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 14,290 389 World Ranking 1398 National Ranking 24

Research.com Recognitions

Awards & Achievements

2014 - IEEE Fellow For contributions to multimedia content processing and security

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

Mohan S. Kankanhalli mostly deals with Artificial intelligence, Computer vision, Multimedia, Machine learning and Digital watermarking. Artificial intelligence connects with themes related to Pattern recognition in his study. His Computer vision research incorporates themes from Content and Visual cryptography.

He interconnects Benchmarking and Data mining, Computer graphics in the investigation of issues within Multimedia. His Machine learning research is multidisciplinary, incorporating elements of Topic model and Semantics. In his research, Copy protection, Cryptography, Speech coding and Multimedia document is intimately related to Watermark, which falls under the overarching field of Digital watermarking.

His most cited work include:

  • Multimodal fusion for multimedia analysis: a survey (678 citations)
  • Shape measures for content based image retrieval: a comparison (356 citations)
  • Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition (242 citations)

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

Mohan S. Kankanhalli mainly focuses on Artificial intelligence, Computer vision, Multimedia, Machine learning and Speech recognition. Artificial intelligence is frequently linked to Pattern recognition in his study. His Computer vision and Digital watermarking, Segmentation, Image processing, Multiview Video Coding and Image segmentation investigations all form part of his Computer vision research activities.

As part of his studies on Digital watermarking, Mohan S. Kankanhalli often connects relevant areas like Computer security. By researching both Speech recognition and Audio signal processing, he produces research that crosses academic boundaries. His Video tracking study focuses on Video compression picture types in particular.

He most often published in these fields:

  • Artificial intelligence (43.73%)
  • Computer vision (23.33%)
  • Multimedia (16.67%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (43.73%)
  • Machine learning (11.37%)
  • Deep learning (5.29%)

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

His main research concerns Artificial intelligence, Machine learning, Deep learning, Pattern recognition and Object. The study incorporates disciplines such as Computer vision and Code in addition to Artificial intelligence. When carried out as part of a general Computer vision research project, his work on Segmentation is frequently linked to work in Action recognition, therefore connecting diverse disciplines of study.

His Machine learning research includes themes of Adversarial system and Robustness. The various areas that he examines in his Deep learning study include Context, Feature, Representation, Discriminative model and Focus. His research in Object intersects with topics in Scene graph, Theoretical computer science and Set.

Between 2018 and 2021, his most popular works were:

  • Learning to Learn From Noisy Labeled Data (108 citations)
  • MMALFM: Explainable Recommendation by Leveraging Reviews and Images (105 citations)
  • Learning to Detect Human-Object Interactions With Knowledge (53 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

His primary scientific interests are in Artificial intelligence, Machine learning, Artificial neural network, Deep learning and Robustness. The concepts of his Artificial intelligence study are interwoven with issues in Computer vision and Set. His Interpretability, Support vector machine and Recommender system study, which is part of a larger body of work in Machine learning, is frequently linked to Empirical research, bridging the gap between disciplines.

His Artificial neural network research also works with subjects such as

  • Preference that intertwine with fields like Metric, Triangle inequality, Purchasing, Information retrieval and Product,
  • Attentional bias, Visual attention, Gaze and Facial recognition system most often made with reference to Feature vector. As a part of the same scientific family, he mostly works in the field of Deep learning, focusing on Pattern recognition and, on occasion, Overfitting and Noise. His study in Robustness is interdisciplinary in nature, drawing from both Adversarial system and Boosting.

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

Multimodal fusion for multimedia analysis: a survey

Pradeep K. Atrey;M. Anwar Hossain;Abdulmotaleb El Saddik;Mohan S. Kankanhalli.
Multimedia Systems (2010)

980 Citations

Shape measures for content based image retrieval: a comparison

Babu M. Mehtre;Mohan S. Kankanhalli;Wing Foon Lee.
Information Processing and Management (1997)

620 Citations

Color matching for image retrieval

Babu M. Mehtre;Mohan S. Kankanhalli;A. Desai Narasimhalu;Guo Chang Man.
Pattern Recognition Letters (1995)

331 Citations

Anonymous secure routing in mobile ad-hoc networks

Bo Zhu;Zhiguo Wan;M.S. Kankanhalli;Feng Bao.
local computer networks (2004)

321 Citations

Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda

Ashraf Abdul;Jo Vermeulen;Danding Wang;Brian Y. Lim.
human factors in computing systems (2018)

313 Citations

Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition

An-An Liu;Yu-Ting Su;Wei-Zhi Nie;Mohan Kankanhalli.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2017)

286 Citations

Controlled dissemination of digital information

Arcot D Narasimhalu;Weiguo Wang;Mohan S Kankanhall Kankanhalli.
(1994)

276 Citations

Audio Based Event Detection for Multimedia Surveillance

P.K. Atrey;N.C. Maddage;M.S. Kankanhalli.
international conference on acoustics, speech, and signal processing (2006)

249 Citations

Depth Matters: Influence of Depth Cues on Visual Saliency

Congyan Lang;Tam V. Nguyen;Harish Katti;Karthik Yadati.
european conference on computer vision (2012)

249 Citations

An eye fixation database for saliency detection in images

Subramanian Ramanathan;Harish Katti;Nicu Sebe;Mohan Kankanhalli.
european conference on computer vision (2010)

244 Citations

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Best Scientists Citing Mohan S. Kankanhalli

Tat-Seng Chua

Tat-Seng Chua

National University of Singapore

Publications: 40

Changsheng Xu

Changsheng Xu

Chinese Academy of Sciences

Publications: 33

Qi Zhao

Qi Zhao

University of Minnesota

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Mark J. Stefik

Mark J. Stefik

Palo Alto Research Center

Publications: 27

Xiangnan He

Xiangnan He

University of Science and Technology of China

Publications: 25

Qi Tian

Qi Tian

Huawei Technologies (China)

Publications: 25

Liqiang Nie

Liqiang Nie

Shandong University

Publications: 24

Ali Borji

Ali Borji

Verizon (United States)

Publications: 21

Saraju P. Mohanty

Saraju P. Mohanty

University of North Texas

Publications: 21

Meng Wang

Meng Wang

Hefei University of Technology

Publications: 20

Yongdong Zhang

Yongdong Zhang

University of Science and Technology of China

Publications: 20

Ramesh Jain

Ramesh Jain

University of California, Irvine

Publications: 19

Chin-Chen Chang

Chin-Chen Chang

Feng Chia University

Publications: 18

Shu-Ching Chen

Shu-Ching Chen

Florida International University

Publications: 18

Bernhard Rinner

Bernhard Rinner

University of Klagenfurt

Publications: 16

Ling-Yu Duan

Ling-Yu Duan

Peking University

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