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 62 Citations 17,514 192 World Ranking 1383 National Ranking 78

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary scientific interests are in Artificial intelligence, Shape analysis, Computer vision, Algorithm and Point cloud. His research in Artificial intelligence intersects with topics in Surface reconstruction and Pattern recognition. His Shape analysis research is multidisciplinary, incorporating perspectives in Geometric modeling, 3d shapes, Active shape model, 3d geometry and Machine learning.

His studies in Computer vision integrate themes in fields like Manifold, Process and Polygon. His Algorithm research incorporates elements of Iterative closest point, Set, Outlier and Robustness. As part of one scientific family, Niloy J. Mitra deals mainly with the area of Cognitive neuroscience of visual object recognition, narrowing it down to issues related to the Image retrieval, and often Kadir–Brady saliency detector, Feature extraction and Image resolution.

His most cited work include:

  • Global contrast based salient region detection (2666 citations)
  • Robust global registration (492 citations)
  • Partial and approximate symmetry detection for 3D geometry (439 citations)

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

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Object, Algorithm and Shape analysis. His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition. His Computer vision research is multidisciplinary, relying on both Range and Process.

His Object research incorporates themes from Contrast and Engineering drawing. His Algorithm study integrates concerns from other disciplines, such as Set and Feature. His studies deal with areas such as Geometry processing and Data mining as well as Shape analysis.

He most often published in these fields:

  • Artificial intelligence (49.45%)
  • Computer vision (30.18%)
  • Object (15.27%)

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

  • Artificial intelligence (49.45%)
  • Pattern recognition (10.91%)
  • Computer vision (30.18%)

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

His main research concerns Artificial intelligence, Pattern recognition, Computer vision, Point cloud and Artificial neural network. His research brings together the fields of Identity and Artificial intelligence. Niloy J. Mitra combines subjects such as Pixel, Robustness and Image editing with his study of Pattern recognition.

His biological study spans a wide range of topics, including Motion and Hallucinating. Noise, Differentiable function and Manifold is closely connected to Surface in his research, which is encompassed under the umbrella topic of Point cloud. His study explores the link between Artificial neural network and topics such as Geometry processing that cross with problems in Encoding, Shape analysis, Surface reconstruction and Outlier.

Between 2019 and 2021, his most popular works were:

  • PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds (44 citations)
  • StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows (28 citations)
  • BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images (17 citations)

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

  • Artificial intelligence
  • Computer vision
  • Statistics

Niloy J. Mitra mostly deals with Artificial intelligence, Pattern recognition, Generative model, Computer vision and Identity. Generative grammar, Representation, Deep learning, Shape analysis and Convolution are the subjects of his Artificial intelligence studies. The study incorporates disciplines such as Sampling, Point cloud, Face and Robustness in addition to Pattern recognition.

His Generative model study incorporates themes from Texture, Interpolation, Procedural texture and Set. When carried out as part of a general Computer vision research project, his work on Shadow is frequently linked to work in Object, therefore connecting diverse disciplines of study. His research in Outlier tackles topics such as Artificial neural network which are related to areas like Algorithm.

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

Global contrast based salient region detection

Ming-Ming Cheng;Guo-Xin Zhang;Niloy J. Mitra;Xiaolei Huang.
computer vision and pattern recognition (2011)

3982 Citations

Estimating surface normals in noisy point cloud data

Niloy J. Mitra;An Nguyen.
symposium on computational geometry (2003)

726 Citations

Robust global registration

Natasha Gelfand;Niloy J. Mitra;Leonidas J. Guibas;Helmut Pottmann.
symposium on geometry processing (2005)

687 Citations

Partial and approximate symmetry detection for 3D geometry

Niloy J. Mitra;Leonidas J. Guibas;Mark Pauly.
international conference on computer graphics and interactive techniques (2006)

565 Citations

4-points congruent sets for robust pairwise surface registration

Dror Aiger;Niloy J. Mitra;Daniel Cohen-Or.
international conference on computer graphics and interactive techniques (2008)

563 Citations

ESTIMATING SURFACE NORMALS IN NOISY POINT CLOUD DATA

Niloy J. Mitra;An Thanh Nguyen;Leonidas J. Guibas.
International Journal of Computational Geometry and Applications (2004)

549 Citations

Discovering structural regularity in 3D geometry

Mark Pauly;Niloy J. Mitra;Johannes Wallner;Helmut Pottmann.
international conference on computer graphics and interactive techniques (2008)

428 Citations

Super 4PCS Fast Global Pointcloud Registration via Smart Indexing

Nicolas Mellado;Dror Aiger;Niloy J. Mitra.
symposium on geometry processing (2014)

338 Citations

Example-based 3D scan completion

Mark Pauly;Niloy J. Mitra;Joachim Giesen;Markus Gross.
symposium on geometry processing (2005)

338 Citations

Registration of point cloud data from a geometric optimization perspective

Niloy J. Mitra;Natasha Gelfand;Helmut Pottmann;Leonidas Guibas.
symposium on geometry processing (2004)

334 Citations

Best Scientists Citing Niloy J. Mitra

Leonidas J. Guibas

Leonidas J. Guibas

Stanford University

Publications: 95

Daniel Cohen-Or

Daniel Cohen-Or

Tel Aviv University

Publications: 92

Hao Zhang

Hao Zhang

Simon Fraser University

Publications: 85

Huchuan Lu

Huchuan Lu

Dalian University of Technology

Publications: 73

Kai Xu

Kai Xu

National University of Defense Technology

Publications: 59

Michael M. Bronstein

Michael M. Bronstein

Imperial College London

Publications: 57

Ming-Ming Cheng

Ming-Ming Cheng

Nankai University

Publications: 56

Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

Publications: 55

Shi-Min Hu

Shi-Min Hu

Tsinghua University

Publications: 49

Qixing Huang

Qixing Huang

The University of Texas at Austin

Publications: 47

Ligang Liu

Ligang Liu

University of Science and Technology of China

Publications: 47

Alexander M. Bronstein

Alexander M. Bronstein

Technion – Israel Institute of Technology

Publications: 41

Junwei Han

Junwei Han

Northwestern Polytechnical University

Publications: 38

Zhi Liu

Zhi Liu

Shanghai University

Publications: 38

Baoquan Chen

Baoquan Chen

Peking University

Publications: 36

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

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