D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 30 Citations 4,326 129 World Ranking 8756 National Ranking 817

Overview

What is she best known for?

The fields of study she is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

Di Huang focuses on Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Face. Her biological study focuses on Gesture. Her study in Pattern recognition is interdisciplinary in nature, drawing from both Artificial neural network and Robustness.

Her Computer vision research includes themes of Discriminative model and Pattern recognition. The Facial recognition system study combines topics in areas such as Facial expression and Pyramid. Her studies in Face integrate themes in fields like Affective computing, Feature, State and Categorization.

Her most cited work include:

  • Local Binary Patterns and Its Application to Facial Image Analysis: A Survey (643 citations)
  • Receptive Field Block Net for Accurate and Fast Object Detection (293 citations)
  • Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors (100 citations)

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

Di Huang mainly investigates Artificial intelligence, Pattern recognition, Computer vision, Facial recognition system and Face. Her research related to Feature extraction, Discriminative model, Robustness, Local binary patterns and Deep learning might be considered part of Artificial intelligence. Her research in Pattern recognition intersects with topics in Representation, Histogram, Facial expression and Feature.

Di Huang regularly links together related areas like Identification in her Computer vision studies. Di Huang has included themes like Contextual image classification, Pose and Image fusion in her Facial recognition system study. Her work carried out in the field of Face brings together such families of science as Pyramid and Solid modeling.

She most often published in these fields:

  • Artificial intelligence (90.20%)
  • Pattern recognition (61.44%)
  • Computer vision (49.02%)

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

  • Artificial intelligence (90.20%)
  • Pattern recognition (61.44%)
  • Computer vision (49.02%)

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

Her primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Object detection and Feature extraction. Her study on Face, Deep learning and Discriminative model is often connected to Domain as part of broader study in Artificial intelligence. Her Facial recognition system study in the realm of Face interacts with subjects such as Space.

Her Pattern recognition research is multidisciplinary, incorporating perspectives in Facial expression recognition, Feature, Pyramid, Generative adversarial network and Rgb image. Her work on Orientation and Iterative reconstruction as part of general Computer vision study is frequently connected to Optical illusion and Focus, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. Her Feature extraction research is multidisciplinary, incorporating elements of Binary pattern, Representation, Histogram, Discriminant and Pattern recognition.

Between 2019 and 2021, her most popular works were:

  • Local Discriminant Direction Binary Pattern for Palmprint Representation and Recognition (29 citations)
  • Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation (16 citations)
  • Pay Attention to Them: Deep Reinforcement Learning-Based Cascade Object Detection (14 citations)

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

  • Artificial intelligence
  • Computer vision
  • Machine learning

Her scientific interests lie mostly in Artificial intelligence, Pattern recognition, Object detection, Feature extraction and Face. Artificial intelligence and Computer vision are commonly linked in her work. Her Image resolution study, which is part of a larger body of work in Computer vision, is frequently linked to Detector, bridging the gap between disciplines.

In general Pattern recognition, her work in Feature vector is often linked to Domain linking many areas of study. Her research in Feature extraction intersects with topics in Representation, Histogram, Discriminant, Discriminative model and Feature selection. The Facial recognition system and Age progression research Di Huang does as part of her general Face study is frequently linked to other disciplines of science, such as Space, Generator and Identity, therefore creating a link between diverse domains of science.

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.

Best Publications

Local Binary Patterns and Its Application to Facial Image Analysis: A Survey

Di Huang;Caifeng Shan;M. Ardabilian;Yunhong Wang.
systems man and cybernetics (2011)

999 Citations

Receptive Field Block Net for Accurate and Fast Object Detection

Songtao Liu;Di Huang;Yunhong Wang.
european conference on computer vision (2018)

386 Citations

3-D Face Recognition Using eLBP-Based Facial Description and Local Feature Hybrid Matching

Di Huang;M. Ardabilian;Yunhong Wang;Liming Chen.
IEEE Transactions on Information Forensics and Security (2012)

128 Citations

Depression recognition based on dynamic facial and vocal expression features using partial least square regression

Hongying Meng;Di Huang;Heng Wang;Hongyu Yang.
acm multimedia (2013)

123 Citations

Towards 3D Face Recognition in the Real: A Registration-Free Approach Using Fine-Grained Matching of 3D Keypoint Descriptors

Huibin Li;Di Huang;Jean-Marie Morvan;Yunhong Wang.
International Journal of Computer Vision (2015)

121 Citations

Adaptive NMS: Refining Pedestrian Detection in a Crowd

Songtao Liu;Di Huang;Yunhong Wang.
computer vision and pattern recognition (2019)

117 Citations

View-Invariant Discriminative Projection for Multi-View Gait-Based Human Identification

Maodi Hu;Yunhong Wang;Zhaoxiang Zhang;James J. Little.
IEEE Transactions on Information Forensics and Security (2013)

106 Citations

DepAudioNet: An Efficient Deep Model for Audio based Depression Classification

Xingchen Ma;Hongyu Yang;Qiang Chen;Di Huang.
acm multimedia (2016)

100 Citations

Learning Face Age Progression: A Pyramid Architecture of GANs

Hongyu Yang;Di Huang;Yunhong Wang;Anil K. Jain.
computer vision and pattern recognition (2018)

99 Citations

Learning Spatial Fusion for Single-Shot Object Detection

Songtao Liu;Di Huang;Yunhong Wang.
arXiv: Computer Vision and Pattern Recognition (2019)

91 Citations

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Best Scientists Citing Di Huang

Liming Chen

Liming Chen

École Centrale de Lyon

Publications: 23

Guoying Zhao

Guoying Zhao

University of Oulu

Publications: 19

Zhenan Sun

Zhenan Sun

Chinese Academy of Sciences

Publications: 19

Yanwei Pang

Yanwei Pang

Tianjin University

Publications: 18

Tieniu Tan

Tieniu Tan

Chinese Academy of Sciences

Publications: 16

Yunhong Wang

Yunhong Wang

Beihang University

Publications: 15

Maja Pantic

Maja Pantic

Imperial College London

Publications: 15

Ioannis A. Kakadiaris

Ioannis A. Kakadiaris

University of Houston

Publications: 14

Alberto Del Bimbo

Alberto Del Bimbo

University of Florence

Publications: 14

Ling Shao

Ling Shao

Inception Institute of Artificial Intelligence

Publications: 13

Guodong Guo

Guodong Guo

Baidu (China)

Publications: 12

Liang Wang

Liang Wang

Chinese Academy of Sciences

Publications: 11

Michel Valstar

Michel Valstar

University of Nottingham

Publications: 11

Matti Pietikäinen

Matti Pietikäinen

University of Oulu

Publications: 11

Stefanos Zafeiriou

Stefanos Zafeiriou

Imperial College London

Publications: 10

Ajmal Mian

Ajmal Mian

University of Western Australia

Publications: 10

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