World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7080
World Ranking
11096
National Ranking
1365

Overview

Xinmei Tian is affiliated with the University of Science and Technology of China. Their research primarily falls within the domain of computer science, with a strong focus on artificial intelligence and computer vision and pattern recognition.

Their work addresses several subfields including information systems, biomedical engineering, and control and systems engineering. Tian's research topics reflect diverse interests such as domain adaptation and few-shot learning, multimodal machine learning applications, human pose and action recognition, privacy-preserving technologies in data, machine learning and data classification, video surveillance and tracking methods, and gait recognition and analysis.

Frequent co-authors in Tian's research collaborations include Dacheng Tao, Yonggang Zhang, Tongliang Liu, Ting Yao, and Tao Mei. These partnerships span multiple projects and contribute to their publication record.

Xinmei Tian has contributed numerous papers to reputable venues. Some recent publications include:

  • "Prompt Distribution Learning", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "3D Local Convolutional Neural Networks for Gait Recognition", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system", 2022, Medical Image Analysis
  • "QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines", 2023, Physical Review Applied
  • "Principal Component Adversarial Example", 2020, IEEE Transactions on Image Processing

Tian's publications frequently appear in venues such as arXiv (Cornell University), IEEE/CVF Conferences on Computer Vision and Pattern Recognition (CVPR), International Conference on Computer Vision (ICCV), IEEE Transactions on Multimedia, and ACM Transactions on Multimedia Computing Communications and Applications.

Best Publications

  • The sixth visual object tracking VOT2018 challenge results

    Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg

  • A Twofold Siamese Network for Real-Time Object Tracking

    Anfeng He;Chong Luo;Xinmei Tian;Wenjun Zeng

  • Deep Domain Generalization via Conditional Invariant Adversarial Networks

    Ya Li;Xinmei Tian;Mingming Gong;Yajing Liu

  • A Multi-Organ Nucleus Segmentation Challenge

    Neeraj Kumar;Ruchika Verma;Deepak Anand;Yanning Zhou

  • The Seventh Visual Object Tracking VOT2019 Challenge Results

    Matej Kristan;Amanda Berg;Linyu Zheng;Litu Rout

  • Gaussian Temporal Awareness Networks for Action Localization

    Fuchen Long;Ting Yao;Zhaofan Qiu;Xinmei Tian

  • Exploring Object Relation in Mean Teacher for Cross-Domain Detection

    Qi Cai;Yingwei Pan;Chong-Wah Ngo;Xinmei Tian

  • Quantization Networks

    Jiwei Yang;Xu Shen;Jun Xing;Xinmei Tian

  • Prompt Distribution Learning

    Unknown

  • Learning Spatio-Temporal Representation With Local and Global Diffusion

    Zhaofan Qiu;Ting Yao;Chong-Wah Ngo;Xinmei Tian

  • Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition

    Xikun Zhang;Chang Xu;Xinmei Tian;Dacheng Tao

  • Domain Generalization via Conditional Invariant Representations.

    Ya Li;Mingming Gong;Xinmei Tian;Tongliang Liu

  • Bayesian video search reranking

    Xinmei Tian;Linjun Yang;Jingdong Wang;Yichen Yang

  • Camera Lens Super-Resolution

    Chang Chen;Zhiwei Xiong;Xinmei Tian;Zheng-Jun Zha

  • Sparse transfer learning for interactive video search reranking

    Xinmei Tian;Dacheng Tao;Yong Rui

  • Active Reranking for Web Image Search

    Xinmei Tian;Dacheng Tao;Xian-Sheng Hua;Xiuqing Wu

  • 3D Local Convolutional Neural Networks for Gait Recognition

    Zhen Huang;Dixiu Xue;Xu Shen;Xinmei Tian

  • Query-Dependent Aesthetic Model With Deep Learning for Photo Quality Assessment

    Xinmei Tian;Zhe Dong;Kuiyuan Yang;Tao Mei

  • Deep Boosting for Image Denoising

    Chang Chen;Zhiwei Xiong;Xinmei Tian;Feng Wu

  • DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system

    Unknown

  • Real-World Image Denoising with Deep Boosting

    Chang Chen;Zhiwei Xiong;Xinmei Tian;Zheng-Jun Zha

  • QAOA-in-QAOA: Solving Large-Scale MaxCut Problems on Small Quantum Machines

    Unknown

  • DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training

    Unknown

  • Mocycle-GAN: Unpaired Video-to-Video Translation

    Yang Chen;Yingwei Pan;Ting Yao;Xinmei Tian

Frequent Co-Authors

Dacheng Tao
Dacheng Tao Nanyang Technological University
Ting Yao
Ting Yao University of Science and Technology of China
Tao Mei
Tao Mei Jingdong (China)
Tongliang Liu
Tongliang Liu University of Sydney
Houqiang Li
Houqiang Li University of Science and Technology of China
Linjun Yang
Linjun Yang Microsoft (United States)
Yingwei Pan
Yingwei Pan University of Science and Technology of China
Wenjun Zeng
Wenjun Zeng Microsoft (United States)
Feng Wu
Feng Wu University of Science and Technology of China
Chong-Wah Ngo
Chong-Wah Ngo Singapore Management University

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