: Multiple Object Tracking with High Performance Detection and Appearance Feature

    Fengwei Yu;Fengwei Yu;Wenbo Li;Wenbo Li;Quanquan Li;Yu Liu

  • Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

    Ruihao Gong;Xianglong Liu;Shenghu Jiang;Tianxiang Li

  • STM: SpatioTemporal and Motion Encoding for Action Recognition

    Boyuan Jiang;Mengmeng Wang;Weihao Gan;Wei Wu

  • Equalization Loss for Long-Tailed Object Recognition

    Jingru Tan;Changbao Wang;Buyu Li;Quanquan Li

  • Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift

    Ruijia Xu;Ziliang Chen;Wangmeng Zuo;Junjie Yan

  • Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification

    Zhongdao Wang;Luming Tang;Xihui Liu;Zhuliang Yao

  • Aggregate channel features for multi-view face detection

    Bin Yang;Junjie Yan;Zhen Lei;Stan Z. Li

  • Convolutional Channel Features

    Bin Yang;Junjie Yan;Zhen Lei;Stan Z. Li

  • Mimicking Very Efficient Network for Object Detection

    Quanquan Li;Shengying Jin;Junjie Yan

  • The Fastest Deformable Part Model for Object Detection

    Junjie Yan;Zhen Lei;Longyin Wen;Stan Z. Li

Frequent Co-Authors

Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Zhen Lei
Zhen Lei Chinese Academy of Sciences
Stan Z. Li
Stan Z. Li Westlake University
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong
Dong Yi
Dong Yi Winsense Co., Ltd.
Dahua Lin
Dahua Lin Chinese University of Hong Kong
Yu Qiao
Yu Qiao Chinese Academy of Sciences
Xiaolin Hu
Xiaolin Hu Tsinghua University
Tieniu Tan
Tieniu Tan Chinese Academy of Sciences

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