Home/Kris M. Kitani

Kris M. Kitani

Assistant Research Professor
Email: kmkitani@andrew.cmu.edu
Office: EDSH 211
Phone: (412) 268-5186
Personal Homepage: http://www.cs.cmu.edu/~kkitani
Administrative Assistant: Jessica Butterbaugh

Research interests: computer vision, human activity forecasting, first-person vision, inverse reinforcement learning, deep learning, assistive technologies for the blind

Displaying 24 Publications
Deep Radio-Visual Localization
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa and Michitaka Hirose

Conference Paper, Carnegie Mellon University, Winter Conf. on Applications of Computer Vision, March, 2018
Recognizing Visual Signatures of Spontaneous Head Gestures
Mohit Sharma, Dragan Ahmetovic, Laszlo A. Jeni and Kris M. Kitani

Conference Paper, Carnegie Mellon University, IEEE Winter Conf. on Applications of Computer Vision, March, 2018
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng, Shangxuan Wu, Fares Beainy and Kris M. Kitani

Conference Paper, IEEE Winter Conf. on Applications of Computer Vision, March, 2018
Phase-Parametric Policies for Reinforcement Learning in Cyclic Environments
Arjun Sharma and Kris M. Kitani

Conference Paper, Carnegie Mellon University, AAAI Conference on Artificial Intelligence, February, 2018
Predictive-State Decoders: Encoding the Future Into Recurrent Neural Networks
Arun Venkatraman*, Nicholas Rhinehart*, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris Kitani and J. A. Bagnell

Conference Paper, Carnegie Mellon University, Neural Information Processing Systems (NIPS), December, 2017
NavCog3: An Evaluation of a Smartphone-Based Blind Indoor Navigation Assistant with Semantic Features in a Large-Scale Environment
Daisuke Sato, Uran Oh, Kakuya Naito, Hironobu Takagi, Kris Kitani and Chieko Asakawa

Conference Paper, Carnegie Mellon University, Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility, pp. 270-279, November, 2017
Virtual Navigation for Blind People: Building Sequential Representations of the Real-World
Joao Pedro Vieira Guerreiro, Dragan Ahmetovic, Kris M. Kitani and Chieko Asakawa

Conference Paper, Carnegie Mellon University, Proceedings of the 19th international ACM SIG ACCESS Conference on Computers & Accessibility, pp. 280-289, October, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, International Conference on Computer Vision, October, 2017
Beacon-guided Structure from Motion for Smartphone-based Navigation
Tatsuya Ishihara, Jayakorn Vongkulbhisal, Kris M. Kitani and Chieko Asakawa

Conference Paper, Carnegie Mellon University, Winter Conference on the Applications of Computer Vision, March, 2017
Inference Machines for Supervised Bluetooth Localization
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa and Michitaka Hirose

Conference Paper, Carnegie Mellon University, International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, March, 2017
Deep Supervised Hashing with Triplet Labels
Xiaofang Wang, Yi Shi and Kris M. Kitani

Conference Paper, Asian Conference on Computer Vision, November, 2016
Learning Action Maps of Large Environments Via First-Person Vision
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, Conference on Computer Vision and Pattern Recognition (CVPR), June, 2016
Hand Parsing for Fine-Grained Recognition of Human Grasps in Monocular Images
Akanksha Saran, Damien Teney and Kris M. Kitani

Conference Paper, Carnegie Mellon University, IEEE/RSJ International Conference on Intelligent Robots and Systems, September, 2015
Recognizing Hand-Object Interactions in Wearable Camera Videos
Tatsuya Ishihara, Kris M. Kitani, Wei-Chiu Ma, Hironobu Takagi and and Chieko Asakawa

Conference Paper, Carnegie Mellon University, IEEE International Conference on Image Processing (ICIP), September, 2015
How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps
De-An Huang, Minghuang Ma, Wei-Chiu Ma and Kris M. Kitani

Conference Paper, Carnegie Mellon University, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015, June, 2015
Learning Scene-Specific Pedestrian Detectors without Real Data
Hironori Hattori, Yasodekshna Vishnu Naresh Boddeti, Kris M. Kitani and Takeo Kanade

Conference Paper, Carnegie Mellon University, CVPR, June, 2015
Approximate MaxEnt Inverse Optimal Control and its Application for Mental Simulation of Human Interactions
De-An Huang, Amir-massoud Farahmand, Kris M. Kitani and J. Andrew (Drew) Bagnell

Conference Paper, Carnegie Mellon University, AAAI Conference on Artificial Intelligence, January, 2015
Action-Reaction: Forecasting the Dynamics of Human Interaction
De-An Huang and Kris M. Kitani

Conference Paper, Carnegie Mellon University, European Conference on Computer Vision, September, 2014
Pixel-level Hand Detection in Ego-Centric Videos
Kris M. Kitani and Cheng Li

Conference Paper, Carnegie Mellon University, Conference on Computer Vision and Pattern Recognition, June, 2013
Experiencing the Ball’s POV for Ballistic Sports
Kodai Horita, Kris M. Kitani, Hideki Sasaki and Hideki Koike

Conference Paper, Carnegie Mellon University, Augmented Human International Conference, March, 2013
Multi-Pose Multi-Target Tracking for Activity Understanding
Hamid Izadinia, Varun Ramakrishna, Kris M. Kitani and Daniel Huber

Conference Paper, Carnegie Mellon University, IEEE Workshop on the Applications of Computer Vision, January, 2013
Activity Forecasting
Kris M. Kitani, Brian D. Ziebart, J. Andrew (Drew) Bagnell and Martial Hebert

Conference Paper, Carnegie Mellon University, European Conference on Computer Vision, October, 2012
BallCam! Dynamic View Synthesis from Spinning Cameras
Kris M. Kitani, Kodai Horita and Hideki Koike

Conference Paper, Carnegie Mellon University, Symposium on User Interface Software and Technology (UIST), October, 2012
Detecting Interesting Events using Unsupervised Density Ratio Estimation
Yuichi Ito, Kris M. Kitani, J. Andrew (Drew) Bagnell and Martial Hebert

Conference Paper, Carnegie Mellon University, 3rd IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams at ECCV2012, October, 2012
Mailing Address
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213
2017-09-13T10:39:39+00:00