D-Index & Metrics Best Publications

Kris M. Kitani

Carnegie Mellon University
United States

D-Index & Metrics 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.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 41 Citations 8,560 218 World Ranking 5454 National Ranking 2669

Overview

What is he best known for?

The fields of study Kris M. Kitani is best known for:

Enzyme
Antioxidant
High cholesterol

His Imitation course of study focuses on Social psychology and Id, ego and super-ego. His Estimation study which covers Systems engineering that intersects with Task (project management). Many of his studies involve connections with topics such as Systems engineering and Task (project management). As part of his studies on Biochemistry, Kris M. Kitani frequently links adjacent subjects like Membrane. His study ties his expertise on Biochemistry together with the subject of Membrane. His work on Network model expands to the thematically related Artificial intelligence. Kris M. Kitani combines Antioxidant and Oxidative stress in his research. In his study, he carries out multidisciplinary Oxidative stress and Antioxidant research. He connects Enzyme with Riboflavin in his research.

His most cited work include:

Antioxidative Activity of Green Tea Polyphenol in Cholesterol-Fed Rats (215 citations)
Deep Supervised Hashing with Triplet Labels (77 citations)
The effect of a long term (6 months) treatment with (−)deprenyl on antioxidant enzyme activities in selective brain regions in old female fischer 344 rats (43 citations)

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

Much of his study explores Artificial intelligence relationship to Object (grammar). Kris M. Kitani integrates several fields in his works, including Biochemistry and Enzyme. Kris M. Kitani performs multidisciplinary study on Enzyme and Biochemistry in his works. Kris M. Kitani integrates Machine learning with Feature learning in his research. In his research, Kris M. Kitani performs multidisciplinary study on Feature learning and Machine learning. Kris M. Kitani conducts interdisciplinary study in the fields of Internal medicine and Endocrinology through his research. In his works, he conducts interdisciplinary research on Endocrinology and Internal medicine. He integrates Artificial neural network with Reinforcement learning in his study. In his research, he undertakes multidisciplinary study on Reinforcement learning and Artificial neural network.

Kris M. Kitani most often published in these fields:

Artificial intelligence (51.43%)
Biochemistry (37.14%)
Machine learning (34.29%)

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)

1825 Citations

Activity forecasting

Kris M. Kitani;Brian D. Ziebart;James Andrew Bagnell;Martial Hebert.
european conference on computer vision (2012)

746 Citations

Pixel-Level Hand Detection in Ego-centric Videos

Cheng Li;Kris M. Kitani.
computer vision and pattern recognition (2013)

306 Citations

Human motion trajectory prediction: a survey:

Andrey Rudenko;Andrey Rudenko;Luigi Palmieri;Michael Herman;Kris M. Kitani.
The International Journal of Robotics Research (2020)

287 Citations

Fast unsupervised ego-action learning for first-person sports videos

Kris M. Kitani;Takahiro Okabe;Yoichi Sato;Akihiro Sugimoto.
computer vision and pattern recognition (2011)

282 Citations

Going Deeper into First-Person Activity Recognition

Minghuang Ma;Haoqi Fan;Kris M. Kitani.
computer vision and pattern recognition (2016)

272 Citations

NavCog: a navigational cognitive assistant for the blind

Dragan Ahmetovic;Cole Gleason;Chengxiong Ruan;Kris Kitani.
human computer interaction with mobile devices and services (2016)

221 Citations

PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings

Nicholas Rhinehart;Rowan Mcallister;Kris Kitani;Sergey Levine.
international conference on computer vision (2019)

217 Citations

R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

Nicholas Rhinehart;Kris M. Kitani;Paul Vernaza.
european conference on computer vision (2018)

182 Citations

Learning scene-specific pedestrian detectors without real data

Hironori Hattori;Vishnu Naresh Boddeti;Kris Kitani;Takeo Kanade.
computer vision and pattern recognition (2015)

167 Citations

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Frequent Co-Authors

External Links

Personal Website for Kris M. Kitani