Adrien Gaidon - RankMe

177 papers A* 40A 13C 1Misc 8Journal 94Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. ICRA Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2025	J	`jnl`	OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. CoRR Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	Linearizing Large Language Models. CoRR Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar
2024	J	`jnl`	NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. ECCV (88) Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2024	—	`conf`	ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	J	`jnl`	ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
2024	A*	`conf`	Streaming Detection of Queried Event Start. NeurIPS Cristóbal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles
2024	J	`jnl`	Streaming Detection of Queried Event Start. CoRR Cristóbal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles
2024	A*	`conf`	Understanding Video Transformers via Universal Concept Discovery. CVPR Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024	J	`jnl`	Understanding Video Transformers via Universal Concept Discovery. CoRR Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
2024	J	`jnl`	Zero-Shot Multi-Object Shape Completion. CoRR Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2024	—	`conf`	Zero-Shot Multi-object Scene Completion. ECCV (3) Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
2023	A*	`conf`	Breaking the "Object" in Video Object Segmentation. CVPR Pavel Tokmakov, Jie Li, Adrien Gaidon
2023	—	`conf`	Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
2023	J	`jnl`	Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CoRR Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
2023	A*	`conf`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	J	`jnl`	DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
2023	A*	`conf`	Depth Is All You Need for Monocular 3D Detection. ICRA Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2023	J	`jnl`	HomE: Homography-Equivariant Video Representation Learning. CoRR Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli
2023	—	`conf`	In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. L4DC Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon
2023	J	`jnl`	In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. CoRR Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon
2023	A*	`conf`	Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
2023	J	`jnl`	Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
2023	A*	`conf`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
2023	J	`jnl`	NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
2023	A*	`conf`	Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2023	A*	`conf`	Object Discovery from Motion-Guided Tokens. CVPR Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2023	J	`jnl`	Object Discovery from Motion-Guided Tokens. CoRR Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2023	A	`conf`	Robust Self-Supervised Extrinsic Self-Calibration. IROS Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	J	`jnl`	Robust Self-Supervised Extrinsic Self-Calibration. CoRR Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
2023	A*	`conf`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
2023	A*	`conf`	Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2023	J	`jnl`	Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	Breaking the "Object" in Video Object Segmentation. CoRR Pavel Tokmakov, Jie Li, Adrien Gaidon
2022	A*	`conf`	Control-Aware Prediction Objectives for Autonomous Driving. ICRA Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
2022	J	`jnl`	Control-Aware Prediction Objectives for Autonomous Driving. CoRR Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
2022	—	`conf`	Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
2022	J	`jnl`	Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
2022	J	`jnl`	Depth Is All You Need for Monocular 3D Detection. CoRR Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
2022	A*	`conf`	Discovering Objects that Can Move. CVPR Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2022	J	`jnl`	Discovering Objects that Can Move. CoRR Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
2022	A*	`conf`	Dynamics-Aware Comparison of Learned Reward Functions. ICLR Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon
2022	J	`jnl`	Dynamics-Aware Comparison of Learned Reward Functions. CoRR Blake Wulfe, Ashwin Balakrishna, Logan Ellis, Jean Mercat, Rowan McAllister, Adrien Gaidon
2022	J	`jnl`	Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2022	A	`conf`	Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	J	`jnl`	Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
2022	A*	`conf`	Multi-Frame Self-Supervised Depth with Transformers. CVPR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	J	`jnl`	Multi-Frame Self-Supervised Depth with Transformers. CoRR Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
2022	A*	`conf`	Object Permanence Emerges in a Random Walk along Memory. ICML Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
2022	J	`jnl`	Object Permanence Emerges in a Random Walk along Memory. CoRR Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
2022	—	`conf`	Photo-realistic Neural Domain Randomization. ECCV (25) Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	J	`jnl`	Photo-realistic Neural Domain Randomization. CoRR Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
2022	Misc	`conf`	RAP: Risk-Aware Prediction for Robust Planning. CoRL Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon
2022	J	`jnl`	RAP: Risk-Aware Prediction for Robust Planning. CoRR Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon
2022	Misc	`conf`	ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon
2022	J	`jnl`	ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
2022	Misc	`conf`	Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon
2022	A*	`conf`	Revisiting the "Video" in Video-Language Understanding. CVPR Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles
2022	J	`jnl`	Revisiting the "Video" in Video-Language Understanding. CoRR Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles
2022	—	`conf`	S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
2022	J	`jnl`	Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
2022	A*	`conf`	Self-Supervised Camera Self-Calibration from Video. ICRA Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2022	A*	`conf`	Self-supervised Learning is More Robust to Dataset Imbalance. ICLR Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
