Gaidon, Adrien

54 publications

ECCV 2024 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

NeurIPS 2024 Streaming Detection of Queried Event Start Cristóbal Eyzaguirre, Eric Tang, Shyamal Buch, Adrien Gaidon, Jiajun Wu, Juan Carlos Niebles

CVPR 2024 Understanding Video Transformers via Universal Concept Discovery Matthew Kowal, Achal Dave, Rares Ambrus, Adrien Gaidon, Konstantinos G. Derpanis, Pavel Tokmakov

ECCV 2024 Zero-Shot Multi-Object Scene Completion Shun Iwase, Katherine Liu, Vitor Guizilini, Adrien Gaidon, Kris Kitani, Rareș A Ambruș, Sergey Zakharov

CVPR 2023 Breaking the "Object" in Video Object Segmentation Pavel Tokmakov, Jie Li, Adrien Gaidon

CLeaR 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal

ICCV 2023 DeLiRa: Self-Supervised Depth, Light, and Radiance Fields Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon

L4DC 2023 In-Distribution Barrier Functions: Self-Supervised Policy Filters That Avoid Out-of-Distribution States Fernando Castañeda, Haruki Nishimura, Rowan Thomas McAllister, Koushil Sreenath, Adrien Gaidon

CVPR 2023 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

ICCV 2023 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

ICLR 2023 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, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann

CVPR 2023 Object Discovery from Motion-Guided Tokens Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

ICCV 2023 Towards Zero-Shot Scale-Aware Monocular Depth Estimation Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rareș Ambruș, Adrien Gaidon

CVPR 2023 Viewpoint Equivariance for Multi-View 3D Object Detection Dian Chen, Jie Li, Vitor Guizilini, Rares Andrei Ambrus, Adrien Gaidon

NeurIPSW 2022 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal

NeurIPSW 2022 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal

NeurIPSW 2022 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? Gunshi Gupta, Tim G. J. Rudner, Rowan Thomas McAllister, Adrien Gaidon, Yarin Gal

ECCV 2022 Depth Field Networks for Generalizable Multi-View Scene Representation Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rareș Ambruș, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon

CVPR 2022 Discovering Objects That Can Move Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert

ICLR 2022 Dynamics-Aware Comparison of Learned Reward Functions Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon

CVPR 2022 Multi-Frame Self-Supervised Depth with Transformers Vitor Guizilini, Rareș Ambruș, Dian Chen, Sergey Zakharov, Adrien Gaidon

ICML 2022 Object Permanence Emerges in a Random Walk Along Memory Pavel Tokmakov, Allan Jabri, Jie Li, Adrien Gaidon

ECCV 2022 Photo-Realistic Neural Domain Randomization Sergey Zakharov, Rareș Ambruș, Vitor Guizilini, Wadim Kehl, Adrien Gaidon

CoRL 2022 RAP: Risk-Aware Prediction for Robust Planning Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon

CoRL 2022 ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes Sergey Zakharov, Rares Andrei Ambrus, Katherine Liu, Adrien Gaidon

CoRL 2022 Representation Learning for Object Detection from Unlabeled Point Cloud Sequences Xiangru Huang, Yue Wang, Vitor Campagnolo Guizilini, Rares Andrei Ambrus, Adrien Gaidon, Justin Solomon

CVPR 2022 Revisiting the "Video" in Video-Language Understanding Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles

ECCV 2022 S2Net: Stochastic Sequential Pointcloud Forecasting Xinshuo Weng, Junyu Nan, Kuan-Hui Lee, Rowan McAllister, Adrien Gaidon, Nicholas Rhinehart, Kris M. Kitani

ICLR 2022 Self-Supervised Learning Is More Robust to Dataset Imbalance Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma

ECCV 2022 ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization Muhammad Zubair Irshad, Sergey Zakharov, Rareș Ambruș, Thomas Kollar, Zsolt Kira, Adrien Gaidon

CVPRW 2021 CoCon: Cooperative-Contrastive Learning Nishant Rai, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles

ICCV 2021 Geometric Unsupervised Domain Adaptation for Semantic Segmentation Vitor Guizilini, Jie Li, Rareș Ambruș, Adrien Gaidon

ICLR 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

CVPR 2021 Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon

ICCV 2021 Is Pseudo-LiDAR Needed for Monocular 3D Object Detection? Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon

ICCV 2021 Learning to Track with Object Permanence Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon

NeurIPS 2021 Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma

NeurIPSW 2021 Self-Supervised Learning Is More Robust to Dataset Imbalance Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma

CoRL 2021 Single-Shot Scene Reconstruction Sergey Zakharov, Rares Andrei Ambrus, Vitor Campagnolo Guizilini, Dennis Park, Wadim Kehl, Fredo Durand, Joshua B. Tenenbaum, Vincent Sitzmann, Jiajun Wu, Adrien Gaidon

CVPR 2021 Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon

ICCV 2021 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

WACV 2020 Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision Karttikeya Mangalam, Ehsan Adeli, Kuan-Hui Lee, Adrien Gaidon, Juan Carlos Niebles

ECCV 2020 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

CoRL 2020 MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control Boris Ivanovic, Amine Elhafsi, Guy Rosman, Adrien Gaidon, Marco Pavone

ECCV 2020 Monocular Differentiable Rendering for Self-Supervised 3D Object Detection Deniz Beker, Hiroharu Kato, Mihai Adrian Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon

CoRL 2020 Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation Jiexiong Tang, Rares Ambrus, Vitor Guizilini, Sudeep Pillai, Hanme Kim, Patric Jensfelt, Adrien Gaidon

ICLR 2020 Semantically-Guided Representation Learning for Self-Supervised Monocular Depth Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

NeurIPS 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma

CoRL 2019 Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon

ICLR 2019 SPIGAN: Privileged Adversarial Learning from Simulation Kuan-Hui Lee, German Ros, Jie Li, Adrien Gaidon

CVPR 2017 Procedural Generation of Videos to Train Deep Action Recognition Networks Cesar Roberto de Souza, Adrien Gaidon, Yohann Cabon, Antonio Manuel Lopez

ECCV 2016 Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition César Roberto de Souza, Adrien Gaidon, Eleonora Vig, Antonio Manuel López Peña

CVPR 2016 Virtual Worlds as Proxy for Multi-Object Tracking Analysis Adrien Gaidon, Qiao Wang, Yohann Cabon, Eleonora Vig

CVPR 2011 Actom Sequence Models for Efficient Action Detection Adrien Gaidon, Zaïd Harchaoui, Cordelia Schmid