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Computer Science

D-Index
51
Citations
19541
World Ranking
5208
National Ranking
707

Overview

Xiaolin Hu is a researcher affiliated with Tsinghua University in China. Their scholarly work primarily spans the fields of Computer Science and Engineering, with a significant focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Mechanical Engineering, and Cognitive Neuroscience.

Their research contributions cover a variety of advanced topics including:

  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Advanced Image and Video Retrieval Techniques
  • Multimodal Machine Learning Applications
  • Speech and Audio Processing

Some recent papers authored or co-authored by Xiaolin Hu include:

  • "Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection" (2020), published in arXiv (Cornell University)
  • "Adversarial Texture for Fooling Person Detectors in the Physical World" (2022), published in the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "A Memristors-Based Dendritic Neuron for High-Efficiency Spatial-Temporal Information Processing" (2022), published in Advanced Materials

Xiaolin Hu frequently collaborates with several co-authors, among whom are:

  • Jianmin Li
  • Gang Zhang
  • Chufeng Tang
  • Zhanhao Hu
  • Zhaoxiang Zhang

The researcher has published mainly in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Industrial Informatics
  • Journal of Medicinal Chemistry

Xiaolin Hu's body of work spans hundreds of contributions, including over 200 publications primarily in Computer Science and Engineering. Their interdisciplinary approach incorporates aspects from both core technical domains and more applied engineering topics.

Best Publications

  • High Performance Visual Tracking with Siamese Region Proposal Network

    Bo Li;Junjie Yan;Wei Wu;Zheng Zhu

  • Boosting Adversarial Attacks with Momentum

    Yinpeng Dong;Fangzhou Liao;Tianyu Pang;Hang Su

  • Selective Kernel Networks

    Xiang Li;Wenhai Wang;Xiaolin Hu;Jian Yang

  • Recurrent convolutional neural network for object recognition

    Ming Liang;Xiaolin Hu

  • Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

    Xiang Li;Wenhai Wang;Lijun Wu;Shuo Chen

  • Defense Against Adversarial Attacks Using High-Level Representation Guided Denoiser

    Fangzhou Liao;Ming Liang;Yinpeng Dong;Tianyu Pang

  • Evaluate the Malignancy of Pulmonary Nodules Using the 3-D Deep Leaky Noisy-OR Network

    Fangzhou Liao;Ming Liang;Zhe Li;Xiaolin Hu

  • Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

    Xiang Li;Wenhai Wang;Xiaolin Hu;Jun Li

  • Adversarial Attacks and Defences Competition

    Alexey Kurakin;Ian J. Goodfellow;Samy Bengio;Yinpeng Dong

  • Understanding the Disharmony Between Dropout and Batch Normalization by Variance Shift

    Xiang Li;Shuo Chen;Xiaolin Hu;Jian Yang

  • Line-CNN: End-to-End Traffic Line Detection With Line Proposal Unit

    Xiang Li;Jun Li;Xiaolin Hu;Jian Yang

  • Online Knowledge Distillation via Collaborative Learning

    Qiushan Guo;Xinjiang Wang;Yichao Wu;Zhipeng Yu

  • Solving Pseudomonotone Variational Inequalities and Pseudoconvex Optimization Problems Using the Projection Neural Network

    Xiaolin Hu;Jun Wang

  • Joint Training of Cascaded CNN for Face Detection

    Hongwei Qin;Junjie Yan;Xiu Li;Xiaolin Hu

  • An Improved Dual Neural Network for Solving a Class of Quadratic Programming Problems and Its $k$ -Winners-Take-All Application

    Xiaolin Hu;Jun Wang

  • Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

    Xiang Li;Xiaolin Hu;Jian Yang

  • Knowledge Distillation via Route Constrained Optimization

    Xiao Jin;Baoyun Peng;Yichao Wu;Yu Liu

  • Delving deeper into convolutional neural networks for camera relocalization

    Jian Wu;Liwei Ma;Xiaolin Hu

  • Traffic sign detection based on convolutional neural networks

    Yihui Wu;Yulong Liu;Jianmin Li;Huaping Liu

  • RefineMask: Towards High-Quality Instance Segmentation with Fine-Grained Features

    Gang Zhang;Xin Lu;Jingru Tan;Jianmin Li

  • Gated recurrent convolution neural network for OCR

    Jianfeng Wang;Xiaolin Hu

Frequent Co-Authors

Bo Zhang
Bo Zhang Tsinghua University
Jun Wang
Jun Wang City University of Hong Kong
Jun Zhu
Jun Zhu Tsinghua University
Junjie Yan
Junjie Yan SenseTime
Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Jianwei Zhang
Jianwei Zhang Universität Hamburg
Jinhui Tang
Jinhui Tang Nanjing University of Science and Technology
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
H.-S. Philip Wong
H.-S. Philip Wong Stanford University
Shi-Gang Sun
Shi-Gang Sun Xiamen University

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