H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 51 Citations 19,001 141 World Ranking 2806 National Ranking 262

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Ping Luo focuses on Artificial intelligence, Pattern recognition, Machine learning, Deep learning and Face. He works mostly in the field of Artificial intelligence, limiting it down to topics relating to Computer vision and, in certain cases, Discriminative model. His Pattern recognition research integrates issues from Pixel and Pascal.

He interconnects Categorization and Scale in the investigation of issues within Machine learning. His studies deal with areas such as Object and Face detection as well as Deep learning. His Face study incorporates themes from Representation and Benchmark.

His most cited work include:

  • Deep Learning Face Attributes in the Wild (3225 citations)
  • Facial Landmark Detection by Deep Multi-task Learning (930 citations)
  • DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations (841 citations)

What are the main themes of his work throughout his whole career to date?

Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Convolutional neural network are his primary areas of study. His research investigates the connection between Artificial intelligence and topics such as Machine learning that intersect with problems in Robustness. The various areas that Ping Luo examines in his Pattern recognition study include Object detection, Normalization, Face and Feature.

His work on Pixel, Feature extraction, Landmark and Real image as part of general Computer vision study is frequently linked to Clothing, bridging the gap between disciplines. His Segmentation research is multidisciplinary, incorporating elements of Representation and Parsing. His biological study spans a wide range of topics, including Markov random field, Iterative method and Inference.

He most often published in these fields:

  • Artificial intelligence (84.36%)
  • Pattern recognition (45.02%)
  • Computer vision (25.12%)

What were the highlights of his more recent work (between 2019-2021)?

  • Artificial intelligence (84.36%)
  • Pattern recognition (45.02%)
  • Computer vision (25.12%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Pattern recognition, Computer vision, Segmentation and Image. His research related to Feature, Object, Object detection, Artificial neural network and Deep learning might be considered part of Artificial intelligence. Ping Luo is interested in Image segmentation, which is a field of Pattern recognition.

His research integrates issues of Image, Parsing and Minimum bounding box in his study of Segmentation. His study in the fields of Image processing and Noise under the domain of Image overlaps with other disciplines such as Consistency. His Pose study which covers Benchmark that intersects with Selection, Dynamic range and Machine learning.

Between 2019 and 2021, his most popular works were:

  • MaskGAN: Towards Diverse and Interactive Facial Image Manipulation (135 citations)
  • PolarMask: Single Shot Instance Segmentation With Polar Representation (104 citations)
  • Learning Depth-Guided Convolutions for Monocular 3D Object Detection (35 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object detection, Pattern recognition and Object. All of his Artificial intelligence and Segmentation, Feature, Image, Feature extraction and Face investigations are sub-components of the entire Artificial intelligence study. His Image segmentation study in the realm of Segmentation interacts with subjects such as Process.

His study in Face is interdisciplinary in nature, drawing from both Image plane and Human–computer interaction. His Pattern recognition research includes themes of Pose and Benchmark. His Deep learning research is multidisciplinary, incorporating perspectives in Artificial neural network, Normalization and Centralizer and normalizer.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Deep Learning Face Attributes in the Wild

Ziwei Liu;Ping Luo;Xiaogang Wang;Xiaoou Tang.
international conference on computer vision (2015)

2729 Citations

Facial Landmark Detection by Deep Multi-task Learning

Zhanpeng Zhang;Ping Luo;Chen Change Loy;Xiaoou Tang.
european conference on computer vision (2014)

1020 Citations

DeepFashion: Powering Robust Clothes Recognition and Retrieval with Rich Annotations

Ziwei Liu;Ping Luo;Shi Qiu;Xiaogang Wang.
computer vision and pattern recognition (2016)

697 Citations

WIDER FACE: A Face Detection Benchmark

Shuo Yang;Ping Luo;Chen Change Loy;Xiaoou Tang.
computer vision and pattern recognition (2016)

601 Citations

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

Linjie Yang;Ping Luo;Chen Change Loy;Xiaoou Tang.
computer vision and pattern recognition (2015)

592 Citations

Semantic Image Segmentation via Deep Parsing Network

Ziwei Liu;Xiaoxiao Li;Ping Luo;Chen-Change Loy.
international conference on computer vision (2015)

433 Citations

Deep Learning Strong Parts for Pedestrian Detection

Yonglong Tian;Ping Luo;Xiaogang Wang;Xiaoou Tang.
international conference on computer vision (2015)

429 Citations

Pedestrian detection aided by deep learning semantic tasks

Yonglong Tian;Ping Luo;Xiaogang Wang;Xiaoou Tang.
computer vision and pattern recognition (2015)

399 Citations

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

Shuo Yang;Ping Luo;Chen-Change Loy;Xiaoou Tang.
international conference on computer vision (2015)

398 Citations

Learning Deep Representation for Face Alignment with Auxiliary Attributes

Zhanpeng Zhang;Ping Luo;Chen Change Loy;Xiaoou Tang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

387 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

If you think any of the details on this page are incorrect, let us know.

Contact us

Top Scientists Citing Ping Luo

Liang Lin

Liang Lin

Sun Yat-sen University

Publications: 101

Xiaogang Wang

Xiaogang Wang

Chinese University of Hong Kong

Publications: 97

Wanli Ouyang

Wanli Ouyang

University of Sydney

Publications: 67

Rama Chellappa

Rama Chellappa

Johns Hopkins University

Publications: 66

Shuicheng Yan

Shuicheng Yan

National University of Singapore

Publications: 64

Chen Change Loy

Chen Change Loy

Nanyang Technological University

Publications: 60

Ran He

Ran He

Chinese Academy of Sciences

Publications: 60

Chunhua Shen

Chunhua Shen

University of Adelaide

Publications: 55

Xiaodan Liang

Xiaodan Liang

Sun Yat-sen University

Publications: 53

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 52

Ming-Hsuan Yang

Ming-Hsuan Yang

University of California, Merced

Publications: 51

Nicu Sebe

Nicu Sebe

University of Trento

Publications: 50

Zhen Lei

Zhen Lei

Chinese Academy of Sciences

Publications: 48

Jiashi Feng

Jiashi Feng

National University of Singapore

Publications: 47

Ziwei Liu

Ziwei Liu

Nanyang Technological University

Publications: 47

Something went wrong. Please try again later.