H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 58 Citations 13,224 364 World Ranking 1762 National Ranking 164

Research.com Recognitions

Awards & Achievements

2021 - IEEE Fellow For contributions to video coding and multimedia content analysis

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Artificial intelligence, Pattern recognition, Computer vision, Image retrieval and Feature extraction are his primary areas of study. His Artificial intelligence research incorporates elements of Machine learning and Quantization. His research in Pattern recognition intersects with topics in Image quality, Gesture recognition, Eye tracking, Visualization and Generative model.

His study in the field of Image processing, Video tracking and Iterative reconstruction also crosses realms of Source code. The study incorporates disciplines such as Full text search, Ranking, Categorization and Spatial contextual awareness in addition to Image retrieval. His Feature extraction research incorporates themes from Entropy, Classifier, Inpainting, Feature detection and Discriminative model.

His most cited work include:

  • Jointly Modeling Embedding and Translation to Bridge Video and Language (413 citations)
  • The sixth visual object tracking VOT2018 challenge results (299 citations)
  • The Visual Object Tracking VOT2017 Challenge Results (285 citations)

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

Houqiang Li spends much of his time researching Artificial intelligence, Computer vision, Pattern recognition, Algorithm and Decoding methods. His research related to Feature extraction, Motion compensation, Multiview Video Coding, Convolutional neural network and Image might be considered part of Artificial intelligence. His Multiview Video Coding study incorporates themes from Coding tree unit and Scalable Video Coding.

His study on Data compression, Pixel and Video tracking is often connected to Encoder as part of broader study in Computer vision. His work in the fields of Pattern recognition, such as Discriminative model, overlaps with other areas such as Sign language. In the field of Algorithm, his study on Lossless compression and Quantization overlaps with subjects such as Distortion.

He most often published in these fields:

  • Artificial intelligence (68.05%)
  • Computer vision (38.29%)
  • Pattern recognition (26.91%)

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

  • Artificial intelligence (68.05%)
  • Pattern recognition (26.91%)
  • Computer vision (38.29%)

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

Houqiang Li mainly focuses on Artificial intelligence, Pattern recognition, Computer vision, Algorithm and Feature extraction. His research in Artificial intelligence tackles topics such as Natural language processing which are related to areas like Embedding. His Pattern recognition research is multidisciplinary, incorporating perspectives in Image and Robustness.

In his research, Object detection is intimately related to Frame, which falls under the overarching field of Computer vision. His work carried out in the field of Algorithm brings together such families of science as Sequence and Inference. His Feature extraction study combines topics from a wide range of disciplines, such as Regularization and Visualization.

Between 2019 and 2021, his most popular works were:

  • Incorporating BERT into Neural Machine Translation (69 citations)
  • Deep Learning-Based Video Coding: A Review and a Case Study (31 citations)
  • Incorporating BERT into Neural Machine Translation (22 citations)

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

  • Artificial intelligence
  • Computer vision
  • Algorithm

His scientific interests lie mostly in Artificial intelligence, Algorithm, Computer vision, Deep learning and Data compression. His Artificial intelligence research includes themes of Machine learning and Natural language processing. His Computer vision study frequently intersects with other fields, such as Frame.

His Deep learning study also includes

  • Sensory cue that intertwine with fields like Speech recognition,

  • Facial expression together with Gesture recognition, Semantics, Sentence and Automatic summarization. His research on Data compression also deals with topics like

  • Point cloud, which have a strong connection to Minimum bounding box and Transform coding,

  • Entropy, Reference frame and Motion compensation most often made with reference to Motion vector,

  • Lagrange multiplier, Coding tree unit and Reference software most often made with reference to Pixel. His Feature extraction study deals with Feature intersecting with Object detection.

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

The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)

1389 Citations

Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy

Xiaodong Yang;Houqiang Li;Xiaobo Zhou.
IEEE Transactions on Circuits and Systems (2006)

402 Citations

The sixth visual object tracking VOT2018 challenge results

Matej Kristan;Aleš Leonardis;Jiří Matas;Michael Felsberg.
european conference on computer vision (2019)

343 Citations

Jointly Modeling Embedding and Translation to Bridge Video and Language

Yingwei Pan;Tao Mei;Ting Yao;Houqiang Li.
computer vision and pattern recognition (2016)

333 Citations

Adaptive Directional Lifting-Based Wavelet Transform for Image Coding

Wenpeng Ding;Feng Wu;Xiaolin Wu;Shipeng Li.
IEEE Transactions on Image Processing (2007)

284 Citations

λ domain rate control algorithm for high efficiency video coding.

Bin Li;Houqiang Li;Li Li;Jinlei Zhang.
IEEE Transactions on Image Processing (2014)

275 Citations

Spatial coding for large scale partial-duplicate web image search

Wengang Zhou;Yijuan Lu;Houqiang Li;Yibing Song.
acm multimedia (2010)

273 Citations

CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

Jianmin Bao;Dong Chen;Fang Wen;Houqiang Li.
international conference on computer vision (2017)

226 Citations

Video Captioning with Transferred Semantic Attributes

Yingwei Pan;Ting Yao;Houqiang Li;Tao Mei.
computer vision and pattern recognition (2017)

220 Citations

Principal Visual Word Discovery for Automatic License Plate Detection

Wengang Zhou;Houqiang Li;Yijuan Lu;Qi Tian.
IEEE Transactions on Image Processing (2012)

219 Citations

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Best Scientists Citing Houqiang Li

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City University of Hong Kong

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Peking University

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Jiebo Luo

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University of Rochester

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Yao Zhao

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Beijing Jiaotong University

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Huchuan Lu

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