Publications




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 19th international ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 280 - 289, October, 2017
In-context Q&A to Support Blind People Using Smartphones
André Rodrigues, Kyle Montague, Hugo Nicolau, Joao Pedro Vieira Guerreiro, and Tiago Guerreiro
Conference Paper, Proceedings of 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 32 - 36, October, 2017
First-Person Activity Forecasting with Online Inverse Reinforcement Learning
Nicholas Rhinehart and Kris M. Kitani
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3716 - 3725, October, 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi, Ishan Misra, and Martial Hebert
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1310 - 1319, October, 2017
The Pose Knows: Video Forecasting by Generating Pose Futures
Jacob Walker, Kenneth Marino, Abhinav Gupta, and Martial Hebert
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 3352 - 3361, October, 2017
Few-Shot Hash Learning for Image Retrieval
Yuxiong Wang, Liangke Gui, and Martial Hebert
Workshop Paper, ICCV '17 Workshops, pp. 1228 - 1237, October, 2017
Development and results from user testing of a novel robotics kit supporting systems engineering for elementary-aged students
Emily Hamner, Lauren Zito, Jennifer Cross, Michael Tasota, Paul Dille, Stephen Fulton, Molly Johnson, Illah Nourbakhsh, and Joshua Schapiro
Conference Paper, Proceedings of IEEE Frontiers in Education Conference (FIE '17), October, 2017
Student outcomes from the evaluation of a transdisciplinary middle school robotics program
Jennifer Cross, Emily Hamner, Lauren Zito, and Illah Nourbakhsh
Conference Paper, Proceedings of IEEE Frontiers in Education Conference (FIE '17), October, 2017
Training Strategies for Time Series: Learning for Prediction, Filtering, and Reinforcement Learning
Arun Venkatraman
PhD Thesis, Tech. Report, CMU-RI-TR-18-01, Robotics Institute, Carnegie Mellon University, October, 2017
Interactive Ramp Merging Planning in Autonomous Driving: Multi-Merging Leading PGM
Chiyu Dong, John M. Dolan, and Bakhtiar Litkouhi
Conference Paper, Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC '17), pp. 2186 - 2191, October, 2017
Learning Heuristic Search via Imitation
Mohak Bhardwaj, Sanjiban Choudhury, and Sebastian Scherer
Conference Paper, Proceedings of (CoRL) Conference on Robot Learning, Vol. 78, pp. 271 - 280, 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 19th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '17), pp. 379 - 380, October, 2017
Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
Ryo Yonetani, Vishnu Naresh Boddeti, Kris M. Kitani, and Yoichi Sato
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2059 - 2069, October, 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun, Abhinav Shrivastava, Saurabh Singh, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 843 - 852, October, 2017
Spatial Memory for Context Reasoning in Object Detection
Xinlei Chen and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4086 - 4096, October, 2017
Temporal Dynamic Graph LSTM for Action-Driven Video Object Detection
Yuan Yuan, Xiaodan Liang, Xiaolong Wang, Dit-Yan Yeung, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1819 - 1828, October, 2017
Transitive Invariance for Self-Supervised Visual Representation Learning
Xiaolong Wang, Kaiming He, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1338 - 1347, October, 2017
Visual Semantic Planning using Deep Successor Representations
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, and Ali Farhadi
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 483 - 492, October, 2017
What Actions Are Needed for Understanding Human Actions in Videos?
Gunnar A. Sigurdsson, Olga Russakovsky, and Abhinav Gupta
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2156 - 2165, October, 2017
A Probabilistic Planning Framework for Planar Grasping Under Uncertainty
Jiaji Zhou, Robert Paolini, Aaron M. Johnson, J. Andrew (Drew) Bagnell, and Matthew T. Mason
Journal Article, IEEE Robotics and Automation Letters, Vol. 2, No. 4, pp. 2111 - 2118, October, 2017
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, and Katerina Fragkiadaki
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4364 - 4372, October, 2017
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning
C. Murdock and F. De la Torre
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4318 - 4326, October, 2017
Compact model representation for 3D reconstruction
J. K. Pontes, C. Kong, A. Eriksson, C. Fookes, S. Sridharan, and S. Lucey
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '17), pp. 88 - 96, October, 2017
CubeRovers for Lunar Exploration
A. P. Tallaksen, A. D. Horchler, C. Boirum, D. Arnett, H. L. Jones, E. Fang, E. Amoroso, L. Chomas, L. Papincak, O. B. Sapunkov, and W. L. Whittaker
Conference Paper, Proceedings of Annual Meeting of the Lunar Exploration Analysis Group (LEAG '17), October, 2017
Deltille Grids for Geometric Camera Calibration
Hyowon Ha, Michal Perdoch, Hatem Alismail, In So Kweon, and Yaser Sheikh
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 5354 - 5362, October, 2017
Dynamics of a Circular Cylinder With a Passive Degree of Freedom Interacting With an Inviscid Fluid Containing a Point Vortex
Phanindra Tallapragada, Beau Pollard, and Vitaliy Fedonyuk
Conference Paper, Proceedings of ASME Dynamic Systems and Control Conference (DSCC '17), October, 2017
Field Test of Route Planning Software for Lunar Polar Missions
