Publications




DLow: Diversifying Latent Flows for Diverse Human Motion Prediction
Ye Yuan and Kris Kitani
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 346 - 364, August, 2020
Efficient Non-Line-of-Sight Imaging from Transient Sinograms
Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, and Matthew O'Toole
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 193 - 208, August, 2020
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang, Haohan Wang, Eric P. Xing, and Dong Huang
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, August, 2020
Visual Memorability for Robotic Interestingness via Unsupervised Online Learning
Chen Wang, Wenshan Wang, Yuheng Qiu, Yafei Hu, and Sebastian Scherer
Conference Paper, Proceedings of (ECCV) European Conference on Computer Vision, pp. 52 - 68, August, 2020
Robot Deep Reinforcement Learning: Tensor State-Action Spaces and Auxiliary Task Learning with Multiple State Representations
Devin Schwab
PhD Thesis, Tech. Report, CMU-RI-TR-20-46, Robotics Institute, Carnegie Mellon University, August, 2020
Efficient Multiresolution Scrolling Grid for MAV Obstacle Avoidance
Eric Dexheimer
Master's Thesis, Tech. Report, CMU-RI-TR-20-26, Robotics Institute, Carnegie Mellon University, August, 2020
Humans In Their Natural Habitat: Training AI to Understand People
Gunnar Atli Sigurdsson
PhD Thesis, Tech. Report, CMU-RI-TR-20-23, Robotics Institute, Carnegie Mellon University, August, 2020
Applications of Deep Learning for Robotic Agriculture
Tanvir Pal Singh Parhar
Master's Thesis, Tech. Report, CMU-RI-TR-20-37, Robotics Institute, Carnegie Mellon University, August, 2020
Discrete Communication Learning via Backpropagation on Bandwidth-Limited Communication Networks
Benjamin Freed
Master's Thesis, Tech. Report, CMU-RI-TR-20-45, Robotics Institute, Carnegie Mellon University, August, 2020
Learning based modular framework for environment-adaptive planning in exploration
Sara Misra
Master's Thesis, Tech. Report, CMU-RI-TR-20-27, Robotics Institute, Carnegie Mellon University, August, 2020
Learning Families of Behaviors for Legged Locomotion using Model-Free Deep Reinforcement Learning
Raunaq Mahesh Bhirangi
Master's Thesis, Tech. Report, CMU-RI-TR-20-40, Robotics Institute, Carnegie Mellon University, August, 2020
Learning Representations for Safe Autonomous Movement
William Qi
Master's Thesis, Tech. Report, CMU-RI-TR-20-36, Robotics Institute, Carnegie Mellon University, August, 2020
Mechanics and Control of Coupled Interactions in Ambient Media
Blake Rhyan Buchanan
Master's Thesis, Tech. Report, CMU-RI-TR-20-43, Robotics Institute, Carnegie Mellon University, August, 2020
Off-Policy Reinforcement Learning for Autonomous Driving
Hitesh Arora
Master's Thesis, Tech. Report, CMU-RI-TR-20-34, Robotics Institute, Carnegie Mellon University, August, 2020
On-Policy Reinforcement Learning for Learning to Drive in Urban Settings
Tanmay Agarwal
Master's Thesis, Tech. Report, CMU-RI-TR-20-32, Robotics Institute, Carnegie Mellon University, August, 2020
On-the-fly Targetless Extrinsics Calibration For Multi-Stereo Systems Without Field-of-View Overlap
Chenfeng Tu
Master's Thesis, Tech. Report, CMU-RI-TR-20-33, Robotics Institute, Carnegie Mellon University, August, 2020
Online Inference of Joint Occupancy using Forward Sensor Models and Trajectory Posteriors for Deliberate Robot Navigation
Kumar Shaurya Shankar
PhD Thesis, Tech. Report, CMU-RI-TR-20-47, Robotics Institute, Carnegie Mellon University, August, 2020
Robust Instance Tracking via Uncertainty Flow
Jianing Qian
Master's Thesis, Tech. Report, CMU-RI-TR-20-31, Robotics Institute, Carnegie Mellon University, August, 2020
Soft Materials Architectures for Robot Manipulation
Ryan Coulson
Master's Thesis, Tech. Report, CMU-RI-TR-20-42, Robotics Institute, Carnegie Mellon University, August, 2020
System Design, Modelling, and Control for an Off-Road Autonomous Ground Vehicle
John Mai
Master's Thesis, Tech. Report, CMU-RI-TR-20-25, Robotics Institute, Carnegie Mellon University, August, 2020
Visual Assessment for Non-Disruptive Object Extraction
Sarthak Ahuja
Master's Thesis, Tech. Report, CMU-RI-TR-20-28, Robotics Institute, Carnegie Mellon University, August, 2020
Wind-Field Estimation and Curvature Continuous Path Planning for Low Altitude Urban Aerial Mobility
Jay Patrikar
Master's Thesis, Tech. Report, CMU-RI-TR-20-30, Robotics Institute, Carnegie Mellon University, August, 2020
Search-Based Planning with Extend Operator
Allen Cheng
Master's Thesis, Tech. Report, CMU-RI-TR-20-35, Robotics Institute, Carnegie Mellon University, August, 2020
Towards Geometric Motion Planning for 3-link Kinematic Systems
Shuoqi Chen
Master's Thesis, Tech. Report, CMU-RI-TR-20-44, Robotics Institute, Carnegie Mellon University, August, 2020
Cooperative Perception for Pairs of Self-Driving Cars
Aaron Miller
Master's Thesis, Tech. Report, CMU-RI-TR-20-41, Robotics Institute, Carnegie Mellon University, August, 2020
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