/Kris M. Kitani

Kris M. Kitani

Portrait of Kris M. Kitani
Assistant Research Professor
Office: 211 Elliot Dunlap Smith Hall
Phone: (412) 268-5186
Personal Homepage
Administrative Assistant: Nora Kazour

Mailing Address

Research interests: computer vision, human activity forecasting, first-person vision, inverse reinforcement learning, deep learning, assistive technologies for people with visual impairment

Displaying 130 Publications
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures
Ryo Yonetani, Kris M. Kitani and Yoichi Sato

Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), November, 2018
First-Person Activity Forecasting from video with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris Kitani

Journal Article, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2018), November, 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Systems
Eshed Ohn-Bar, Kris Kitani and Chieko Asakawa

Conference Paper, Conference on Robot Learning, October, 2018
Deep Learning and Geometry-Based Image Localization Enhanced by Bluetooth Signals
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa and Michitaka Hirose

Journal Article, Journal of Information Processing, Vol. 26, pp. 707 - 717, October, 2018
The Present and Future of Museum Accessibility for People with Visual Impairments
Saki Asakawa, Joao Guerreiro, Dragan Ahmetovic, Kris M. Kitani and Chieko Asakawa

Conference Paper, Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '18), pp. 382 - 384, October, 2018
R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting
Nick Rhinehart, Paul Vernaza and Kris Kitani

Conference Paper, European Conference on Computer Vision (ECCV 2018), Part of the Lecture Notes in Computer Science book series (LNCS, volume 11217), pp. 794 - 811, October, 2018
Variability in Reactions to Instructional Guidance During Smartphone-Based Assisted Navigation of Blind Users
Eshed Ohn-Bar, Joao Guerreiro, Kris M. Kitani and Chieko Asakawa

Journal Article, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2018), Vol. 2, No. 3, September, 2018
Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator for Static Video Surveillance
Hironori Hattori, Namhoon Lee, Vishnu Naresh Boddeti, Fares Beainy, Kris M. Kitani and Takeo Kanade

Journal Article, International Journal of Computer Vision, Vol. 126, No. 9, pp. 1027 – 1044, September, 2018
3D Ego-Pose Estimation via Imitation Learning
Ye Yuan and Kris M. Kitani

Conference Paper, European Conference on Computer Vision (ECCV), September, 2018
Error Correction Maximization for Deep Image Hashing
Xiang Xu, Xiaofang Wang and Kris Kitani

Conference Paper, British Machine Vision Conference (BMVC 2018), September, 2018
Virtual Navigation for Blind People: Transferring Route Knowledge to the Real-World
Joao Guerreiro, Kris Kitani, Daisuke Sato, Eshed Ohn-Bar, Chieko Asakawa and Dragan Ahmetovic

Journal Article, International Journal of Human - Computer Studies, submitted July 2018, July, 2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart, Yan Xu, Yilin Shen and Kris M. Kitani

Conference Paper, submitted 21 June, 2018; originally announced June 2018; arXiv:1806.08479, June, 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling and Kris M. Kitani

Conference Paper, submitted 20 June, 2018; originally announced June 2018; arXiv:1806.07822, June, 2018
Learning Group Communication from Demonstration
Navyata Sanghvi, Ryo Yonetani and Kris Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Models and Representations for Natural Human-Robot Communication, June, 2018
Learning Hierarchical Policies from Unsegmented Demonstrations using Causal Information
Mohit Sharma, Arjun Sharma, Nicholas Rhinehart and Kris M. Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Perspectives in Robot Learning: Causality and Imitation, June, 2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling and Kris M. Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Perspectives in Robot Learning: Causality and Imitation, June, 2018
Semi-automated home-based therapy for the upper extremity of stroke survivors
Thanassis Rikakis, Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Kris M. Kitani, Steve Wolf and Setor Zilevu

Conference Paper, Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference (PETRA '18), pp. 249 - 256, June, 2018
Smartphone-based Localization for Blind Navigation in Building-Scale Indoor Environments
Masayuki Murata, Dragan Ahmetovic, Daisuke Sato, Hironobu Takagi, Kris M. Kitani and Chieko Asakawa

