Adrien Gaidon

Koushil Sreenath

Proceedings of the Learning for Dynamics and Control Conference, 2023

Robust Self-Supervised Extrinsic Self-Calibration.

[BibT_eX]

[DOI]

IROS, 2023

Depth Is All You Need for Monocular 3D Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Neural Groundplans: Persistent Neural Scene Representations from a Single Image.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes.

[BibT_eX]

[DOI]

Muhammad Zubair Irshad

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DeLiRa: Self-Supervised Depth, Light, and Radiance Fields.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Zero-Shot Scale-Aware Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Breaking the "Object" in Video Object Segmentation.

[BibT_eX]

[DOI]

Pavel Tokmakov

Jie Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Multi-Object Manipulation via Object-Centric Neural Scattering Functions.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Object Discovery from Motion-Guided Tokens.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Viewpoint Equivariance for Multi-View 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning?

[BibT_eX]

[DOI]

Gunshi Gupta

Tim G. J. Rudner

Yarin Gal

Proceedings of the Conference on Causal Learning and Reasoning, 2023

2022

Full Surround Monodepth From Multiple Cameras.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Learning Optical Flow, Depth, and Scene Flow Without Real-World Labels.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Depth Field Networks for Generalizable Multi-view Scene Representation.

[BibT_eX]

[DOI]

CoRR, 2022

Seeing 3D Objects in a Single Image via Self-Supervised Static-Dynamic Disentanglement.

[BibT_eX]

[DOI]

CoRR, 2022

Dynamics-Aware Comparison of Learned Reward Functions.

[BibT_eX]

[DOI]

CoRR, 2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Control-Aware Prediction Objectives for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Self-Supervised Camera Self-Calibration from Video.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Object Permanence Emerges in a Random Walk along Memory.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Dynamics-Aware Comparison of Learned Reward Functions.

[BibT_eX]

[DOI]

Blake Wulfe

Logan Michael Ellis

Jean Mercat

Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-supervised Learning is More Robust to Dataset Imbalance.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Photo-realistic Neural Domain Randomization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

S2Net: Stochastic Sequential Pointcloud Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

ShAPO: Implicit Representations for Multi-object Shape, Appearance, and Pose Optimization.

[BibT_eX]

[DOI]

Muhammad Zubair Irshad

Proceedings of the Computer Vision - ECCV 2022, 2022

Depth Field Networks For Generalizable Multi-view Scene Representation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Multi-Frame Self-Supervised Depth with Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Revisiting the "Video" in Video-Language Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Discovering Objects that Can Move.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ROAD: Learning an Implicit Recursive Octree Auto-Decoder to Efficiently Encode 3D Shapes.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

RAP: Risk-Aware Prediction for Robust Planning.

[BibT_eX]

[DOI]

Haruki Nishimura

Jean Mercat

Blake Wulfe

Vitor Campanholo Guizilini

Proceedings of the Conference on Robot Learning, 2022

Representation Learning for Object Detection from Unlabeled Point Cloud Sequences.

[BibT_eX]

[DOI]

Xiangru Huang

Yue Wang

Rares Andrei Ambrus

Justin M. Solomon

Proceedings of the Conference on Robot Learning, 2022

2021

RAT iLQR: A Risk Auto-Tuning Controller to Optimally Account for Stochastic Model Mismatch.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Monocular Depth Estimation for Soft Visuotactile Sensors.

[BibT_eX]

[DOI]

Proceedings of the 4th IEEE International Conference on Soft Robotics, 2021

Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Learning to Track with Object Permanence.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Is Pseudo-Lidar needed for Monocular 3D Object detection?

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Geometric Unsupervised Domain Adaptation for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CoCon: Cooperative-Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Single-Shot Scene Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models.

[BibT_eX]

[DOI]

César Roberto de Souza

Int. J. Comput. Vis., 2020

Differentiable Rendering: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

Disentangling Human Dynamics for Pedestrian Locomotion Forecasting with Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Discovering Avoidable Planner Failures of Autonomous Vehicles using Counterfactual Analysis in Behaviorally Diverse Simulation.

