H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 49 Citations 9,389 151 World Ranking 3070 National Ranking 1620

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Machine learning

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer facial animation, Face and Animation. His studies link Expression with Artificial intelligence. His Computer vision research is multidisciplinary, incorporating elements of Computer graphics and Robustness.

His Computer graphics study integrates concerns from other disciplines, such as 3d scanning and Noise. His work carried out in the field of Animation brings together such families of science as Geometry and Facial motion capture. His research investigates the link between Pixel and topics such as Rendering that cross with problems in Convolutional neural network, Graphics, Silhouette and Image formation.

His most cited work include:

  • High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis (470 citations)
  • Realtime performance-based facial animation (460 citations)
  • Global correspondence optimization for non-rigid registration of depth scans (321 citations)

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

Hao Li focuses on Artificial intelligence, Computer vision, Deep learning, Rendering and Animation. His Artificial intelligence study frequently draws connections to adjacent fields such as Pattern recognition. His research in Pattern recognition focuses on subjects like Inpainting, which are connected to Feature.

His Computer vision study combines topics in areas such as Computer facial animation, Expression, Artificial neural network and Robustness. The Deep learning study which covers Representation that intersects with Range. Image formation is closely connected to Graphics in his research, which is encompassed under the umbrella topic of Rendering.

He most often published in these fields:

  • Artificial intelligence (87.59%)
  • Computer vision (71.53%)
  • Deep learning (26.28%)

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

  • Artificial intelligence (87.59%)
  • Computer vision (71.53%)
  • Rendering (20.44%)

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

Hao Li spends much of his time researching Artificial intelligence, Computer vision, Rendering, Animation and Deep learning. His work on Iterative reconstruction, RGB color model and Octree as part of general Artificial intelligence study is frequently connected to Teleportation and Code, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them. His Computer vision research is multidisciplinary, relying on both Artificial neural network, Surface reconstruction, Graphics, Generative grammar and Robustness.

His research integrates issues of Facial hair, Motion capture, Implicit function and Face in his study of Rendering. His Face research incorporates elements of Data visualization and Generative model. As part of the same scientific family, Hao Li usually focuses on Deep learning, concentrating on Human–computer interaction and intersecting with Feature.

Between 2019 and 2021, his most popular works were:

  • ARCH: Animatable Reconstruction of Clothed Humans (42 citations)
  • ARCH: Animatable Reconstruction of Clothed Humans (9 citations)
  • DoubleFusion: Real-Time Capture of Human Performances with Inner Body Shapes from a Single Depth Sensor (9 citations)

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

  • Artificial intelligence
  • Computer vision
  • Geometry

His primary scientific interests are in Artificial intelligence, Computer vision, Rendering, Implicit function and 3D reconstruction. Hao Li is involved in the study of Artificial intelligence that focuses on Fast motion in particular. His Fast motion research includes themes of Video tracking, Tracking, Match moving and Retargeting.

Iterative reconstruction is the focus of his Computer vision research. His Animation research extends to 3D reconstruction, which is thematically connected. The concepts of his Generative model study are interwoven with issues in Data modeling, Facial recognition system, Face, Deep learning and Computer animation.

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

Realtime performance-based facial animation

Thibaut Weise;Sofien Bouaziz;Hao Li;Mark Pauly.
international conference on computer graphics and interactive techniques (2011)

652 Citations

High-Resolution Image Inpainting Using Multi-scale Neural Patch Synthesis

Chao Yang;Xin Lu;Zhe Lin;Eli Shechtman.
computer vision and pattern recognition (2017)

506 Citations

Global correspondence optimization for non-rigid registration of depth scans

Hao Li;Robert W. Sumner;Mark Pauly.
symposium on geometry processing (2008)

422 Citations

Robust single-view geometry and motion reconstruction

Hao Li;Bart Adams;Leonidas J. Guibas;Mark Pauly.
international conference on computer graphics and interactive techniques (2009)

370 Citations

Realtime facial animation with on-the-fly correctives

Hao Li;Jihun Yu;Yuting Ye;Chris Bregler.
international conference on computer graphics and interactive techniques (2013)

279 Citations

Face/Off: live facial puppetry

Thibaut Weise;Hao Li;Luc Van Gool;Mark Pauly.
symposium on computer animation (2009)

248 Citations

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

Shunsuke Saito;Zeng Huang;Ryota Natsume;Shigeo Morishima.
international conference on computer vision (2019)

232 Citations

Example-based facial rigging

Hao Li;Thibaut Weise;Mark Pauly.
international conference on computer graphics and interactive techniques (2010)

211 Citations

3D self-portraits

Hao Li;Etienne Vouga;Anton Gudym;Linjie Luo.
international conference on computer graphics and interactive techniques (2013)

204 Citations

Learning a model of facial shape and expression from 4D scans

Tianye Li;Timo Bolkart;Michael J. Black;Hao Li.
ACM Transactions on Graphics (2017)

187 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.

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