Journal Article, Pervasive and Mobile Computing (PMC) Journal, submitted June 2018, June, 2018
Gesture-based Bootstrapping for Egocentric Hand Segmentation
Yubo Zhang, Vishnu Naresh Boddeti and Kris M. Kitani

Conference Paper, submitted 11 June, 2018; v1 submitted 8 December, 2016; originally announced December 2016; arXiv:1612.02889, June, 2018
Inverse Reinforcement Learning with Conditional Choice Probabilities
Mohit Sharma, Joachim Groeger, Robert Miller and Kris M. Kitani

Conference Paper, Robotics: Science and Systems, Workshop on Perspectives in Robot Learning: Causality and Imitation, June, 2018
How Context and User Behavior Affect Indoor Navigation Assistance for Blind People
Joao Guerreiro, Eshed Ohn-Bar, Dragan Ahmetovic, Kris M. Kitani and Chieko Asakawa

Conference Paper, 15th International Cross-Disciplinary Conference on Web Accessibility, April, 2018
Personalized Dynamics Models for Adaptive Assistive Navigation Interfaces
Eshed Ohn-Bar, Kris Kitani and Chieko Asakawa

Conference Paper, submitted 11 April, 2018; originally announced April 2018; arXiv:1804.04118, April, 2018
Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users
Hernisa Kacorri, Eshed Ohn-Bar, Kris M. Kitani and Chieko Asakawa

Conference Paper, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), April, 2018
Deep Radio-Visual Localization
Tatsuya Ishihara, Kris M. Kitani, Chieko Asakawa and Michitaka Hirose

Conference Paper, 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, 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
Smartphone-based Indoor Localization for Blind Navigation across Building Complexes
Masayuki M Murata, Daisuke Sato, Dragan Ahmetovic, Hironobu Takagi, Kris M. Kitani and Chieko Asakawa

Conference Paper, IEEE International Conference on Pervasive Computing and Communications (PerCom 2018), Vol. 1, pp. 1 - 10, March, 2018
Crowdsourcing the Installation and Maintenance of Indoor Localization Infrastructure to Support Blind Navigation
Cole Gleason, Dragan Ahmetovic, Saiph Savage, Carlos Toxtli, Carl Posthuma, Chieko Asakawa, Kris M. Kitani and Jeffery P. Bigham

Conference Paper, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT 2018), Vol. 2, No. 1, March, 2018
Modeling Expertise in Assistive Navigation Interfaces for Blind People
Eshed Ohn-Bar, Joao Guerreiro, Dragan Ahmetovic, Kris M. Kitani and Chieko Asakawa

Conference Paper, 23rd International Conference on Intelligent User Interfaces (IUI '18), pp. 403 - 407, March, 2018
SmartPartNet: Part-Informed Person Detection for Body-Worn Smartphones
Heng Yu, Eshed Ohn-Bar, Donghyun Yoo and Kris M. Kitani

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

Conference Paper, AAAI Conference on Artificial Intelligence, February, 2018
Efficient K-Shot Learning with Regularized Deep Networks
Donghyun Yoo, Haoqi Fan, Vishnu Bodetti and Kris M. Kitani

Conference Paper, Association for the Advancement of Artificial Intelligence (AAAI 2018), February, 2018
ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection
Sima Behpour, Kris M. Kitani and Brian D. Ziebart

Conference Paper, Submitted 12 December, 2017; v1 submitted 20 October, 2017; originally announced October 2017; arXiv:1710.07735, December, 2017
EyeQual: Accurate, Explainable, Retinal Image Quality Assessment
Pedro Costa, Aurelio Campilho, B. Hooi, Asim Smailagic, Kris Kitani, S Liu, Christos Faloutsos and Adrian Galdran

Conference Paper, 16th IEEE International Conference on Machine Learning and Applications (ICMLA 2017), December, 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and Andrew J. Bagnell

Conference Paper, 31st Conference on Neural Information Processing Systems (NIPS 2017), December, 2017
Ego-Surfing: Person Localization in First-Person Videos Using Ego-Motion Signatures
Ryo Yonetani, Kris M. Kitani and Yoichi Sato

Conference Paper, submitted 28 November, 2017; v1 submitted 15 June, 2016; originally announced June 2016; arXiv:1606.04637, November, 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, 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, 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
Adversarially Optimizing Intersection over Union for Object Localization Tasks
Sima Behpour, Kris M. Kitani and Brian D. Ziebart

