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Computer Science

D-Index
61
Citations
15461
World Ranking
3063
National Ranking
411

Overview

Qixiang Ye is affiliated with the Chinese Academy of Sciences in China. Their research primarily falls within the field of computer science, with a focus on topics related to computer vision and pattern recognition. The scientist has contributed extensively to subfields including artificial intelligence, aerospace engineering, media technology, and electrical and electronic engineering.

Their work covers a range of main topics, such as:

  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Video Surveillance and Tracking Methods
  • Human Pose and Action Recognition
  • Visual Attention and Saliency Detection

Qixiang Ye has frequently published in several venues, including:

  • arXiv (Cornell University)
  • IEEE Transactions on Neural Networks and Learning Systems
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • IEEE Transactions on Circuits and Systems for Video Technology
  • Pattern Recognition

Their recent notable publications include:

  • Conformer: Local Features Coupling Global Representations for Visual Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • VMamba: Visual State Space Model, 2024, arXiv (Cornell University)
  • TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning to Match Anchors for Visual Object Detection, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning, 2020, Proceedings of the AAAI Conference on Artificial Intelligence

Frequent co-authors collaborating with Qixiang Ye include:

  • Jianbin Jiao
  • Rongrong Ji
  • Zhenjun Han
  • Fang Wan
  • Lingxi Xie

Best Publications

  • Image-Image Domain Adaptation with Preserved Self-Similarity and Domain-Dissimilarity for Person Re-identification

    Weijian Deng;Liang Zheng;Qixiang Ye;Guoliang Kang

  • Text Detection and Recognition in Imagery: A Survey

    Qixiang Ye;David Doermann

  • Conformer: Local Features Coupling Global Representations for Visual Recognition

    Zhiliang Peng;Wei Huang;Shanzhi Gu;Lingxi Xie

  • Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

    Shaohui Lin;Rongrong Ji;Chenqian Yan;Baochang Zhang

  • Fast and robust text detection in images and video frames

    Qixiang Ye;Qingming Huang;Wen Gao;Debin Zhao

  • Orientation robust object detection in aerial images using deep convolutional neural network

    Haigang Zhu;Xiaogang Chen;Weiqun Dai;Kun Fu

  • Prototype Mixture Models for Few-Shot Semantic Segmentation

    Boyu Yang;Chang Liu;Bohao Li;Jianbin Jiao

  • Scale Match for Tiny Person Detection

    Xuehui Yu;Yuqi Gong;Nan Jiang;Qixiang Ye

  • Weakly Supervised Instance Segmentation Using Class Peak Response

    Yanzhao Zhou;Yi Zhu;Qixiang Ye;Qiang Qiu

  • AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Shijian Lu;Qixiang Ye;Xuebo Shan

  • SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images

    Caijing Miao;Lingxi Xie;Fang Wan;Chi Su

  • Oriented Response Networks

    Yanzhao Zhou;Qixiang Ye;Qiang Qiu;Jianbin Jiao

  • FreeAnchor: Learning to Match Anchors for Visual Object Detection

    Xiaosong Zhang;Fang Wan;Chang Liu;Rongrong Ji

  • Selective Sparse Sampling for Fine-Grained Image Recognition

    Yao Ding;Yanzhao Zhou;Yi Zhu;Qixiang Ye

  • A configurable method for multi-style license plate recognition

    Jianbin Jiao;Qixiang Ye;Qingming Huang

  • BEiT v2: Masked Image Modeling with Vector-Quantized Visual Tokenizers

    Unknown

  • C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

    Fang Wan;Chang Liu;Wei Ke;Xiangyang Ji

  • Learning to Match Anchors for Visual Object Detection.

    Xiaosong Zhang;Fang Wan;Chang Liu;Xiangyang Ji

  • Min-Entropy Latent Model for Weakly Supervised Object Detection

    Fang Wan;Pengxu Wei;Jianbin Jiao;Zhenjun Han

  • Beyond Bounding-Box: Convex-hull Feature Adaptation for Oriented and Densely Packed Object Detection

    Zonghao Guo;Chang Liu;Xiaosong Zhang;Jianbin Jiao

  • Multiple Expert Brainstorming for Domain Adaptive Person Re-Identification

    Yunpeng Zhai;Qixiang Ye;Shijian Lu;Mengxi Jia

  • Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

    Yuan Yao;Chang Liu;Dezhao Luo;Yu Zhou

Frequent Co-Authors

Rongrong Ji
Rongrong Ji Xiamen University
Baochang Zhang
Baochang Zhang Beihang University
Wei Ke
Wei Ke University of Chinese Academy of Sciences
Wen Gao
Wen Gao Peking University
Qingming Huang
Qingming Huang University of Chinese Academy of Sciences
David Doermann
David Doermann University at Buffalo, State University of New York
Jianzhuang Liu
Jianzhuang Liu Shenzhen Institutes of Advanced Technology
Yonghong Tian
Yonghong Tian Peking University
Qi Tian
Qi Tian Huawei Technologies (China)
Shuqiang Jiang
Shuqiang Jiang Chinese Academy of Sciences

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