Adrien Gaidon
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
71
Venues
12
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
71 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICRA | OmniShape: Zero-Shot Multi-Hypothesis Shape and Pose Estimation in the Real World. | Katherine Liu, Sergey Zakharov, Dian Chen, Takuya Ikeda, Greg Shakhnarovich, Adrien Gaidon, Rares Ambrus |
| 2024 | CVPR | Understanding Video Transformers via Universal Concept Discovery. | Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov |
| 2024 | ECCV | NeRF-MAE: Masked AutoEncoders for Self-supervised 3D Representation Learning for Neural Radiance Fields. | Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini, Adrien Gaidon, Zsolt Kira, Rares Ambrus |
| 2024 | ECCV | Zero-Shot Multi-object Scene Completion. | Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rares Ambrus, Sergey Zakharov |
| 2024 | SIGGRAPH | ReFiNe: Recursive Field Networks for Cross-Modal Multi-Scene Representation. | Sergey Zakharov, Katherine Liu, Adrien Gaidon, Rares Ambrus |
| 2023 | CVPR | Viewpoint Equivariance for Multi-View 3D Object Detection. | Dian Chen, Jie Li, Vitor Guizilini, Rares Ambrus, Adrien Gaidon |
| 2023 | CVPR | Object Discovery from Motion-Guided Tokens. | Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2023 | CVPR | Multi-Object Manipulation via Object-Centric Neural Scattering Functions. | Stephen Tian, Yancheng Cai, Hong-Xing Yu, Sergey Zakharov, Katherine Liu, Adrien Gaidon, Yunzhu Li, Jiajun Wu |
| 2023 | CVPR | Breaking the "Object" in Video Object Segmentation. | Pavel Tokmakov, Jie Li, Adrien Gaidon |
| 2023 | ICCV | Towards Zero-Shot Scale-Aware Monocular Depth Estimation. | Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon |
| 2023 | ICCV | DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. | Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon |
| 2023 | ICCV | NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. | Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus |
| 2023 | ICLR | Neural Groundplans: Persistent Neural Scene Representations from a Single Image. | Prafull Sharma, Ayush Tewari, Yilun Du, Sergey Zakharov, Rares Andrei Ambrus, Adrien Gaidon, William T. Freeman, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann |
| 2023 | ICRA | Depth Is All You Need for Monocular 3D Detection. | Dennis Park, Jie Li, Dian Chen, Vitor Guizilini, Adrien Gaidon |
| 2023 | IROS | Robust Self-Supervised Extrinsic Self-Calibration. | Takayuki Kanai, Igor Vasiljevic, Vitor Guizilini, Adrien Gaidon, Rares Ambrus |
| 2022 | CoRL | Representation Learning for Object Detection from Unlabeled Point Cloud Sequences. | Xiangru Huang, Yue Wang, Vitor Campanholo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin M. Solomon |
| 2022 | CoRL | RAP: Risk-Aware Prediction for Robust Planning. | Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon |
| 2022 | CoRL | ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes. | Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon |
| 2022 | CVPR | Discovering Objects that Can Move. | Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2022 | CVPR | Revisiting the "Video" in Video-Language Understanding. | Shyamal Buch, Cristbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles |
| 2022 | CVPR | Multi-Frame Self-Supervised Depth with Transformers. | Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon |
| 2022 | ECCV | Depth Field Networks For Generalizable Multi-view Scene Representation. | Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon |
| 2022 | ECCV | ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization. | Muhammad Zubair Irshad, Sergey Zakharov, Rares Ambrus, Thomas Kollar, Zsolt Kira, Adrien Gaidon |
| 2022 | ECCV | S2Net: Stochastic Sequential Pointcloud Forecasting. | Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani |
| 2022 | ECCV | Photo-realistic Neural Domain Randomization. | Sergey Zakharov, Rares Ambrus, Vitor Guizilini, Wadim Kehl, Adrien Gaidon |
| 2022 | ICLR | Self-supervised Learning is More Robust to Dataset Imbalance. | Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma |
| 2022 | ICLR | Dynamics-Aware Comparison of Learned Reward Functions. | Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon |
| 2022 | ICML | Object Permanence Emerges in a Random Walk along Memory. | Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon |
| 2022 | ICRA | Self-Supervised Camera Self-Calibration from Video. | Jiading Fang, Igor Vasiljevic, Vitor Guizilini, Rares Ambrus, Greg Shakhnarovich, Adrien Gaidon, Matthew R. Walter |
| 2022 | ICRA | Control-Aware Prediction Objectives for Autonomous Driving. | Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon |
| 2022 | IROS | Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. | Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone |
| 2021 | CoRL | Single-Shot Scene Reconstruction. | Sergey Zakharov, Rares Andrei Ambrus, Vitor Guizilini, Dennis Park, Wadim Kehl, Frdo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon |
| 2021 | CVPR | Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. | Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon |
| 2021 | CVPR | Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. | Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon |
