Publications




Toward Increased Airspace Safety: Quadrotor Guidance for Targeting Aerial Objects
Anish Bhattacharya
Master's Thesis, Tech. Report, CMU-RI-TR-20-39, Robotics Institute, Carnegie Mellon University, August, 2020
4D Forecasting: Sequential Forecasting of 100,000 Points
Xinshuo Weng, Jianren Wang, Sergey Levine, Kris Kitani, and Nicholas Rhinehart
Workshop Paper, ECCV '20 Workshops, August, 2020
A Review of Primary Math Curricula
Bambi Brewer and Emily Hamner
Tech. Report, CMU-RI-TR-20-56, Robotics Institute, Carnegie Mellon University, August, 2020
AB3DMOT: A Baseline for 3D Multi-Object Tracking and New Evaluation Metrics
Xinshuo Weng, Jianren Wang, David Held, and Kris Kitani
Workshop Paper, ECCV '20 Workshops, August, 2020
Active Perception using Light Curtains for Autonomous Driving
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, and David Held
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 751 - 766, August, 2020
Aligning Videos in Space and Time
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, and Abhinav Gupta
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 262 - 278, August, 2020
Artistic Style in Robotic Painting; a Machine Learning Approach to Learning Brushstroke from Human Artists
Ardavan Bidgoli, Manuel Ladron De Guevara, Cinnie Hsiung, Jean Oh, and Eunsu Kang
Conference Paper, Proceedings of 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN '20), pp. 412 - 418, August, 2020
Assistive VR Gym: Interactions with Real People to Improve Virtual Assistive Robots
Zackory Erickson, Yijun Gu, and Charles C. Kemp
Conference Paper, Proceedings of 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN '20), pp. 299 - 306, August, 2020
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Xiaofang Wang, Xuehan Xiong, Maxim Neumann, A. J. Piergiovanni, Michael S. Ryoo, Anelia Angelova, Kris M. Kitani, and Wei Hua
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 449 - 465, August, 2020
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Senthil Purushwalkam, Tian Ye, Saurabh Gupta, and Abhinav Gupta
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 262 - 278, August, 2020
Contrastive Learning for Unpaired Image-to-Image Translation
Taesung Park, Alexei A. Efros, Richard Zhang, and Jun-Yan Zhu
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 319 - 345, August, 2020
Data-driven Koopman operators for model-based shared control of human–machine systems
Alexander Broad, Ian Abraham, Todd Murphey, and Brenna Argall
Journal Article, International Journal of Robotics Research, Vol. 39, No. 9, pp. 1178 - 1195, August, 2020
Designing Context-Sensitive Norm Inverse Reinforcement Learning Framework for Norm-Compliant Autonomous Agents
Yue Guo, Boshi Wang, Dana Hughes, Michael Lewis, and Katia Sycara
Conference Paper, Proceedings of 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN '20), pp. 618 - 625, August, 2020
Detecting Deception Attacks on Autonomous Vehicles via Linear Time-Varying Dynamic Watermarking
M. Porter, S. Dey, A. Joshi, P. Hespanhol, A. Aswani, M. Johnson-Roberson, and R. Vasudevan
Conference Paper, Proceedings of IEEE Conference on Control Technology and Applications (CCTA '20), August, 2020
Error Vulnerabilities and Fault Recovery in Deep-Learning Frameworks for Hardware Accelerators
Iljoo Baek, Zhihao Zhu, Sourav Panda, Nandha Kishore Srinivasan, Soheil Samii, and Ragunathan Raj Rajkumar
Conference Paper, Proceedings of IEEE 26th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA '20), August, 2020
Graph Neural Networks for 3D Multi-Object Tracking
Xinshuo Weng, Yongxin Wang, Yunze Man, and Kris Kitani
Workshop Paper, ECCV '20 Workshops, August, 2020
GSIR: Generalizable 3D Shape Interpretation and Reconstruction
