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Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss


Jun 17, 2021
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma


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Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation


Jun 08, 2021
Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon

* 13 pages, 9 figures, including supplementary material. To be published in CVPR 2021 

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CoCon: Cooperative-Contrastive Learning


Apr 30, 2021
Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles


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Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty


Apr 26, 2021
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone

* 17 pages, 12 figures, 5 tables 

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Full Surround Monodepth from Multiple Cameras


Mar 31, 2021
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon


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Geometric Unsupervised Domain Adaptation for Semantic Segmentation


Mar 30, 2021
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon


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Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion


Mar 30, 2021
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon


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Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark


Mar 29, 2021
Sharada Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Gražvydas Šemetulskis, João Schapke, Jonas Kubilius, Jurgis Pašukonis, Linas Klimas, Matthew Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe


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Learning to Track with Object Permanence


Mar 26, 2021
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon


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Monocular Depth Estimation for Soft Visuotactile Sensors


Jan 05, 2021
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach


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Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation


Nov 24, 2020
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

* The 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC2020) 
* 8 pages, 8 figures 

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Behaviorally Diverse Traffic Simulation via Reinforcement Learning


Nov 11, 2020
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon

* IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, pp. 2103-2110 
* 8 pages, 16 figures 

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RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch


Oct 16, 2020
Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager

* Submitted to IEEE Robotics and Automation Letters with ICRA 2021 Option 

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Monocular Differentiable Rendering for Self-Supervised 3D Object Detection


Sep 30, 2020
Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon

* 20 pages, Supplementary material included, Published in ECCV 2020 

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MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control


Sep 16, 2020
Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

* 14 pages, 6 figures, 1 table 

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Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction


Sep 12, 2020
Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager

* To appear in 2020 IEEE/RSJ IROS 

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PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving


Aug 29, 2020
Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard

* Accepted by IROS 2020 

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Driving Through Ghosts: Behavioral Cloning with False Positives


Aug 29, 2020
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard

* 7 pages, 5 figures, 4 tables, accepted at 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020) 

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Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion


Aug 15, 2020
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon


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End-to-end Birds-eye-view Flow Estimation for Autonomous Driving


Aug 03, 2020
Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard

* Accepted by IROS 2020 

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Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving


Jul 01, 2020
Zhangjie Cao, Erdem Bıyık, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh

* 10 pages, 7 figures. Published at Robotics: Science and Systems (RSS) 2020 

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Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization


Jun 29, 2020
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma


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Differentiable Rendering: A Survey


Jun 22, 2020
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon


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It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction


Apr 04, 2020
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon

* 14 pages, 6 figures, 3 tables 

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Spatio-Temporal Graph for Video Captioning with Knowledge Distillation


Mar 31, 2020
Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles

* CVPR 2020 

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Semantically-Guided Representation Learning for Self-Supervised Monocular Depth


Feb 27, 2020
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

* Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020) 

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Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction


Feb 20, 2020
Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles

* Accepted at ICRA 2020 and IEEE Robotics and Automation Letters 

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Self-Supervised 3D Keypoint Learning for Ego-motion Estimation


Dec 07, 2019
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon

* Video: https://www.youtube.com/watch?v=4hFhSD8QUPM 

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