| 2021 | CVPR | CoCon: Cooperative-Contrastive Learning. | Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles |
| 2021 | ICCV | Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. | Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon |
| 2021 | ICCV | Geometric Unsupervised Domain Adaptation for Semantic Segmentation. | Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon |
| 2021 | ICCV | Is Pseudo-Lidar needed for Monocular 3D Object detection? | Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon |
| 2021 | ICCV | Learning to Track with Object Permanence. | Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon |
| 2021 | ICLR | Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. | Kaidi Cao, Yining Chen, Junwei Lu, Nikos Archiga, Adrien Gaidon, Tengyu Ma |
| 2020 | CoRL | MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control. | Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone |
| 2020 | CoRL | Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation. | Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon |
| 2020 | CVPR | 3D Packing for Self-Supervised Monocular Depth Estimation. | Vitor Guizilini, Rares Ambrus, Sudeep Pillai, Allan Raventos, Adrien Gaidon |
| 2020 | CVPR | Real-Time Panoptic Segmentation From Dense Detections. | Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome P. Lynch, Adrien Gaidon |
| 2020 | CVPR | Spatio-Temporal Graph for Video Captioning With Knowledge Distillation. | Boxiao Pan, Haoye Cai, De-An Huang, Kuan-Hui Lee, Adrien Gaidon, Ehsan Adeli, Juan Carlos Niebles |
| 2020 | CVPR | Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors. | Sergey Zakharov, Wadim Kehl, Arjun Bhargava, Adrien Gaidon |
| 2020 | ECCV | Monocular Differentiable Rendering for Self-supervised 3D Object Detection. | Deniz Beker, Hiroharu Kato, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon |
| 2020 | ECCV | It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction. | Karttikeya Mangalam, Harshayu Girase, Shreyas Agarwal, Kuan-Hui Lee, Ehsan Adeli, Jitendra Malik, Adrien Gaidon |
| 2020 | ICLR | Semantically-Guided Representation Learning for Self-Supervised Monocular Depth. | Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon |
| 2020 | IROS | Driving Through Ghosts: Behavioral Cloning with False Positives. | Andreas Bhler, Adrien Gaidon, Andrei Cramariuc, Rares Ambrus, Guy Rosman, Wolfram Burgard |
| 2020 | IROS | PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving. | Kuan-Hui Lee, Matthew Kliemann, Adrien Gaidon, Jie Li, Chao Fang, Sudeep Pillai, Wolfram Burgard |
| 2020 | IROS | Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction. | Haruki Nishimura, Boris Ivanovic, Adrien Gaidon, Marco Pavone, Mac Schwager |
| 2020 | IROS | Behaviorally Diverse Traffic Simulation via Reinforcement Learning. | Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Ynocente Castro, Karim Hamzaoui, Guy Rosman, Jonathan A. DeCastro, Kuan-Hui Lee, Adrien Gaidon |
| 2020 | IROS | Game-Theoretic Planning for Risk-Aware Interactive Agents. | Mingyu Wang, Negar Mehr, Adrien Gaidon, Mac Schwager |
| 2020 | WACV | Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision. | Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles |
| 2019 | CoRL | Two Stream Networks for Self-Supervised Ego-Motion Estimation. | Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon |
| 2019 | CoRL | Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. | Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon |
| 2019 | CVPR | ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape. | Fabian Manhardt, Wadim Kehl, Adrien Gaidon |
| 2019 | ICCV | Exploring the Limitations of Behavior Cloning for Autonomous Driving. | Felipe Codevilla, Eder Santana, Antonio M. Lpez, Adrien Gaidon |
| 2019 | ICLR | SPIGAN: Privileged Adversarial Learning from Simulation. | Kuan-Hui Lee, Germn Ros, Jie Li, Adrien Gaidon |
| 2019 | ICRA | SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation. | Sudeep Pillai, Rares Ambrus, Adrien Gaidon |
| 2017 | CVPR | Procedural Generation of Videos to Train Deep Action Recognition Networks. | Csar Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel Lpez Pea |
| 2016 | CVPR | VirtualWorlds as Proxy for Multi-object Tracking Analysis. | Adrien Gaidon, Qiao Wang, Yohann Cabon, Eleonora Vig |
| 2016 | ECCV | Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition. | Csar Roberto de Souza, Adrien Gaidon, Eleonora Vig, Antonio Manuel Lpez Pea |
| 2015 | BMVC | Online Domain Adaptation for Multi-Object Tracking. | Adrien Gaidon, Eleonora Vig |
| 2015 | BMVC | Deep Fishing: Gradient Features from Deep Nets. | Albert Gordo, Adrien Gaidon, Florent Perronnin |
| 2015 | ICSOC | Extending Generic BPM with Computer Vision Capabilities. | Adrian Mos, Adrien Gaidon, Eleonora Vig |
| 2012 | BMVC | Recognizing activities with cluster-trees of tracklets. | Adrien Gaidon, Zad Harchaoui, Cordelia Schmid |
| 2011 | BMVC | A time series kernel for action recognition. | Adrien Gaidon, Zad Harchaoui, Cordelia Schmid |
| 2011 | CVPR | Actom sequence models for efficient action detection. | Adrien Gaidon, Zad Harchaoui, Cordelia Schmid |
| 2009 | BMVC | Mining Visual Actions from Movies. | Adrien Gaidon, Marcin Marszalek, Cordelia Schmid |