Jianren Wang and Zhaoyuan Fang
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 498 - 514, August, 2020
Inferring Non-Stationary Human Preferences for Human-Agent Teams
Dana Hughes, Akshat Agarwal, Yue Guo, and Katia Sycara
Conference Paper, Proceedings of 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN '20), pp. 1178 - 1185, August, 2020
Mechanics and Control of Coupled Interactions in Ambient Media
Blake Buchanan
Master's Thesis, Tech. Report, CMU-RI-TR-20-43, Robotics Institute, Carnegie Mellon University, August, 2020
Neural Batch Sampling with Reinforcement Learning for Semi-supervised Anomaly Detection
Wen-Hsuan Chu and Kris M. Kitani
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 751 - 766, August, 2020
Perceiving 3D Human-Object Spatial Arrangements from a Single Image in the Wild
Jason Y. Zhang, Sam Pepose, Hanbyul Joo, Deva Ramanan, Jitendra Malik, and Angjoo Kanazawa
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 34 - 51, August, 2020
Rewriting a Deep Generative Model
David Bau, Steven Liu, Tongzhou Wang, Jun-Yan Zhu, and Antonio Torralba
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 351 - 369, August, 2020
Semantic curiosity for active visual learning
Devendra Singh Chaplot, Helen Jiang, Saurabh Gupta, and Abhinav Gupta
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 309 - 326, August, 2020
TAO: A Large-Scale Benchmark for Tracking Any Object
Achal Dave, Tarasha Khurana, Pavel Tokmakov, Cordelia Schmid, and Deva Ramanan
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 436 - 454, August, 2020
The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement
William Peebles, John Peebles, Jun-Yan Zhu, Alexei A. Efros, and Antonio Torralba
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 581 - 597, August, 2020
Toward Learning at Scale in Developing Countries: Lessons from the Global Learning XPRIZE Field Study
Andrew A. McReynolds, Sheba P. Naderzad, Mononito Goswami, and Jack Mostow
Conference Paper, Proceedings of 7th ACM Conference on Learning @ Scale (L@S '20), pp. 175 - 183, August, 2020
Towards Streaming Perception
Mengtian Li, Yuxiong Wang, and Deva Ramanan
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 473 - 488, August, 2020
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, and Katerina Fragkiadaki
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 598 - 614, August, 2020
Transforming and Projecting Images into Class-conditional Generative Networks
Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, and Aaron Hertzmann
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 17 - 34, August, 2020
Unsupervised Cross-Modal Alignment for Multi-person 3D Pose Estimation
Jogendra Nath Kundu, Ambareesh Revanur, Govind Vitthal Waghmare, Rahul Mysore Venkatesh, and R. Venkatesh Babu
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 35 - 52, August, 2020
Unsupervised learning of video representations via dense trajectory clustering
Pavel Tokmakov, Martial Hebert, and Cordelia Schmid
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 404 - 421, August, 2020
Accurate Orientation Estimates for Deep Inertial Odometry
Scott Sun
Master's Thesis, Tech. Report, CMU-RI-TR-20-29, Robotics Institute, Carnegie Mellon University, July, 2020
Towards Robust Multi Camera Visual Inertial Odometry
Joshua Jaekel
Master's Thesis, Tech. Report, CMU-RI-TR-20-24, Robotics Institute, Carnegie Mellon University, July, 2020
Automated Action Selection and Embodied Simulation for Socially Assistive Robots using Standardized Interactions
Kim Baraka
PhD Thesis, Tech. Report, CMU-RI-TR-20-38, Robotics Institute, Carnegie Mellon University, July, 2020
Hierarchical U-shape attention network for salient object detection
