World's Best Scientists 2026 revealed!
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Rising Stars
2025

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Rising Stars

D-Index
32
Citations
5039
World Ranking
967
National Ranking
309

Computer Science

D-Index
31
Citations
5538
World Ranking
13469
National Ranking
1645

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Zequn Jie is affiliated with Tencent in China and has a substantial body of research primarily in the field of Computer Science. Their contributions cover various subfields, notably Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Media Technology, and Cognitive Neuroscience.

Their scholarly output consists of over 100 publications, with a significant concentration in Computer Vision and Pattern Recognition. The subfields of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Media Technology
  • Cognitive Neuroscience

The major topics addressed in their work include:

  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Image and Video Retrieval Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition
  • Video Surveillance and Tracking Methods
  • Natural Language Processing Techniques

Zequn Jie has published extensively in a range of venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neurocomputing
  • IEEE Transactions on Multimedia
  • Proceedings of the AAAI Conference on Artificial Intelligence

Recent papers authored or co-authored by Zequn Jie include:

  • "Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms", 2020, JAMA Network Open
  • "CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection", 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing", 2020, arXiv (Cornell University)
  • "Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation", 2022, arXiv (Cornell University)
  • "Delving deep into the imbalance of positive proposals in two-stage object detection", 2020, Neurocomputing

The scientist maintains collaborations with several frequent co-authors, indicating ongoing cooperation in research efforts. These collaborators include Lin Ma, Shaoxiang Chen, Yu-Gang Jiang, Xiaolin Wei, and Jingjing Chen.

Best Publications

  • Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation

    Yunchao Wei;Huaxin Xiao;Honghui Shi;Zequn Jie

  • A Sufficient Condition for Convergences of Adam and RMSProp

    Fangyu Zou;Li Shen;Zequn Jie;Weizhong Zhang

  • Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms

    Thomas Schaffter;Diana S. M. Buist;Christoph I. Lee;Yaroslav Nikulin

  • Central Similarity Quantization for Efficient Image and Video Retrieval

    Li Yuan;Tao Wang;Xiaopeng Zhang;Francis Eh Tay

  • Temporally Grounding Natural Sentence in Video

    Jingyuan Chen;Xinpeng Chen;Lin Ma;Zequn Jie

  • Joint Task-Recursive Learning for Semantic Segmentation and Depth Estimation

    Zhenyu Zhang;Zhen Cui;Chunyan Xu;Zequn Jie

  • Deep Self-Taught Learning for Weakly Supervised Object Localization

    Zequn Jie;Yunchao Wei;Xiaojie Jin;Jiashi Feng

  • Multi-View Image Generation from a Single-View

    Bo Zhao;Xiao Wu;Zhi-Qi Cheng;Hao Liu

  • NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing

    Xin Huang;Zheng Ge;Zequn Jie;Osamu Yoshie

  • Video-Based Person Re-Identification With Accumulative Motion Context

    Hao Liu;Zequn Jie;Karlekar Jayashree;Meibin Qi

  • Neural Person Search Machines

    Hao Liu;Jiashi Feng;Zequn Jie;Karlekar Jayashree

  • Tree-structured reinforcement learning for sequential object localization

    Zequn Jie;Xiaodan Liang;Jiashi Feng;Xiaojie Jin

  • PromptDet: Towards Open-Vocabulary Detection Using Uncurated Images

    Unknown

  • Video Scene Parsing with Predictive Feature Learning

    Xiaojie Jin;Xin Li;Huaxin Xiao;Xiaohui Shen

  • Learning to segment with image-level annotations

    Yunchao Wei;Xiaodan Liang;Yunpeng Chen;Zequn Jie

  • MSMDFusion: Fusing LiDAR and Camera at Multiple Scales with Multi-Depth Seeds for 3D Object Detection

    Unknown

  • CASNet: A Cross-Attention Siamese Network for Video Salient Object Detection

    Yuzhu Ji;Haijun Zhang;Zequn Jie;Lin Ma

  • Policy Optimization with Demonstrations

    Bingyi Kang;Zequn Jie;Jiashi Feng

  • Localizing Natural Language in Videos.

    Jingyuan Chen;Lin Ma;Xinpeng Chen;Zequn Jie

  • Geometry-Aware Distillation for Indoor Semantic Segmentation

    Jianbo Jiao;Yunchao Wei;Zequn Jie;Honghui Shi

  • Left-Right Comparative Recurrent Model for Stereo Matching

    Zequn Jie;Pengfei Wang;Yonggen Ling;Bo Zhao

  • Real-Time Referring Expression Comprehension by Single-Stage Grounding Network.

    Xinpeng Chen;Lin Ma;Jingyuan Chen;Zequn Jie

Frequent Co-Authors

Jiashi Feng
Jiashi Feng ByteDance
Shuicheng Yan
Shuicheng Yan National University of Singapore
Wei Liu
Wei Liu Tencent (China)
Yunchao Wei
Yunchao Wei Beijing Jiaotong University
Xiaohui Shen
Xiaohui Shen ByteDance
Bo Zhao
Bo Zhao Stanford University
Xiaodan Liang
Xiaodan Liang Sun Yat-sen University
Zhe Lin
Zhe Lin Adobe Systems (United States)
Wen Feng Lu
Wen Feng Lu National University of Singapore
Jimei Yang
Jimei Yang Adobe Systems (United States)

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