← Authors

Adrien Gaidon

54 papers · 2016–2024 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (8) 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (70) 🀝 Dynamic Duo (17) πŸ”¬ Deep Specialist (10) ⚑ Prolific Year (13) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (6) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (172) πŸ’Ž Century Club (54) ❓ The Questioner (2)

Conferences

CVPR (17) ECCV (8) ICCV (8) CORL (7) ICLR (6) NIPS (3) CLEAR (1) ICML (1) L4DC (1) RSS (1) WACV (1)

Top co-authors

Vitor Guizilini (17) Rares Ambrus (17) Sergey Zakharov (12) Jie Li (11) Pavel Tokmakov (6) Kuan-Hui Lee (5) Rares Andrei Ambrus (5) Wadim Kehl (5) Rowan Thomas McAllister (4) Katherine Liu (4)

Keywords

self-supervised learning (12) depth estimation (9) semantic segmentation (6) 3d object detection (5) representation learning (4) object detection (4) monocular depth estimation (4) instance segmentation (3) 3d reconstruction (3) autonomous driving (3) novel view synthesis (3) monocular depth (3) video understanding (2) semi-supervised learning (2) trajectory forecasting (2) transformer architecture (2) point cloud (2) imitation learning (2) data augmentation (2) scene understanding (2)

Papers

Streaming Detection of Queried Event Start NIPS 2024
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields ECCV 2024
Zero-Shot Multi-Object Scene Completion ECCV 2024
Understanding Video Transformers via Universal Concept Discovery CVPR 2024
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes ICCV 2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields ICCV 2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation ICCV 2023
Breaking the "Object" in Video Object Segmentation CVPR 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image ICLR 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLEAR 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States L4DC 2023
Object Discovery From Motion-Guided Tokens CVPR 2023
Viewpoint Equivariance for Multi-View 3D Object Detection CVPR 2023
Multi-Object Manipulation via Object-Centric Neural Scattering Functions CVPR 2023
Dynamics-Aware Comparison of Learned Reward Functions ICLR 2022
RAP: Risk-Aware Prediction for Robust Planning CORL 2022
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences CORL 2022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes CORL 2022
Discovering Objects That Can Move CVPR 2022
Multi-Frame Self-Supervised Depth With Transformers CVPR 2022
Revisiting the "Video" in Video-Language Understanding CVPR 2022
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization" ECCV 2022
Photo-Realistic Neural Domain Randomization ECCV 2022
S2Net: Stochastic Sequential Pointcloud Forecasting ECCV 2022
Depth Field Networks for Generalizable Multi-View Scene Representation ECCV 2022
Self-supervised Learning is More Robust to Dataset Imbalance ICLR 2022
Object Permanence Emerges in a Random Walk along Memory ICML 2022
Single-Shot Scene Reconstruction CORL 2021
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency ICCV 2021
Geometric Unsupervised Domain Adaptation for Semantic Segmentation ICCV 2021
Learning To Track With Object Permanence ICCV 2021
Is Pseudo-Lidar Needed for Monocular 3D Object Detection? ICCV 2021
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization ICLR 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss NIPS 2021
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation CVPR 2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion CVPR 2021
3D Packing for Self-Supervised Monocular Depth Estimation CVPR 2020
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction ECCV 2020
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection ECCV 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving RSS 2020
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision WACV 2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control CORL 2020
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation CORL 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth ICLR 2020
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors CVPR 2020
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation CVPR 2020
Real-Time Panoptic Segmentation From Dense Detections CVPR 2020
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss NIPS 2019
Exploring the Limitations of Behavior Cloning for Autonomous Driving ICCV 2019
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances CORL 2019
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape CVPR 2019
SPIGAN: Privileged Adversarial Learning from Simulation ICLR 2019
Procedural Generation of Videos to Train Deep Action Recognition Networks CVPR 2017
Virtual Worlds as Proxy for Multi-Object Tracking Analysis CVPR 2016