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 35 Citations 5,507 136 World Ranking 5970 National Ranking 569

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Operating system
  • Computer vision

His main research concerns Artificial intelligence, Data compression, Computer vision, Encoder and Decoding methods. His research combines Pattern recognition and Artificial intelligence. His Data compression study also includes fields such as

  • Image compression which is related to area like Rate–distortion optimization and Entropy encoding,
  • Transform coding, Distributed source coding and Codec most often made with reference to Wavelet transform.

Within one scientific family, Yan Lu focuses on topics pertaining to Rate–distortion theory under Encoder, and may sometimes address concerns connected to Propagation of uncertainty and Error detection and correction. His Decoding methods research includes themes of Multiview Video Coding, Real-time computing and Computer engineering. He combines subjects such as Theoretical computer science and Context-adaptive binary arithmetic coding with his study of Coding tree unit.

His most cited work include:

  • Rate-distortion analysis for H.264/AVC video coding and its application to rate control (289 citations)
  • Relational Knowledge Distillation (195 citations)
  • Virtualized Screen: A Third Element for Cloud–Mobile Convergence (158 citations)

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

Yan Lu spends much of his time researching Artificial intelligence, Computer vision, Algorithm, Data compression and Decoding methods. His studies link Pattern recognition with Artificial intelligence. His Computer vision course of study focuses on Codec and Frame rate and Cloud computing.

His research investigates the connection with Algorithm and areas like Encoder which intersect with concerns in Quantization and Rate–distortion theory. His Data compression research is multidisciplinary, incorporating perspectives in Transform coding, Image compression, JPEG 2000 and Wavelet transform. His studies in Decoding methods integrate themes in fields like Real-time computing, Theoretical computer science and Encoding.

He most often published in these fields:

  • Artificial intelligence (56.52%)
  • Computer vision (45.96%)
  • Algorithm (22.36%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (56.52%)
  • Object detection (6.83%)
  • Object (5.59%)

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

His primary scientific interests are in Artificial intelligence, Object detection, Object, Pattern recognition and Computer vision. As part of his studies on Artificial intelligence, he frequently links adjacent subjects like Machine learning. His Object research incorporates elements of Supervised learning, Bilinear interpolation and Pooling.

His Pattern recognition research includes elements of Representation, Pixel, Aspect ratio and Pascal. His Monocular and Image processing study in the realm of Computer vision connects with subjects such as Code rate, ENCODE and Transmission. His Benchmark research integrates issues from Margin, Deep learning, State and Relational knowledge.

Between 2016 and 2021, his most popular works were:

  • Relational Knowledge Distillation (195 citations)
  • MonoGRNet: A Geometric Reasoning Network for Monocular 3D Object Localization (80 citations)
  • Affinity Derivation and Graph Merge for Instance Segmentation (65 citations)

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

  • Artificial intelligence
  • Operating system
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Object detection, Machine learning, Relational knowledge and State. His Artificial intelligence study frequently links to related topics such as Pattern recognition. A significant part of his Object detection research incorporates Object and Computer vision studies.

His work on Triplet loss, Re identification and Discriminative model as part of general Machine learning research is frequently linked to Task analysis, thereby connecting diverse disciplines of science. His Relational knowledge research incorporates themes from Margin, Deep learning, Feature learning and Benchmark. The concepts of his Artificial neural network study are interwoven with issues in Pixel, Segmentation and Test set.

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

Rate-distortion analysis for H.264/AVC video coding and its application to rate control

S. Ma;Wen Gao;Yan Lu.
IEEE Transactions on Circuits and Systems for Video Technology (2005)

382 Citations

Interactive virtual display system for ubiquitous devices

Yan Lu;Wen Sun;Shipeng Li.
(2011)

283 Citations

Adaptive rate control for H.264

Zhengguo Li;Wen Gao;Feng Pan;S. W. Ma.
Journal of Visual Communication and Image Representation (2006)

203 Citations

Joint Source-Channel Rate-Distortion Optimization for H.264 Video Coding Over Error-Prone Networks

Yuan Zhang;Wen Gao;Yan Lu;Qingming Huang.
IEEE Transactions on Multimedia (2007)

201 Citations

Relational Knowledge Distillation

Wonpyo Park;Dongju Kim;Yan Lu;Minsu Cho.
computer vision and pattern recognition (2019)

195 Citations

Virtualized Screen: A Third Element for Cloud–Mobile Convergence

Yan Lu;Shipeng Li;Huifeng Shen.
IEEE MultiMedia (2011)

181 Citations

Distributed Multi-view Video Coding

Xun Guo;Yan Lu;Feng Wu;Wen Gao.
visual communications and image processing (2006)

150 Citations

Free Viewpoint Switching in Multi-view Video Streaming Using Wyner-Ziv Video Coding

Xun Guo;Yan Lu;Feng Wu;Wen Gao.
visual communications and image processing (2006)

150 Citations

Multi-view video coding based on temporal and view decomposition

Feng Wu;Shipeng Li;Wenxian Yang;Yan Lu.
(2005)

144 Citations

Using a proxy server for a mobile browser

Huifeng Shen;Haicheng Sun;Zhaotai Pan;Yan Lu.
(2011)

142 Citations

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