Andrew D. Horchler, Christopher Cunningham, Heather L. Jones, Daniel Arnett, Eugene Fang, Eric Amoroso, Nathan Otten, Fraser Kitchell, Ian Holst, Graeme Rock, and W. Whittaker
Conference Paper, Proceedings of Annual Meeting of the Lunar Exploration Analysis Group (LEAG '17), October, 2017
Learning Background-Aware Correlation Filters for Visual Tracking
H. Kiani Galoogahi, A. Fagg, and S. Lucey
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1144 - 1152, October, 2017
Learning Policies for Adaptive Tracking with Deep Feature Cascades
C. Huang, S. Lucey, and D. Ramanan
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 105 - 114, October, 2017
Learning Video Object Segmentation with Visual Memory
Pavel Tokmakov, Karteek Alahari, and Cordelia Schmid
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 4491 - 4500, October, 2017
Monocular Depth from Small Motion Video Accelerated
C. Ham, M. Chang, S. Lucey, and S. Singh
Conference Paper, Proceedings of International Conference on 3D Vision (3DV '17), pp. 575 - 583, October, 2017
Multirate Kalman filter rejects impulse noise in frequency-domain-multiplexed tracker measurements
R. A. MacLachlan, R. L. Hollis, B. Jaramaz, J. N. Martel, K. L. Urish, and C. N. Riviere
Conference Paper, Proceedings of IEEE Sensors, October, 2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
H. Kiani Galoogahi, A. Fagg, C. Huang, D. Ramanan, and S. Lucey
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 1134 - 1143, October, 2017
Object Sensitive Deep Reinforcement Learning
Yuezhang Li, Katia P. Sycara, and Rahul Iyer
Conference Paper, Proceedings of 3rd Global Conference on Artificial Intelligence (GCAI '17), pp. 20 - 35, October, 2017
Rethinking Reprojection: Closing the Loop for Pose-aware Shape Reconstruction from a Single Image
R. Zhu, H. Kiani Galoogahi, C. Wang, and S. Lucey
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 57 - 65, October, 2017
Safe Trajectory Synthesis for Autonomous Driving in Unforeseen Environments
Shreyas Kousik, Sean Vaskov, M. Johnson-Roberson, and Ram Vasudevan
Conference Paper, Proceedings of ASME Dynamic Systems and Control Conference (DSCC '17), October, 2017
SUBSTANCE and STYLE: Domain-Specific Languages for Mathematical Diagrams
Wode Ni, Katherine Ye, Joshua Sunshine, Jonathan Aldrich, and Keenan Crane
Workshop Paper, SPLASH '17 Domain-Specific Language Design and Implementation (DSLDI) Workshop, October, 2017
Tip design for safety of steerable needles for robot-controlled brain insertion
C. A. Lehocky, W. Fellows-Mayle, J. A. Engh, and C. N. Riviere
Journal Article, Robotic Surgery: Research and Reviews, Vol. 4, pp. 107 - 114, October, 2017
Tracking as Online Decision-Making: Learning a Policy from Streaming Videos with Reinforcement Learning
J. Supancic and D. Ramanan
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 322 - 331, October, 2017
Unconstrained Face Detection and Open-Set Face Recognition Challenge
Manuel Günther, Peiyun Hu, Christian Herrmann, Chi Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, and Terrance E. Boult
Conference Paper, Proceedings of IEEE International Joint Conference on Biometrics (IJCB '17), pp. 697 - 706, October, 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu, Taesung Park, Phillip Isola, and Alexei A. Efros
Conference Paper, Proceedings of (ICCV) International Conference on Computer Vision, pp. 2242 - 2251, October, 2017
Locomotion of a Multi-Link Nonholonomic Snake Robot
T. Dear, S.D. Kelly, M. Travers, and H. Choset
Conference Paper, Proceedings of ASME Dynamic Systems and Control Conference (DSCC '17), Vol. 2, October, 2017
Towards Adaptability of Demonstration-Based Training of NPC Behavior
John Drake, Alla Safonova, and Maxim Likhachev
Conference Paper, Proceedings of 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE '17), pp. 179 - 185, October, 2017
Automatic AU detection in infants using convolutional neural network
Zakia Hammal, Wen-Sheng Chu, Jeffrey F. Cohn, Carrie L. Heike, and Matthew L. Speltz
Conference Paper, Proceedings of 7th International Conference on Affective Computing and Intelligent Interaction (ACII '17), pp. 216 - 221, October, 2017
Compact Generative Models of Point Cloud Data for 3D Perception
Benjamin Eckart
PhD Thesis, Tech. Report, CMU-RI-TR-17-68, Robotics Institute, Carnegie Mellon University, October, 2017
Developing Computational Thinking through a Virtual Robotics Programming Curriculum
Eben B. Witherspoon, Ross M. Higashi, Christian D. Schunn, Emily C. Baehr, and Robin Shoop
Journal Article, ACM Transactions on Computing Education (TOCE), Vol. 18, No. 1, October, 2017
Incremental Utility of Laboratory Results over Demographics and Vital Signs in Predicting Future Cardiorespiratory Instability
L. Chen, A. Dubrawski, G. Clermont, T. Pellathy, M. R. Pinsky, and M. Hravnak
Journal Article, Intensive Care Medicine Experimental, Vol. 5, pp. 399, October, 2017
Learning to Track at 100 FPS with Deep Regression Networks
David Held, Sebastian Thrun, and Silvio Savarese
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 749 - 765, October, 2017
Real time trajectory optimization for nonlinear robotic systems: Relaxation and convexification
Changliu Liu and Masayoshi Tomizuka
Journal Article, Systems & Control Letters, Vol. 108, pp. 56 - 63, October, 2017
Real-Time Certified Probabilistic Pedestrian Forecasting
Henry Jacobs, Owen Hughes, M. Johnson-Roberson, and Ram Vasudevan
Journal Article, IEEE Robotics and Automation Letters, Vol. 2, No. 4, pp. 2064 - 2071, October, 2017