2022	J	`jnl`	ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2022	—	`conf`	ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
2021	—	`conf`	CoCon: Cooperative-Contrastive Learning. CVPR Workshops Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
2021	J	`jnl`	CoCon: Cooperative-Contrastive Learning. CoRR Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
2021	J	`jnl`	Full Surround Monodepth from Multiple Cameras. CoRR Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
2021	A*	`conf`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	J	`jnl`	Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
2021	J	`jnl`	Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
2021	A*	`conf`	Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. ICLR Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
2021	A*	`conf`	Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. CVPR Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
2021	J	`jnl`	Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation. CoRR Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
2021	A*	`conf`	Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	J	`jnl`	Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
2021	A*	`conf`	Learning to Track with Object Permanence. ICCV Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Learning to Track with Object Permanence. CoRR Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. 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
2021	—	`conf`	Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	J	`jnl`	Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
2021	A*	`conf`	Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. NeurIPS Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
2021	J	`jnl`	Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. CoRR Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
2021	J	`jnl`	RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch. IEEE Robotics Autom. Lett. Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager
2021	J	`jnl`	Self-Supervised Camera Self-Calibration from Video. CoRR Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
2021	J	`jnl`	Self-supervised Learning is More Robust to Dataset Imbalance. CoRR Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
2021	Misc	`conf`	Single-Shot Scene Reconstruction. CoRL Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
2021	A*	`conf`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2021	J	`jnl`	Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
2021	A*	`conf`	Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. ICCV Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2021	J	`jnl`	Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
2020	A*	`conf`	3D Packing for Self-Supervised Monocular Depth Estimation. CVPR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon
2020	A*	`conf`	Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. CVPR Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2020	A	`conf`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. IROS Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Differentiable Rendering: A Survey. CoRR Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020	—	`conf`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. ITSC Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	J	`jnl`	Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
2020	A	`conf`	Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. WACV Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
2020	A	`conf`	Driving Through Ghosts: Behavioral Cloning with False Positives. IROS Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	J	`jnl`	Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
2020	A	`conf`	Game-Theoretic Planning for Risk-Aware Interactive Agents. IROS Mingyu Wang, Negar Mehr, Adrien Gaidon, Mac Schwager
2020	J	`jnl`	Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. Int. J. Comput. Vis. César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio M. López
2020	J	`jnl`	Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. CoRR Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
2020	—	`conf`	It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. ECCV (2) Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
2020	J	`jnl`	It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction. CoRR Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
2020	Misc	`conf`	MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRL Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
2020	J	`jnl`	MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. CoRR Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone
2020	—	`conf`	Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. 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
2020	J	`jnl`	Monocular Differentiable Rendering for Self-Supervised 3D Object Detection. CoRR Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020	—	`conf`	Monocular Differentiable Rendering for Self-supervised 3D Object Detection. ECCV (21) Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
2020	—	`conf`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. 3DV Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	J	`jnl`	Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
2020	A	`conf`	PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. IROS Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
2020	J	`jnl`	PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. CoRR Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard
2020	J	`jnl`	RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch. CoRR Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager
2020	A*	`conf`	Real-Time Panoptic Segmentation From Dense Detections. CVPR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2020	—	`conf`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. Robotics: Science and Systems Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	J	`jnl`	Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving. CoRR Zhangjie Cao, Erdem Biyik, Woodrow Z. Wang, Allan Raventos, Adrien Gaidon, Guy Rosman, Dorsa Sadigh
2020	A	`conf`	Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. IROS Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager
2020	J	`jnl`	Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. CoRR Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager
2020	Misc	`conf`	Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