Sanping Zhou, Jinjun Wang, Jimuyang Zhang, Le Wang, Dong Huang, Shaoyi Du, and Nanning Zheng
Journal Article, IEEE Transactions on Image Processing, Vol. 29, pp. 8417 - 8428, July, 2020
Learning Off-Policy with Online Planning
Harshit Sikchi, Wenxuan Zhou, and David Held
Workshop Paper, ICML '20 Inductive Biases, Invariances and Generalization in Reinforcement Learning Workshop, July, 2020
Coping with sample inefficiency of deep-reinforcement learning (DRL) for embodied AI
Vidhi Jain, Simin Liu, and Ganesh Iyer
Miscellaneous, July, 2020
Learning Active Task-Oriented Exploration Policies for Bridging the Sim-to-Real Gap
Jacky Liang, Saumya Saxena, and Oliver Kroemer
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '20), July, 2020
Online Connectivity-aware Dynamic Distribution for Heterogeneous Multi-Robot Systems
Chendi Lin, Wenhao Luo, and Katia Sycara
Workshop Paper, RSS '20 Workshop on Heterogeneous Multi-Robot Task Allocation and Coordination, July, 2020
“Provably Safe” in the Wild: Testing Control Barrier Functions on a Vision-Based Quadrotor in an Outdoor Environment
Cherie Ho, Katherine Shih, Jaskaran Singh Grover, Changliu Liu, and Sebastian Scherer
Workshop Paper, RSS '20 2nd Workshop on Robust Autonomy: Safe Robot Learning and Control in Uncertain Real-World Environments, July, 2020
Adaptive Tube Library for Safe Online Planning under Unknown Tracking Performance
Cherie Ho, Jay Patrikar, Rogerio Bonatti, and Sebastian Scherer
Workshop Paper, RSS '20 2nd Workshop on Robust Autonomy: Safe Robot Learning and Control in Uncertain Real-World Environments, July, 2020
An Active Perception Approach for Mid-Water Localization of Autonomous Underwater Vehicles
Dongsik Chang, M. Johnson-Roberson, and Jing Sun
Conference Paper, Proceedings of American Control Conference (ACC '20), pp. 671 - 676, July, 2020
Cooperation-Aware Lane Change Maneuver in Dense Traffic based on Model Predictive Control with Recurrent Neural Network
Sangjae Bae, Dhruv Saxena, Alireza Nakhaei, Chiho Choi, Kikuo Fujimura, and Scott Moura
Conference Paper, Proceedings of American Control Conference (ACC '20), pp. 1209 - 1216, July, 2020
Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution
Akella Ravi Tej, Shirsendu Sukanta Halder, Arunav Pratap Shandeelya, and Vinod Pankajakshan
Conference Paper, Proceedings of International Joint Conference on Neural Networks (IJCNN '20), July, 2020
Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar and Abhinav Gupta
Conference Paper, Proceedings of (ICML) International Conference on Machine Learning, pp. 8624 - 8633, July, 2020
Medieval Robots: The Role of Historical Automata in the Design of Future Robots
Michal Luria, Juliet Pusateri, Judeth Oden Choi, Reuben Aronson, Nur Yildirim, and Molly Wright Steenson
Conference Paper, Proceedings of Companion Publication of the ACM Designing Interactive Systems Conference (DIS '20), pp. 191 - 195, July, 2020
Pixel-Wise Motion Deblurring of Thermal Videos
S. Manikandasriram, R. Vasudevan, and M. Johnson-Roberson
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '20), July, 2020
Planning and Execution using Inaccurate Models with Provable Guarantees
Anirudh Vemula, Yash Oza, J. Andrew Bagnell, and Maxim Likhachev
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '20), July, 2020
Policy Iteration with Gaussian Process based Value Function Approximation
Ashwin Khadke and Akshara Rai
Workshop Paper, RSS '20 Robotics Retrospectives Workshop (RobRetro '20), July, 2020
Reachable Sets for Safe, Real-Time Manipulator Trajectory Design
P. Holmes, S. Kousik, B. Zhang, D. Raz, C. Barbalata, M. Johnson-Roberson, and R. Vasudevan
Conference Paper, Proceedings of Robotics: Science and Systems (RSS '20), July, 2020