Conference Paper, arXiv preprint arXiv:1710.07735, October, 2017
HOMER: An Interactive System for Home Based Stroke Rehabilitation
Aisling Kelliher, Jinwoo Choi, Jia-Bin Huang, Thanassis Rikakis and Kris Kitani

Conference Paper, Proceedings of the 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), October, 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani and Yoichi Sato

Conference Paper, IEEE International Conference on Computer Vision (ICCV 2017), October, 2017
Efficient K-Shot Learning with Regularized Deep Networks
Donghyun Yoo, Haoqi Fan, Vishnu Naresh Boddeti and Kris M. Kitani

Conference Paper, submitted 6 October, 2017; originally announced October 2017; arXiv:1710.02277, October, 2017
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun, Lerrel Pinto, Martial Hebert, Byron Boots, Kris M. Kitani and J. Andrew Bagnell

Conference Paper, submitted 25 September, 2017; originally announced September 2017; arXiv:1709.08520, September, 2017
Inverse Reinforcement Learning with Conditional Choice Probabilities
Mohit Sharma, Kris M. Kitani and Joachim Groeger

Conference Paper, submitted 22 September, 2017; originally announced September 2017; arXiv:1709.07597, September, 2017
Rotational Rectification Network: Enabling Pedestrian Detection for Mobile Vision
Xinshuo Weng, Shangxuan Wu, Fares Beainy and Kris Kitani

Conference Paper, submitted 12 September, 2017; v1 submitted 18 June, 2017; originally announced June 2017; arXiv:1706.08917, September, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, submitted 6 August, 2017; v1 submitted 22 December, 2016; originally announced December 2016; arXiv:1612.07796, August, 2017
An Ego-vision System for Hand Grasp Analysis
Minjie Cai, Kris M. Kitani and Yoichi Sato

Journal Article, IEEE Transactions on Human-Machine Systems, Vol. 47, No. 4, pp. 524 - 535, August, 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani and Yoichi Sato

Conference Paper, submitted 28 July, 2017; v1 submitted 7 April, 2017; originally announced April 2017; arXiv:1704.02203, July, 2017
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee and Kris M. Kitani

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), July, 2017
People with Visual Impairment Training Personal Object Recognizers: Feasibility and Challenges
Hernisa Kacorri, Kris M. Kitani, Jeff Bigham and Chieko Asakawa

Conference Paper, Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17), pp. 5839 - 5849, May, 2017
Activity Forecasting: An Invitation to Predictive Perception
Kris M. Kitani, Wei-Chiu Ma and De-An Huang

Book Section/Chapter, Group and Crowd Behavior for Computer Vision. Chapter 12, pp. 273 - 294, April, 2017
Achieving Practical and Accurate Indoor Navigation for People with Visual Impairments
Dragan Ahmetovic, Masayuki Murata, Cole Gleason, Erin Brady, Kris M. Kitani, Hironobu Takagi and Chieko Asakawa

Conference Paper, Proceedings of the 14th Web for All Conference on The Future of Accessible Work (W4A '17), April, 2017
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee and Kris M. Kitani

Conference Paper, submitted 28 March, 2017; v1 submitted 5 April, 2016; originally announced April 2016; arXiv:1604.01431, March, 2017
Beacon-guided Structure from Motion for Smartphone-based Navigation
Tatsuya Ishihara, Jayakorn Vongkulbhisal, Kris M. Kitani and Chieko Asakawa

Conference Paper, 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, International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, March, 2017
Video segmentation and stabilization for BallCam
Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris M. Kitani and Hideki Koike

Conference Paper, Proceedings of the 8th Augmented Human International Conference (AH '17), March, 2017
Visual Compiler: Synthesizing a Scene-Specific Pedestrian Detector and Pose Estimator
Namhoon Lee, Xinshuo Weng, Vishnu Naresh Boddeti, Yu Zhang, Fares Beainy, Kris Kitani and Takeo Kanade

Conference Paper, submitted 15 December, 2016; originally announced December 2016; arXiv:1612.05234, December, 2016
Deep Supervised Hashing with Triplet Labels
Xiaofang Wang, Yi Shi and Kris M. Kitani

