Publications




Reliable Navigation for Autonomous Vehicles in Connected Vehicle Environments by using Multi-agent Sensor Fusion
Suryansh Saxena
Master's Thesis, Tech. Report, CMU-RI-TR-17-45, Robotics Institute, Carnegie Mellon University, August, 2017
Robust Adversarial Reinforcement Learning
Lerrel Pinto, James Davidson, Rahul Sukthankar, and Abhinav Gupta
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, pp. 2817 - 2826, August, 2017
Safe and Efficient Navigation in Dynamic Environments
Anirudh Vemula
Master's Thesis, Tech. Report, CMU-RI-TR-17-40, Robotics Institute, Carnegie Mellon University, August, 2017
Shape Prior Meets Geometry in Single and Multi-view Shape Reconstruction
Rui Zhu
Master's Thesis, Tech. Report, CMU-RI-TR-17-54, Robotics Institute, Carnegie Mellon University, August, 2017
Situational Awareness and Mixed Initiative Markup for Human-Robot Team Plans
Nathan Brooks
PhD Thesis, Tech. Report, CMU-RI-TR-17-64, Robotics Institute, Carnegie Mellon University, August, 2017
State Estimation and Localization for ROV-Based Reactor Pressure Vessel Inspection Using a Pan-Tilt-Zoom Camera
Timothy E. Lee
Master's Thesis, Tech. Report, CMU-RI-TR-17-48, Robotics Institute, Carnegie Mellon University, August, 2017
State Estimation and Vision-based Occupancy Mapping for Off-Road Driving
Wei-Hsin Chou
Master's Thesis, Tech. Report, CMU-RI-TR-17-58, Robotics Institute, Carnegie Mellon University, August, 2017
Supervised Learning of Corrective Maneuvers for Vision-Based Autonomous Flight
Dhruv Mauria Saxena
Master's Thesis, Tech. Report, CMU-RI-TR-17-55, Robotics Institute, Carnegie Mellon University, August, 2017
Verbalization of Service Robot Experience as Explanations in Language Including Vision-Based Learned Elements
Sai Prabhakar Pandi Selvaraj
Master's Thesis, Tech. Report, CMU-RI-TR-17-53, Robotics Institute, Carnegie Mellon University, August, 2017
What Is the Robot Thinking? Embedded Feedback in the Intelligent Workcell Manufacturing Environment
Harrison Billmers
Master's Thesis, Tech. Report, CMU-RI-TR-17-49, Robotics Institute, Carnegie Mellon University, August, 2017
Brief Announcement: Stateless Computation
D. Dolev, Michael Erdmann, N. Lutz, M. Schapira, and A. Zair
Conference Paper, Proceedings of ACM Symposium on Principles of Distributed Computing, pp. 419 - 421, July, 2017
From Red Wine to Red Tomato: Composition with Context
Ishan Misra, Abhinav Gupta, and Martial Hebert
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 1160 - 1169, July, 2017
Robust anytime tracking combining 3D shape, color, and motion with annealed dynamic histograms
David Held, Jesse Levinson, Sebastian Thrun, and Silvio Savarese
Miscellaneous, U.S. Patent 9,710,925 issued July 18, 2017, July, 2017
Enabling Robots to Communicate their Objectives
Sandy H. Huang, David Held, Pieter Abbeel, and Anca D. Dragan
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Dynamic walking on randomly-varying discrete terrain with one-step preview
Quan Nguyen, Ayush Agrawal, Xingye Da, William Martin, Hartmut Geyer, Jessy Grizzle, and Koushil Sreenath
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Exact Bounds on the Contact Driven Motion of a Sliding Object, With Applications to Robotic Pulling
Eric Huang, Ankit Bhatia, Byron Boots, and Matthew Mason
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Whole-Cloth Quilting Patterns from Photographs
Chenxi Liu, Jessica K. Hodgins, and James McCann
Conference Paper, Proceedings of Symposium on Non-Photorealistic Animation and Rendering (NPAR '17), July, 2017
Acting under Uncertainty for Information Gathering and Shared Autonomy
Shervin Javdani
PhD Thesis, Tech. Report, CMU-RI-TR-17-52, Robotics Institute, Carnegie Mellon University, July, 2017
Asynchronous Temporal Fields for Action Recognition
Gunnar A. Sigurdsson, Santosh Divvala, Ali Farhadi, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5650 - 5659, July, 2017
A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection
Xiaolong Wang, Abhinav Shrivastava, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3039 - 3048, July, 2017
ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification
Rohit Girdhar, Deva Ramanan, Abhinav Gupta, Josef Sivic, and Bryan Russell
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3165 - 3174, July, 2017
Binge Watching: Scaling Affordance Learning From Sitcoms
Xiaolong Wang, Rohit Girdhar, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3366 - 3375, July, 2017
Forecasting Interactive Dynamics of Pedestrians with Fictitious Play
Wei-Chiu Ma, De-An Huang, Namhoon Lee, and Kris M. Kitani
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 4636 - 4644, July, 2017
Learning From Noisy Large-Scale Datasets With Minimal Supervision
Andreas Veit, Neil Alldrin, Gal Chechik, Ivan Krasin, Abhinav Gupta, and Serge Belongie
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 6575 - 6583, July, 2017
