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.
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.
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.
The Visual Object Tracking VOT2017 Challenge Results
Matej Kristan;Ales Leonardis;Jiri Matas;Michael Felsberg.
international conference on computer vision (2017)
Kris M. Kitani;Brian D. Ziebart;James Andrew Bagnell;Martial Hebert.
european conference on computer vision (2012)
Pixel-Level Hand Detection in Ego-centric Videos
Cheng Li;Kris M. Kitani.
computer vision and pattern recognition (2013)
Human motion trajectory prediction: a survey:
Andrey Rudenko;Andrey Rudenko;Luigi Palmieri;Michael Herman;Kris M. Kitani.
The International Journal of Robotics Research (2020)
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)
Going Deeper into First-Person Activity Recognition
Minghuang Ma;Haoqi Fan;Kris M. Kitani.
computer vision and pattern recognition (2016)
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)
PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings
Nicholas Rhinehart;Rowan Mcallister;Kris Kitani;Sergey Levine.
international conference on computer vision (2019)
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nicholas Rhinehart;Kris M. Kitani;Paul Vernaza.
european conference on computer vision (2018)
Learning scene-specific pedestrian detectors without real data
Hironori Hattori;Vishnu Naresh Boddeti;Kris Kitani;Takeo Kanade.
computer vision and pattern recognition (2015)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: