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Computer Science

D-Index
42
Citations
20303
World Ranking
8139
National Ranking
1074

Overview

Naiyan Wang is affiliated with the Hong Kong University of Science and Technology in China. Their research primarily spans the fields of Computer Science and Engineering, with a focus on specialized subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Automotive Engineering, and Computational Mechanics.

Their work covers a range of topics including Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Advanced Image and Video Retrieval Techniques, Advanced Vision and Imaging, Robotics and Sensor-Based Localization, Autonomous Vehicle Technology and Safety, and Domain Adaptation and Few-Shot Learning.

Notable recent publications by Naiyan Wang include:

  • QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Auto-Rectify Network for Unsupervised Indoor Depth Estimation, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • YOLOV: Making Still Image Object Detectors Great at Video Object Detection, 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • You Only Search Once: Single Shot Neural Architecture Search via Direct Sparse Optimization, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent coauthors in Naiyan Wang's research include Zehao Huang, Zhaoxiang Zhang, Lue Fan, Yuntao Chen, and Zhichao Li, reflecting collaborative efforts across multiple studies.

The scholar's publications have appeared extensively in venues such as arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), the 2021 IEEE/CVF International Conference on Computer Vision (ICCV), and the International Journal of Computer Vision.

Best Publications

  • Empirical Evaluation of Rectified Activations in Convolutional Network.

    Bing Xu;Naiyan Wang;Tianqi Chen;Mu Li

  • MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

    Tianqi Chen;Mu Li;Yutian Li;Min Lin

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • Collaborative Deep Learning for Recommender Systems

    Hao Wang;Naiyan Wang;Dit-Yan Yeung

  • Learning a Deep Compact Image Representation for Visual Tracking

    Naiyan Wang;Dit-Yan Yeung

  • Scale-Aware Trident Networks for Object Detection

    Yanghao Li;Yuntao Chen;Naiyan Wang;Zhao-Xiang Zhang

  • Data-Driven Sparse Structure Selection for Deep Neural Networks

    Zehao Huang;Naiyan Wang

  • Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training

    Hongkai Zhang;Hong Chang;Bingpeng Ma;Naiyan Wang

  • Demystifying Neural Style Transfer

    Yanghao Li;Naiyan Wang;Jiaying Liu;Xiaodi Hou

  • Adaptive Batch Normalization for practical domain adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Xiaodi Hou

  • QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection

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  • Revisiting Batch Normalization For Practical Domain Adaptation

    Yanghao Li;Naiyan Wang;Jianping Shi;Jiaying Liu

  • Understanding and Diagnosing Visual Tracking Systems

    Naiyan Wang;Jianping Shi;Dit-Yan Yeung;Jiaya Jia

  • Like What You Like: Knowledge Distill via Neuron Selectivity Transfer.

    Zehao Huang;Naiyan Wang

  • Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

    Jia-Wang Bian;Zhichao Li;Naiyan Wang;Huangying Zhan

  • Transferring Rich Feature Hierarchies for Robust Visual Tracking

    Naiyan Wang;Siyi Li;Abhinav Gupta;Dit-Yan Yeung

  • DevNet: A Deep Event Network for multimedia event detection and evidence recounting

    Chuang Gan;Naiyan Wang;Yi Yang;Dit-Yan Yeung

  • Sequence Level Semantics Aggregation for Video Object Detection

    Haiping Wu;Yuntao Chen;Naiyan Wang;Zhao-Xiang Zhang

  • Cross View Fusion for 3D Human Pose Estimation

    Haibo Qiu;Chunyu Wang;Jingdong Wang;Naiyan Wang

  • RangeDet: In Defense of Range View for LiDAR-Based 3D Object Detection

    Lue Fan;Xuan Xiong;Feng Wang;Naiyan Wang

  • Online Robust Non-negative Dictionary Learning for Visual Tracking

    Naiyan Wang;Jingdong Wang;Dit-Yan Yeung

  • LiDAR R-CNN: An Efficient and Universal 3D Object Detector

    Zhichao Li;Feng Wang;Naiyan Wang

Frequent Co-Authors

Zhaoxiang Zhang
Zhaoxiang Zhang Chinese Academy of Sciences
Dit-Yan Yeung
Dit-Yan Yeung Hong Kong University of Science and Technology
Jiaying Liu
Jiaying Liu Peking University
Chunhua Shen
Chunhua Shen Zhejiang University
Jianping Shi
Jianping Shi SenseTime
Jingdong Wang
Jingdong Wang Baidu (China)
Ian Reid
Ian Reid University of Adelaide
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Jiaya Jia
Jiaya Jia Hong Kong University of Science and Technology
Fatih Porikli
Fatih Porikli Australian National University

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