Conference Paper, submitted 12 December, 2016; originally announced December 2016; arXiv:1612.03900, December, 2016
Contextual Visual Similarity
Xiaofang Wang, Kris M. Kitani and Martial Hebert

Conference Paper, submitted 8 December, 2016; originally announced December 2016; arXiv:1612.02534, December, 2016
In Teacher We Trust: Learning Compressed Models for Pedestrian Detection
Jonathan Shen, Noranart Vesdapunt, Vishnu N. Boddeti and Kris M. Kitani

Conference Paper, submitted 1 December, 2016; originally announced December 2016; arXiv:1612.00478, December, 2016
Long-Term Activity Forecasting using First-Person Vision
Syed Zahir Bokhari and Kris M. Kitani

Conference Paper, 13th Asian Conference on Computer Vision (ACCV 2016), November, 2016
Deep Supervised Hashing with Triplet Labels
Xiaofang Wang, Yi Shi and Kris M. Kitani

Conference Paper, Asian Conference on Computer Vision, November, 2016
VizMap: Accessible Visual Information Through Crowdsourced Map Reconstruction
Cole Gleason, Anhong Guo, Gierad Laput, Kris M. Kitani and Jeffrey P. Bigham

Conference Paper, Proceedings of the 18th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '16), pp. 273 - 274, October, 2016
Activity-Aware Video Stabilization for BallCam
Ryohei Funakoshi, Vishnu Naresh Boddeti, Kris Kitani and Hideki Koike

Conference Paper, Proceedings of the 29th Annual Symposium on User Interface Software and Technology (UIST '16), pp. 197 - 198, October, 2016
Visual Motif Discovery via First-Person Vision
Ryo Yonetani, Kris M. Kitani and Yoichi Sato

Conference Paper, 14th European Conference on Computer Vision (ECCV 2016), pp. 187 - 203, October, 2016
NavCog: A Navigational Cognitive Assistant for the Blind
Dragan Ahmetovic, Cole Gleason, Chengxiong Ruan, Kris M. Kitani, Hironobu Takagi and Chieko Asakawa

Conference Paper, Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI '16), pp. 90 - 99, September, 2016
Going Deeper into First-Person Activity Recognition
Minghuang Ma, Haoqi Fan and Kris M. Kitani

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), June, 2016
Recognizing micro-actions and reactions from paired egocentric videos
Ryo Yonetani, Kris M. Kitani and Yoichi Sato

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), June, 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
Understanding Hand-Object Manipulation with Grasp Types and Object Attributes
Minjie Cai, Kris M. Kitani and Yoichi Sato

Conference Paper, 2016 Robotics: Science and Systems Conference, June, 2016
Going Deeper into First-Person Activity Recognition
Minghuang Ma, Haoqi Fan and Kris M. Kitani

Conference Paper, submitted 12 May, 2016; originally announced May 2016; arXiv:1605.03688, May, 2016
Learning Action Maps of Large Environments via First-Person Vision
Nicholas Rhinehart and Kris M. Kitani

Conference Paper, submitted 5 May, 2016; originally announced May 2016; arXiv:1605.01679, May, 2016
A game-theoretic approach to multi-pedestrian activity forecasting
Wei-Chiu Ma, De-An Huang, Namhoon Lee and Kris M Kitani

Conference Paper, arXiv preprint arXiv:1604.01431 v2, April, 2016
Cutting through the Clutter: Task-Relevant Features for Image Matching
Rohit Girdhar, David Fouhey, Kris M. Kitani, Abhinav Gupta and Martial Hebert

Conference Paper, IEEE Winter Conference on Applications of Computer Vision (WACV 2016), March, 2016
Predicting Wide Receiver Trajectories in American Football
Namhoon Lee and Kris M.Kitani

Conference Paper, IEEE Winter Conference on Applications of Computer Vision (WACV 2016), March, 2016
A Multi-Modal Sequential Predictor for Hand Parsing and its Applications to Fine-Grained Grasp Recognition
Akanksha Saran and Kris M. Kitan

Conference Paper, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015), September, 2015
Hand Parsing for Fine-Grained Recognition of Human Grasps in Monocular Images
Akanksha Saran, Damien Teney and Kris M. Kitani

Conference Paper, 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 Chieko Asakawa