2020	A*	`conf`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	J	`jnl`	Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
2020	A*	`conf`	Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. CVPR Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles
2020	J	`jnl`	Spatio-Temporal Graph for Video Captioning with Knowledge Distillation. CoRR Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. CoRR Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2020	J	`jnl`	Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction. IEEE Robotics Autom. Lett. Bingbin Liu, Ehsan Adeli, Zhangjie Cao, Kuan-Hui Lee, Abhijeet Shenoi, Adrien Gaidon, Juan Carlos Niebles
2019	C	`conf`	An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition. IV Kuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan, Adrien Gaidon, Bertrand Douillard
2019	J	`jnl`	An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition. CoRR Kuan-Hui Lee, Takaaki Tagawa, Jia-En M. Pan, Adrien Gaidon, Bertrand Douillard
2019	J	`jnl`	Autolabeling 3D Objects with Differentiable Rendering of SDF Shape Priors. CoRR Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon
2019	J	`jnl`	Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. CoRR Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
2019	A*	`conf`	Exploring the Limitations of Behavior Cloning for Autonomous Driving. ICCV Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
2019	J	`jnl`	Exploring the Limitations of Behavior Cloning for Autonomous Driving. CoRR Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
2019	J	`jnl`	Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. CoRR César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio Manuel López Peña
2019	A*	`conf`	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. NeurIPS Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
2019	J	`jnl`	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. CoRR Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
2019	J	`jnl`	PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation. CoRR Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	A*	`conf`	ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. CVPR Fabian Manhardt, Wadim Kehl, Adrien Gaidon
2019	J	`jnl`	Real-Time Panoptic Segmentation from Dense Detections. CoRR Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon
2019	Misc	`conf`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRL Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. CoRR Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon
2019	—	`conf`	SPIGAN: Privileged Adversarial Learning from Simulation. ICLR (Poster) Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon
2019	J	`jnl`	Self-Supervised 3D Keypoint Learning for Ego-motion Estimation. CoRR Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Adrien Gaidon
2019	A*	`conf`	SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. ICRA Sudeep Pillai, Rares Ambrus, Adrien Gaidon
2019	Misc	`conf`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRL Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2019	J	`jnl`	Two Stream Networks for Self-Supervised Ego-Motion Estimation. CoRR Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon
2018	J	`jnl`	Learning to Fuse Things and Stuff. CoRR Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
2018	J	`jnl`	ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. CoRR Fabian Manhardt, Wadim Kehl, Adrien Gaidon
2018	J	`jnl`	SPIGAN: Privileged Adversarial Learning from Simulation. CoRR Kuan-Hui Lee, Germán Ros, Jie Li, Adrien Gaidon
2018	J	`jnl`	SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. CoRR Sudeep Pillai, Rares Ambrus, Adrien Gaidon
2018	J	`jnl`	The Reasonable Effectiveness of Synthetic Visual Data. Int. J. Comput. Vis. Adrien Gaidon, Antonio M. López, Florent Perronnin
2017	A*	`conf`	Procedural Generation of Videos to Train Deep Action Recognition Networks. CVPR César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel López Peña
2016	J	`jnl`	Procedural Generation of Videos to Train Deep Action Recognition Networks. CoRR César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel López Peña
2016	—	`conf`	Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition. ECCV (7) César Roberto de Souza, Adrien Gaidon, Eleonora Vig, Antonio Manuel López Peña
2016	J	`jnl`	Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition. CoRR César Roberto de Souza, Adrien Gaidon, Eleonora Vig, Antonio Manuel López Peña
2016	J	`jnl`	Virtual Worlds as Proxy for Multi-Object Tracking Analysis. CoRR Adrien Gaidon, Qiao Wang, Yohann Cabon, Eleonora Vig
2016	A*	`conf`	VirtualWorlds as Proxy for Multi-object Tracking Analysis. CVPR Adrien Gaidon, Qiao Wang, Yohann Cabon, Eleonora Vig
2015	J	`jnl`	Accelerating Stochastic Gradient Descent via Online Learning to Sample. CoRR Guillaume Bouchard, Théo Trouillon, Julien Perez, Adrien Gaidon
2015	A	`conf`	Deep Fishing: Gradient Features from Deep Nets. BMVC Albert Gordo, Adrien Gaidon, Florent Perronnin
2015	J	`jnl`	Deep Fishing: Gradient Features from Deep Nets. CoRR Albert Gordo, Adrien Gaidon, Florent Perronnin
2015	—	`conf`	Extending Generic BPM with Computer Vision Capabilities. ICSOC Workshops Adrian Mos, Adrien Gaidon, Eleonora Vig
2015	A	`conf`	Online Domain Adaptation for Multi-Object Tracking. BMVC Adrien Gaidon, Eleonora Vig
2015	J	`jnl`	Online Domain Adaptation for Multi-Object Tracking. CoRR Adrien Gaidon, Eleonora Vig
2014	J	`jnl`	Activity representation with motion hierarchies. Int. J. Comput. Vis. Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2014	J	`jnl`	Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams. CoRR Adrien Gaidon, Gloria Zen, José A. Rodríguez-Serrano
2013	J	`jnl`	Automatic Recognition of Human Activities in Realistic Videos. ERCIM News Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2013	J	`jnl`	Temporal Localization of Actions with Actoms. IEEE Trans. Pattern Anal. Mach. Intell. Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2012	A	`conf`	Recognizing activities with cluster-trees of tracklets. BMVC Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2011	A	`conf`	A time series kernel for action recognition. BMVC Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2011	A*	`conf`	Actom sequence models for efficient action detection. CVPR Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid
2009	A	`conf`	Mining Visual Actions from Movies. BMVC Adrien Gaidon, Marcin Marszalek, Cordelia Schmid
2008	—	`conf`	INRIA-LEAR'S Video Copy Detection System. TRECVID Matthijs Douze, Adrien Gaidon, Hervé Jégou, Marcin Marszalek, Cordelia Schmid