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D-Index & Metrics

Computer Science

D-Index
80
Citations
51031
World Ranking
1047
National Ranking
153

Overview

Ping Luo is affiliated with the University of Hong Kong in China. Their research primarily covers the field of computer science, with a focus on areas such as computer vision and pattern recognition, artificial intelligence, molecular biology, infectious diseases, and electrical and electronic engineering.

The scientist's work spans several specialized topics including advanced neural network applications, domain adaptation and few-shot learning, multimodal machine learning applications, advanced image and video retrieval techniques, video surveillance and tracking methods, human pose and action recognition, and generative adversarial networks and image synthesis.

Among their recent publications are the following papers:

  • Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers, 2021, arXiv (Cornell University)
  • PVT v2: Improved baselines with pyramid vision transformer, 2022, Computational Visual Media
  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers, 2021, The Caltech Institute Archives (California Institute of Technology)
  • TransTrack: Multiple Object Tracking with Transformer, 2020, arXiv (Cornell University)

Frequent coauthors in their work include:

  • Enze Xie
  • Wenqi Shao
  • Peize Sun
  • Sheng Jin
  • Wentao Liu

The scientist has contributed extensively to a range of publication venues, with the most frequent being:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Best Publications

  • Deep Learning Face Attributes in the Wild

    Ziwei Liu;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction Without Convolutions

    Wenhai Wang;Enze Xie;Xiang Li;Deng-Ping Fan

  • SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

    Enze Xie;Wenhai Wang;Zhiding Yu;Anima Anandkumar

  • WIDER FACE: A Face Detection Benchmark

    Shuo Yang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • PVTv2: Improved Baselines with Pyramid Vision Transformer

    Wenhai Wang;Enze Xie;Xiang Li;Deng-Ping Fan

  • DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

    Ziwei Liu;Ping Luo;Shi Qiu;Xiaogang Wang

  • Facial Landmark Detection by Deep Multi-task Learning

    Zhanpeng Zhang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • Sparse R-CNN: End-to-End Object Detection with Learnable Proposals

    Peize Sun;Rufeng Zhang;Yi Jiang;Tao Kong

  • Spatial as deep: Spatial CNN for traffic scene understanding

    Xingang Pan;Jianping Shi;Ping Luo;Xiaogang Wang

  • MaskGAN: Towards Diverse and Interactive Facial Image Manipulation

    Cheng-Han Lee;Ziwei Liu;Lingyun Wu;Ping Luo

  • A large-scale car dataset for fine-grained categorization and verification

    Linjie Yang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

    Xingang Pan;Ping Luo;Jianping Shi;Xiaoou Tang

  • Semantic Image Segmentation via Deep Parsing Network

    Ziwei Liu;Xiaoxiao Li;Ping Luo;Chen-Change Loy

  • From Facial Parts Responses to Face Detection: A Deep Learning Approach

    Shuo Yang;Ping Luo;Chen-Change Loy;Xiaoou Tang

  • PolarMask: Single Shot Instance Segmentation With Polar Representation

    Enze Xie;Peize Sun;Xiaoge Song;Wenhai Wang

  • Deep Learning Strong Parts for Pedestrian Detection

    Yonglong Tian;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • DeepID-Net: Deformable deep convolutional neural networks for object detection

    Wanli Ouyang;Xiaogang Wang;Xingyu Zeng;Shi Qiu

  • Pedestrian detection aided by deep learning semantic tasks

    Yonglong Tian;Ping Luo;Xiaogang Wang;Xiaoou Tang

  • Learning Deep Representation for Face Alignment with Auxiliary Attributes

    Zhanpeng Zhang;Ping Luo;Chen Change Loy;Xiaoou Tang

  • Pedestrian Attribute Recognition At Far Distance

    Yubin Deng;Ping Luo;Chen Change Loy;Xiaoou Tang

Frequent Co-Authors

Xiaoou Tang
Xiaoou Tang Chinese University of Hong Kong
Xiaogang Wang
Xiaogang Wang Chinese University of Hong Kong
Chen Change Loy
Chen Change Loy Nanyang Technological University
Ziwei Liu
Ziwei Liu Nanyang Technological University
Liang Lin
Liang Lin Sun Yat-sen University
Jianping Shi
Jianping Shi SenseTime
Wangmeng Zuo
Wangmeng Zuo Harbin Institute of Technology
Wanli Ouyang
Wanli Ouyang Shanghai AI Lab
Chunhua Shen
Chunhua Shen Zhejiang University
Hongsheng Li
Hongsheng Li Chinese University of Hong Kong

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