Conference Paper, IEEE International Conference on Image Processing (ICIP), September, 2015
Ego-Surfing First-Person Videos
Ryo Yonetani, Kris M.Kitani and Yoichi Sato

Conference Paper, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), June, 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, 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, CVPR, June, 2015
A Scalable Approach for Understanding the Visual Structures of Hand Grasps
Minjie Cai, Kris M. Kitani and Yoichi Sato

Conference Paper, IEEE International Conference on Robotics and Automation (ICRA 2015), May, 2015
Semantic video segmentation using both appearance and geometric information
Jihwan Woo, Kris Kitani, Sehoon Kim, Hantak Kwak and Woosung Shim

Journal Article, Proc. SPIE 9406, Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques, 94060B, Vol. 9406, February, 2015
Face Alignment Refinement
Andy Zheng, Vishnu Naresh Boddeti, Kris M. Kitani and Takeo Kanade

Conference Paper, IEEE Winter Conference on Applications of Computer Vision (WACV 2015), January, 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, AAAI Conference on Artificial Intelligence, January, 2015
Automating Stroke Rehabilitation for Home-Based Therapy
Akanksha Saran, Kris M Kitani and Thannasis Rikakis

Conference Paper, 2014 AAAI Fall Symposium, Artificial Intelligence for Human-Robot Interaction, November, 2014
Massive City-scale Surface Condition Analysis using Ground and Aerial Imagery
Ken Sakurada, Takayuki Okatani and Kris M Kitani

12th Asian Conference on Computer Vision (ACCV 2014), Part of the Lecture Notes in Computer Science book series (LNCS, volume 9003), pp. 49 - 64, November, 2014
Dynamic View Synthesis from Camera in Spinning Ball
Kodai Horita, Kris M Kitani, Hideki Sasaki and Hideki Koike

Journal Article, The Journal of The Institute of Image Information and Television Engineers, Vol. 68, No. 11, pp. J495 - J501, October, 2014
Action-Reaction: Forecasting the Dynamics of Human Interaction
De-An Huang and Kris M. Kitani

Conference Paper, European Conference on Computer Vision, September, 2014
Clustering via Determinantal Point Processes
Paul Vernaza, Jiaji Zhou, Kris Kitani and J. Andrew (Drew) Bagnell

Miscellaneous, Technical Report, June, 2014
An Introduction to the 3rd Workshop on Egocentric (First-Person) Vision
Steve Mann, Kris M Kitani, Yong Jae Lee, MS Ryoo and Alireza Fathi

Conference Paper, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops, June, 2014
Model Recommendation with Virtual Probes for Ego-Centric Hand Detection
Cheng Li and Kris M. Kitani

Conference Paper, IEEE International Conference on Computer Vision (ICCV 2013), December, 2013
Pixel-level Hand Detection in Ego-Centric Videos
Kris M. Kitani and Cheng Li

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

Conference Paper, 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, 3rd IEEE International Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams at ECCV2012, October, 2012
Coupling Eye-Motion and Ego-Motion Features for First-Person Activity Recognition
K. Ogaki, Kris M. Kitani, Y. Sugano and Y. Sato

Conference Paper, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, Workshop on Egocentric Vision, June, 2012
Human-centric Panoramic Image Stitching
Tomohiro Ozawa, Kris M. Kitani and Hideki Koike

Conference Paper, Proceedings of the 3rd Augmented Human International Conference (AH '12), March, 2012
Ego-Action Analysis for First-Person Sports Videos
Kris M. Kitani

Magazine Article, IEEE Pervasive Computing, Vol. 11, No. 2, pp. 92 - 95, February, 2012
Motion Recognition of a Ball and Synchronized Force Feedback using Smart Phones
Kodai Horita, Toshiki Sato, Kris M. Kitani and Hideki Koike

Conference Paper, 19th Workshop on Interactive Systems and Software (WISS 2011), December, 2011
Generating Images using a Ball Point-of-view Camera
Tomohiro Ozawa, Kris M. Kitani and Hideki Koike

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2011), July, 2011
Fast Unsupervised Ego-Action Learning for First-person Sports Videos
Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2011), pp. 3241 -3248, June, 2011
EdgeSonic: Image Feature Sonification for the Visually Impaired
Tsubasa Yoshida, Kris M. Kitani, Serge Belongie, Kevin Schlei and Hideki Koike