[BibT_eX]

[DOI]

Daisuke Nishiyama

Mario Ynocente Castro

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Game-Theoretic Planning for Risk-Aware Interactive Agents.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Behaviorally Diverse Traffic Simulation via Reinforcement Learning.

[BibT_eX]

[DOI]

Shinya Shiroshita

Shirou Maruyama

Daisuke Nishiyama

Mario Ynocente Castro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Driving Through Ghosts: Behavioral Cloning with False Positives.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

It Is Not the Journey But the Destination: Endpoint Conditioned Trajectory Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Monocular Differentiable Rendering for Self-supervised 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Spatio-Temporal Graph for Video Captioning With Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Real-Time Panoptic Segmentation From Dense Detections.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D Packing for Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Self-Supervised 3D Keypoint Learning for Ego-Motion Estimation.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

MATS: An Interpretable Trajectory Forecasting Representation for Planning and Control.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Self-Supervised 3D Keypoint Learning for Ego-motion Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

PackNet-SfM: 3D Packing for Self-Supervised Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2019

Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

An Attention-based Recurrent Convolutional Network for Vehicle Taillight Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation.

[BibT_eX]

[DOI]

Sudeep Pillai

Rares Ambrus

Proceedings of the International Conference on Robotics and Automation, 2019

SPIGAN: Privileged Adversarial Learning from Simulation.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Exploring the Limitations of Behavior Cloning for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape.

[BibT_eX]

[DOI]

Fabian Manhardt

Wadim Kehl

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Two Stream Networks for Self-Supervised Ego-Motion Estimation.

[BibT_eX]

[DOI]

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

The Reasonable Effectiveness of Synthetic Visual Data.

[BibT_eX]

[DOI]

Antonio M. López

Florent Perronnin

Int. J. Comput. Vis., 2018

Learning to Fuse Things and Stuff.

[BibT_eX]

[DOI]

CoRR, 2018

2017

Procedural Generation of Videos to Train Deep Action Recognition Networks.

[BibT_eX]

[DOI]

César Roberto de Souza

Antonio Manuel López Peña

Yohann Cabon

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Virtual Worlds as Proxy for Multi-Object Tracking Analysis.

[BibT_eX]

[DOI]

CoRR, 2016

Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition.

[BibT_eX]

[DOI]

César Roberto de Souza

Antonio Manuel López Peña

Eleonora Vig

Proceedings of the Computer Vision - ECCV 2016, 2016

VirtualWorlds as Proxy for Multi-object Tracking Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Accelerating Stochastic Gradient Descent via Online Learning to Sample.

[BibT_eX]

[DOI]

CoRR, 2015

Extending Generic BPM with Computer Vision Capabilities.

[BibT_eX]

[DOI]

Adrian Mos

Eleonora Vig

Proceedings of the Service-Oriented Computing - ICSOC 2015 Workshops, 2015

Deep Fishing: Gradient Features from Deep Nets.

[BibT_eX]

[DOI]

Albert Gordo

Florent Perronnin

Proceedings of the British Machine Vision Conference 2015, 2015

Online Domain Adaptation for Multi-Object Tracking.

[BibT_eX]

[DOI]

Eleonora Vig

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Activity representation with motion hierarchies.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2014

Self-Learning Camera: Autonomous Adaptation of Object Detectors to Unlabeled Video Streams.

[BibT_eX]

[DOI]

José A. Rodríguez-Serrano

Gloria Zen

CoRR, 2014

2013

Temporal Localization of Actions with Actoms.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Automatic Recognition of Human Activities in Realistic Videos.

[BibT_eX]

[DOI]

ERCIM News, 2013

2012

Recognizing activities with cluster-trees of tracklets.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2011

Actom sequence models for efficient action detection.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

A time series kernel for action recognition.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2011

2009

Mining Visual Actions from Movies.

[BibT_eX]

[DOI]

Marcin Marszalek