Adrien Gaidon

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 155

Top Venues

Publications

Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. SIGGRAPH (Conference Paper Track) (2024)
Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov
Zero-Shot Multi-Object Shape Completion. CoRR (2024)
Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields. CoRR (2024)
Jean Mercat, Igor Vasiljevic, Sedrick Keh, Kushal Arora, Achal Dave, Adrien Gaidon, Thomas Kollar
Linearizing Large Language Models. CoRR (2024)
Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov
Understanding Video Transformers via Universal Concept Discovery. CoRR (2024)
Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus
ReFiNe: Recursive Field Networks for Cross-modal Multi-scene Representation. CoRR (2024)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CoRR (2023)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. CoRR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. ICCV (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. CoRR (2023)
Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. L4DC (2023)
Pavel Tokmakov, Jie Li, Adrien Gaidon
Breaking the "Object" in Video Object Segmentation. CVPR (2023)
Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CVPR (2023)
Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon
Towards Zero-Shot Scale-Aware Monocular Depth Estimation. ICCV (2023)
Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Object Discovery from Motion-Guided Tokens. CVPR (2023)
Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus
Robust Self-Supervised Extrinsic Self-Calibration. IROS (2023)
Fernando Castañeda, Haruki Nishimura, Rowan McAllister, Koushil Sreenath, Adrien Gaidon
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States. CoRR (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CVPR (2023)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Neural Groundplans: Persistent Neural Scene Representations from a Single Image. ICLR (2023)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. CoRR (2023)
Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu
Multi-Object Manipulation via Object-Centric Neural Scattering Functions. CoRR (2023)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. ICRA (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CoRR (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. ICCV (2023)
Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon
Viewpoint Equivariance for Multi-View 3D Object Detection. CoRR (2023)
Jiading Fang, Shengjie Lin, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Adrien Gaidon, Gregory Shakhnarovich, Matthew R. Walter
NeRFuser: Large-Scale Scene Representation by NeRF Fusion. CoRR (2023)
Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. CoRR (2023)
Anirudh Sriram, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles, Li Fei-Fei, Ehsan Adeli
HomE: Homography-Equivariant Video Representation Learning. CoRR (2023)
Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR (2023)
Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan McAllister, Adrien Gaidon
RAP: Risk-Aware Prediction for Robust Planning. CoRR (2022)
Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon
Dynamics-Aware Comparison of Learned Reward Functions. ICLR (2022)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow without Real-World Labels. CoRR (2022)
Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon
RAP: Risk-Aware Prediction for Robust Planning. CoRL (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. CoRR (2022)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CVPR (2022)
Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization. CoRR (2022)
Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert
Discovering Objects that Can Move. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CoRR (2022)
Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani
S2Net: Stochastic Sequential Pointcloud Forecasting. ECCV (27) (2022)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. ICRA (2022)
Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon
Depth Is All You Need for Monocular 3D Detection. CoRR (2022)
Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon
Multi-Frame Self-Supervised Depth with Transformers. CVPR (2022)
Pavel Tokmakov, Jie Li, Adrien Gaidon
Breaking the "Object" in Video Object Segmentation. CoRR (2022)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth From Multiple Cameras. IEEE Robotics Autom. Lett. 7 (2) (2022)
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
Self-supervised Learning is More Robust to Dataset Imbalance. ICLR (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. CoRR (2022)
Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon
ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. ECCV (2) (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks For Generalizable Multi-view Scene Representation. ECCV (32) (2022)
Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRL (2022)
Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon
Photo-realistic Neural Domain Randomization. ECCV (25) (2022)
Blake Wulfe, Ashwin Balakrishna, Logan Ellis, Jean Mercat, Rowan McAllister, Adrien Gaidon
Dynamics-Aware Comparison of Learned Reward Functions. CoRR (2022)
Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
Control-Aware Prediction Objectives for Autonomous Driving. CoRR (2022)
Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Ambrus, Adrien Gaidon, William T. Freeman, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann
Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement. CoRR (2022)
Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles
Revisiting the "Video" in Video-Language Understanding. CoRR (2022)
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. IROS (2022)
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Depth Field Networks for Generalizable Multi-view Scene Representation. CoRR (2022)
Sergey Zakharov, Rares Ambrus, Katherine Liu, Adrien Gaidon
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. CoRR (2022)
Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles
Revisiting the "Video" in Video-Language Understanding. CVPR (2022)
Vitor Guizilini, Kuan-Hui Lee, Rares Ambrus, Adrien Gaidon
Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels. IEEE Robotics Autom. Lett. 7 (2) (2022)
Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon
Control-Aware Prediction Objectives for Autonomous Driving. ICRA (2022)
Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon
Object Permanence Emerges in a Random Walk along Memory. ICML (2022)
Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. CoRL (2022)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. RoboSoft (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. ICCV (2021)
Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
CoCon: Cooperative-Contrastive Learning. CVPR Workshops (2021)
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
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. CoRR (2021)
Haruki Nishimura, Negar Mehr, Adrien Gaidon, Mac Schwager
RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch. IEEE Robotics Autom. Lett. 6 (2) (2021)
Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
Hierarchical Lovász Embeddings for Proposal-free Panoptic Segmentation. CoRR (2021)
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. ICLR (2021)
Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles
CoCon: Cooperative-Contrastive Learning. CoRR (2021)
Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. CVPR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? CoRR (2021)
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. NeurIPS (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CoRR (2021)
Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagholo Guizilini, Dennis Park, Wadim Kehl, Frédo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon
Single-Shot Scene Reconstruction. CoRL (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. CoRR (2021)
Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. CVPR (2021)
Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon
Is Pseudo-Lidar needed for Monocular 3D Object detection? ICCV (2021)
Rares Ambrus, Vitor Guizilini, Naveen Kuppuswamy, Andrew Beaulieu, Adrien Gaidon, Alex Alspach
Monocular Depth Estimation for Soft Visuotactile Sensors. CoRR (2021)
Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter
Self-Supervised Camera Self-Calibration from Video. CoRR (2021)
Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. CoRR (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. ICCV (2021)
Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon
Learning to Track with Object Permanence. CoRR (2021)
Vitor Guizilini, Igor Vasiljevic, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon
Full Surround Monodepth from Multiple Cameras. CoRR (2021)
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. CoRR (2021)
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
Self-supervised Learning is More Robust to Dataset Imbalance. CoRR (2021)
Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. ICCV (2021)
Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon
Geometric Unsupervised Domain Adaptation for Semantic Segmentation. CoRR (2021)
Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon
It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. ECCV (2) (2020)
Daisuke Nishiyama, Mario Ynocente Castro, Shirou Maruyama, Shinya Shiroshita, Karim Hamzaoui, Yi Ouyang, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation. CoRR (2020)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. CoRR (2020)
Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon
Behaviorally Diverse Traffic Simulation via Reinforcement Learning. CoRR (2020)
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
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark. NeurIPS (Competition and Demos) (2020)
Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Wolfram Burgard, Greg Shakhnarovich, Adrien Gaidon
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion. CoRR (2020)
Mingyu Wang, Negar Mehr, Adrien Gaidon, Mac Schwager
Game-Theoretic Planning for Risk-Aware Interactive Agents. IROS (2020)
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. ICLR (2020)
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon
Differentiable Rendering: A Survey. CoRR (2020)
Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. IROS (2020)
Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. CoRL (2020)
Andreas Bühler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard
Driving Through Ghosts: Behavioral Cloning with False Positives. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Adrien Gaidon