Katerina Fragkiadaki

According to our database1, Katerina Fragkiadaki authored at least 81 papers between 2010 and 2024.

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Bibliography

2024
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.
CoRR, 2024

Video Diffusion Alignment via Reward Gradients.
CoRR, 2024

ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights.
CoRR, 2024

DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos.
CoRR, 2024

HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models.
CoRR, 2024

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving.
CoRR, 2024

3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.
CoRR, 2024

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following.
CoRR, 2024

ODIN: A Single Model for 2D and 3D Perception.
CoRR, 2024

Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ODIN: A Single Model for 2D and 3D Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback.
CoRR, 2023

Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation.
CoRR, 2023

Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement.
CoRR, 2023

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simple-BEV: What Really Matters for Multi-Sensor BEV Perception?
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Test-time Adaptation with Slot-Centric Models.
Proceedings of the International Conference on Machine Learning, 2023

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analogy-Forming Transformers for Few-Shot 3D Parsing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 2023

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 2023

2022
A Simple Baseline for BEV Perception Without LiDAR.
CoRR, 2022

Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories.
CoRR, 2022

Generating Fast and Slow: Scene Decomposition via Reconstruction.
CoRR, 2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.
Proceedings of the Computer Vision - ECCV 2022, 2022

Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds.
Proceedings of the Computer Vision - ECCV 2022, 2022

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories.
Proceedings of the Computer Vision - ECCV 2022, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.
Proceedings of the Conference on Robot Learning, 2022

2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks.
Proceedings of the 9th International Conference on Learning Representations, 2021

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning.
Proceedings of the 9th International Conference on Learning Representations, 2021

CoCoNets: Continuous Contrastive 3D Scene Representations.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Track, Check, Repeat: An EM Approach to Unsupervised Tracking.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Move to See Better: Self-Improving Embodied Object Detection.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Move to See Better: Towards Self-Supervised Amodal Object Detection.
CoRR, 2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.
CoRR, 2020

3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations.
CoRR, 2020

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping.
Proceedings of the 8th International Conference on Learning Representations, 2020

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping.
Proceedings of the Computer Vision - ECCV 2020, 2020

Embodied Language Grounding With 3D Visual Feature Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Epipolar Transformer for Multi-view Human Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Embodied Language Grounding with Implicit 3D Visual Feature Representations.
CoRR, 2019

Embodied View-Contrastive 3D Feature Learning.
CoRR, 2019

Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Graph-Structured Visual Imitation.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Model Learning for Look-Ahead Exploration in Continuous Control.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.
CoRR, 2018

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation.
Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Reward Learning From Narrated Demonstrations.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
SfM-Net: Learning of Structure and Motion from Video.
CoRR, 2017

Motion Prediction Under Multimodality with Conditional Stochastic Networks.
CoRR, 2017

Self-supervised Learning of Motion Capture.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Depth-Adaptive Computational Policies for Efficient Visual Tracking.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
The three R's of computer vision: Recognition, reconstruction and reorganization.
Pattern Recognit. Lett., 2016

Learning Visual Predictive Models of Physics for Playing Billiards.
Proceedings of the 4th International Conference on Learning Representations, 2016

Human Pose Estimation with Iterative Error Feedback.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Recurrent Network Models for Kinematic Tracking.
CoRR, 2015

Recurrent Network Models for Human Dynamics.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to segment moving objects in videos.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Spatio-Temporal Moving Object Proposals.
CoRR, 2014

Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Pose from Flow and Flow from Pose.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Structural-Flow Trajectories for Unravelling 3D Tubular Bundles.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions.
Proceedings of the Computer Vision - ECCV 2012, 2012

Video segmentation by tracing discontinuities in a trajectory embedding.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects.
Proceedings of the Computer Vision - ECCV 2010, 2010


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