Conference Paper, Proceedings of the 2nd Augmented Human International Conference (AH '11), March, 2011
Ego-Motion Analysis Using Average Image Data Intensity
Kojiro Kato, Kris M. Kitani and Takuya Nojima

Conference Paper, Proceedings of the 2nd Augmented Human International Conference (AH '11), March, 2011
EdgeSonic: Image Feature Sonification for the Visually Impaired
Tsubasa Yoshida, Kris M. Kitani, Serge Belongie, Kevin Schlei and Hideki Koike

Conference Paper, 18th Workshop on Interactive Systems and Software (WISS 2010), December, 2010
Using Ego-Motion to Learn First-Person Action Categories
Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2010), July, 2010
ImprovGenerator: Online Grammatical Induction for On-the-Fly Improvisation Accompaniment
Kris M. Kitani and Hideki Koike

Conference Paper, In New Interfaces for Musical Expression (2010), June, 2010
3-D Interaction with a Large Wall Display using Transparent Markers
Akito Hyakutake, Koichiro Ozaki, Kris M. Kitani and Hideki Koike

Conference Paper, Proceedings of the International Conference on Advanced Visual Interfaces (AVI '10), pp. 97 - 100, May, 2010
Recognizing multiple objects based on co-occurrence of categories
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani and Yoichi Sato

Journal Article, Progress in Informatics, No. 7, pp. 43 – 52, January, 2010
Using Individuality to Track Individuals: Clustering Individual Trajectories in Crowds using Local Appearance and Frequency Trait
Daisuke Sugimura, Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimot

Conference Paper, IEEE 12th International Conference on Computer Vision (ICCV 2009), September, 2009
Using Visual Context for Action Category Discovery
Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Journal Article, IEICE Transactions on Information and Systems, Vol. 92, No. 8, August, 2009
Tracking People in Crowds Based on Clustering Feature Trajectories Using Gait Features and Local Appearance
Daisuke Sugimura, Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2009), July, 2009
Modeling and Recognizing Human Activities from Video
Kris M. Kitani and Yoichi Sato

International Workshop on Recent Trends in Computer Vision 2009, June, 2009
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani and Yoichi Sato

Conference Paper, Pacific-Rim Symposium on Image and Video Technology, Advances in Image and Video Technology (PSIVT 2009), Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414), pp. 497 - 508, January, 2009
Recovering the Basic Structure of Human Activities from Noisy Video-based Symbol Strings
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Journal Article, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 22, No. 8, pp. 1621 – 1646, December, 2008
Recognizing Overlapped Human Activities from a Sequence of Primitive Actions via Deleted Interpolation
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Journal Article, International Journal of Pattern Recognition and Artificial Intelligence, Vol. 22, No. 7, pp. 1343 – 1362, November, 2008
Discovering Primitive Action Categories by Leveraging Relevant Visual Context
Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Eighth International Workshop on Visual Surveillance (VS2008), October, 2008
Modeling and Recognizing Human Activities from Video
Kris M. Kitani

PhD Thesis, Tech. Report, September, 2008
Unsupervised Learning of Human Activity Grammars from Noisy Input Sequences
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Journal Article, IPSJ Transactions on Computer Vision and Image Media, Vol. 1, No. 2, pp. 86 - 99, July, 2008
Unsupervised Action Category Discovery Using Visual Context
Kris M. Kitani, Takahiro Okabe, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2008), July, 2008
Using the Co-occurrence of Multiple Categories for Object Recognition
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani and Yoichi Sato

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2008), July, 2008
Learning the Grammar of Human Activity from Video
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Meeting on Image Recognition and Understanding (MIRU 2007), July, 2007
Recovering the Basic Structure of Human Activities From a Video-Based Symbol String
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Conference Paper, IEEE Workshop on Motion and Video Computing (WMVC'07), February, 2007
An MDL Approach to Learning Activity Grammars
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Conference Paper, Korea-Japan Joint Workshop on Pattern Recognition (KJPR), November, 2006
Deleted Interpolation Using a Hierarchical Bayesian Grammar Network for Recognizing Human Activity
Kris M. Kitani, Yoichi Sato and Akihiro Sugimoto

Conference Paper, IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005), October, 2005
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