Lightweight Structure Design Under Force Location Uncertainty
Erva Ulu, James McCann, and Levent Burak Kara
Journal Article, ACM Transactions on Graphics (TOG), Vol. 36, No. 4, July, 2017
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino, Ruslan Salakhutdinov, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 20 - 28, July, 2017
What’s in a Question: Using Visual Questions as a Form of Supervision
Siddha Ganju, Olga Russakovsky, and Abhinav Gupta
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 6422 - 6431, July, 2017
Adaptive Information Gathering via Imitation Learning
Sanjiban Choudhury, Ashish Kapoor, Gireeja Ranade, Sebastian Scherer, and Debadeepta Dey
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Connecting Look and Feel: Associating the visual and tactile properties of physical materials
Wenzhen Yuan, Shaoxiong Wang, Siyuan Dong, and Edward Adelson
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5580 - 5588, July, 2017
Predicting Bus Dwell Times in Dense Urban Transit Networks Using Bayesian Hierarchical Modeling
Conor Igoe and Eli Bronstein
Miscellaneous, Carnegie Mellon University, RISS Poster Session, July, 2017
3D Human Pose Estimation = 2D Pose Estimation + Matching
C. Chen and D. Ramanan
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 5759 - 5767, July, 2017
A Branch-and-Bound Framework for Unsupervised Common Event Discovery
Wen-Sheng Chu, Fernando De la Torre Frade, Jeffrey Cohn, and Daniel Messinger
Journal Article, International Journal on Computer Vision, Vol. 123, No. 3, pp. 372 - 391, July, 2017
A deep learning approach for generalized speech animation
Sarah Taylor, Taehwan Kim, Yisong Yue, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, and Iain Matthews
Journal Article, ACM Transactions on Graphics (TOG), Vol. 38, No. 4, July, 2017
A Fast Stochastic Contact Model for Planar Pushing and Grasping: Theory and Experimental Validation
Jiaji Zhou, J. Andrew (Drew) Bagnell, and Matthew T. Mason
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Active Illumination for the Real World
Supreeth Achar
PhD Thesis, Tech. Report, CMU-RI-TR-17-65, Robotics Institute, Carnegie Mellon University, July, 2017
Additive Component Analysis
C. Murdock and F. De la Torre
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 673 - 681, July, 2017
Anytime Geometric Motion Planning on Large Dense Roadmaps
Shushman Choudhury
Master's Thesis, Tech. Report, CMU-RI-TR-17-34, Robotics Institute, Carnegie Mellon University, July, 2017
Bingham Distribution-Based Linear Filter for Online Pose Estimation
Arun Srivatsan Rangaprasad, Mengyun Xu, Nicolas Zevallos, and Howie Choset
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Computational Design of Telescoping Structures
Chris Yu, Keenan Crane, and Stelian Coros
Journal Article, ACM Transactions on Graphics (TOG), Vol. 36, No. 4, July, 2017
Data collection for screwdriving
Reuben M. Aronson, Ankit Bhatia, Zhenzhong Jia, and Matthew T. Mason
Workshop Paper, RSS '17 Workshop on (Empirically) Data-Driven Manipulation, July, 2017
DIRTREL: Robust Trajectory Optimization with Ellipsoidal Disturbances and LQR Feedback
Zac Manchester and Scott Kuindersma
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Discriminative optimization: theory and applications to point cloud registration
J. Vongkulbhisal, F. De la Torre, and J. Paulo Costeira
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3975 - 3983, July, 2017
Efficient online multi-robot exploration via distributed sequential greedy assignment
M. Corah and N. Michael
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Epipolar Time-of-Flight Imaging
S. Achar, J. Bartels, W. L. Whittaker, K. N. Kutulakos, and S. G. Narasimhan
Journal Article, ACM Transactions on Graphics (TOG), Vol. 36, No. 4, July, 2017
Expecting the Unexpected: Training Detectors for Unusual Pedestrians With Adversarial Imposters
S. Huang and D. Ramanan
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 4664 - 4673, July, 2017
Experience-driven predictive control with robust constraint satisfaction under time-varying state uncertainty
V. R. Desaraju, A. E. Spitzer, and N. Michael
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '17), July, 2017
Finding Tiny Faces
P. Hu and D. Ramanan
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 1522 - 1530, July, 2017
Flying Like a Pilot in Wind: Smooth Trajectory Optimization in a Moving Reference Frame
Vishal Dugar
Master's Thesis, Tech. Report, CMU-RI-TR-17-50, Robotics Institute, Carnegie Mellon University, July, 2017
Growing a Brain: Fine-Tuning by Increasing Model Capacity
Yuxiong Wang, Deva Ramanan, and Martial Hebert
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 3029 - 3038, July, 2017
Hand Keypoint Detection in Single Images Using Multiview Bootstrapping
Tomas Simon, Hanbyul Joo, Iain Matthews, and Yaser Sheikh
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 4645 - 4653, July, 2017