Adrien Gaidon
54 papers · 2016–2024 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (68) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(17)
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Topic Evolution
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Deep Specialist
(14)
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Prolific
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Conference Pioneer
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Century Club Β· Silver
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Trend Setter
ποΈ
Keyword Collector
(197)
Venues
Top co-authors
Research topics
Computer Vision
(33)
Machine Learning
(31)
Analysis
(26)
Learning Types Β· Machine Learning
(23)
Deep Learning
(18)
Artificial Intelligence
(12)
Core AI
(12)
Learning Types Β· Deep Learning
(12)
Application Areas
(9)
Architectures
(8)
Core Methods
(8)
Domain-Specific
(8)
Processing
(8)
Reinforcement Learning
(5)
Generation
(4)
Keywords
self-supervised learning
(15)
depth estimation
(10)
semantic segmentation
(8)
representation learning
(6)
3d object detection
(5)
object detection
(5)
monocular depth estimation
(4)
monocular depth
(4)
novel view synthesis
(4)
3d reconstruction
(3)
instance segmentation
(3)
autonomous driving
(3)
synthetic data
(3)
differentiable rendering
(3)
video understanding
(2)
unsupervised domain adaptation
(2)
semi-supervised learning
(2)
transformer architecture
(2)
point cloud
(2)
imitation learning
(2)
Papers
NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields
ECCV 2024
Streaming Detection of Queried Event Start
NeurIPS 2024
Understanding Video Transformers via Universal Concept Discovery
CVPR 2024
Zero-Shot Multi-Object Scene Completion
ECCV 2024
Breaking the "Object" in Video Object Segmentation
CVPR 2023
Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?
CLeaR 2023
DeLiRa: Self-Supervised Depth, Light, and Radiance Fields
ICCV 2023
In-Distribution Barrier Functions: Self-Supervised Policy Filters that Avoid Out-of-Distribution States
L4DC 2023
Multi-Object Manipulation via Object-Centric Neural Scattering Functions
CVPR 2023
NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
ICCV 2023
Neural Groundplans: Persistent Neural Scene Representations from a Single Image
ICLR 2023
Object Discovery From Motion-Guided Tokens
CVPR 2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
ICCV 2023
Viewpoint Equivariance for Multi-View 3D Object Detection
CVPR 2023
Depth Field Networks for Generalizable Multi-View Scene Representation
ECCV 2022
Discovering Objects That Can Move
CVPR 2022
Dynamics-Aware Comparison of Learned Reward Functions
ICLR 2022
Multi-Frame Self-Supervised Depth With Transformers
CVPR 2022
Object Permanence Emerges in a Random Walk along Memory
ICML 2022
Photo-Realistic Neural Domain Randomization
ECCV 2022
RAP: Risk-Aware Prediction for Robust Planning
CoRL 2022
Representation Learning for Object Detection from Unlabeled Point Cloud Sequences
CoRL 2022
Revisiting the "Video" in Video-Language Understanding
CVPR 2022
ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes
CoRL 2022
S2Net: Stochastic Sequential Pointcloud Forecasting
ECCV 2022
Self-supervised Learning is More Robust to Dataset Imbalance
ICLR 2022
"ShAPO: Implicit Representations for Multi-Object Shape, Appearance, and Pose Optimization"
ECCV 2022
Geometric Unsupervised Domain Adaptation for Semantic Segmentation
ICCV 2021
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
ICLR 2021
Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation
CVPR 2021
Is Pseudo-Lidar Needed for Monocular 3D Object Detection?
ICCV 2021
Learning To Track With Object Permanence
ICCV 2021
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
NeurIPS 2021
Single-Shot Scene Reconstruction
CoRL 2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
CVPR 2021
Warp-Refine Propagation: Semi-Supervised Auto-Labeling via Cycle-Consistency
ICCV 2021
3D Packing for Self-Supervised Monocular Depth Estimation
CVPR 2020
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors
CVPR 2020
Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision
WACV 2020
It is not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction
ECCV 2020
MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control
CoRL 2020
Monocular Differentiable Rendering for Self-Supervised 3D Object Detection
ECCV 2020
Real-Time Panoptic Segmentation From Dense Detections
CVPR 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving
RSS 2020
Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation
CoRL 2020
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
ICLR 2020
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
CVPR 2020
Exploring the Limitations of Behavior Cloning for Autonomous Driving
ICCV 2019
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss
NeurIPS 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