Katerina Fragkiadaki

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models.

[BibT_eX]

[DOI]

Pushkal Katara

Zhou Xian

CoRR, 2023

Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models.

[BibT_eX]

[DOI]

CoRR, 2023

Aligning Text-to-Image Diffusion Models with Reward Backpropagation.

[BibT_eX]

[DOI]

CoRR, 2023

Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Christopher G. Atkeson

CoRR, 2023

Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement.

[BibT_eX]

[DOI]

Christopher G. Atkeson

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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?

[BibT_eX]

[DOI]

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

Test-time Adaptation with Slot-Centric Models.

[BibT_eX]

[DOI]

Mihir Prabhudesai

Anirudh Goyal

Sujoy Paul

Sjoerd van Steenkiste

Proceedings of the International Conference on Machine Learning, 2023

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Analogy-Forming Transformers for Few-Shot 3D Parsing.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

2022

A Simple Baseline for BEV Perception Without LiDAR.

[BibT_eX]

[DOI]

CoRR, 2022

Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories.

[BibT_eX]

[DOI]

Zhaoyuan Fang

CoRR, 2022

Generating Fast and Slow: Scene Decomposition via Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories.

[BibT_eX]

[DOI]

Zhaoyuan Fang

Emmanouil Antonios Platanios

Proceedings of the Computer Vision - ECCV 2022, 2022

Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks.

[BibT_eX]

[DOI]

Zhou Xian

Shamit Lal

Hsiao-Yu Tung

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

Disentangling 3D Prototypical Networks for Few-Shot Concept Learning.

[BibT_eX]

[DOI]

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

CoCoNets: Continuous Contrastive 3D Scene Representations.

[BibT_eX]

[DOI]

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

Track, Check, Repeat: An EM Approach to Unsupervised Tracking.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Christopher G. Atkeson

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

Move to See Better: Self-Improving Embodied Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping.

[BibT_eX]

[DOI]

Shrinidhi Kowshika Lakshmikanth

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

Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping.

[BibT_eX]

[DOI]

Shrinidhi Kowshika Lakshmikanth

Paul Schydlo

Proceedings of the Computer Vision - ECCV 2020, 2020

Embodied Language Grounding With 3D Visual Feature Representations.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Epipolar Transformers.

[BibT_eX]

[DOI]

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

Epipolar Transformer for Multi-view Human Pose Estimation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Embodied Language Grounding with Implicit 3D Visual Feature Representations.

[BibT_eX]

[DOI]

CoRR, 2019

Embodied View-Contrastive 3D Feature Learning.

[BibT_eX]

[DOI]

Shrinidhi Kowshika Lakshmikanth

Fangyu Li

Xian Zhou

Hsiao-Yu Fish Tung

CoRR, 2019

Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation.

[BibT_eX]

[DOI]

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

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks.

[BibT_eX]

[DOI]

Hsiao-Yu Fish Tung

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

Graph-Structured Visual Imitation.

[BibT_eX]

[DOI]

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

Model Learning for Look-Ahead Exploration in Continuous Control.

[BibT_eX]

[DOI]

Arpit Agarwal

Katharina Muelling

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reinforcement Learning of Active Vision forManipulating Objects under Occlusions.

[BibT_eX]

[DOI]

Arpit Agarwal

CoRR, 2018

Geometry-Aware Recurrent Neural Networks for Active Visual Recognition.

[BibT_eX]

[DOI]

Ziyan Wang

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.

[BibT_eX]

[DOI]

Maximilian Sieb

Proceedings of the 18th IEEE-RAS International Conference on Humanoid Robots, 2018

Reward Learning From Narrated Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions.

[BibT_eX]

[DOI]

Arpit Agarwal

Sudheendra Vijayanarasimhan

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

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

[BibT_eX]

[DOI]

CoRR, 2017

Motion Prediction Under Multimodality with Conditional Stochastic Networks.

[BibT_eX]

[DOI]

Sudheendra Vijayanarasimhan

Jonathan Huang

Alex Alemi

Susanna Ricco

Rahul Sukthankar

CoRR, 2017

Self-supervised Learning of Motion Capture.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

Depth-Adaptive Computational Policies for Efficient Visual Tracking.

[BibT_eX]

[DOI]

Chris Ying

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.

[BibT_eX]

[DOI]

Pablo Andrés Arbeláez

Pattern Recognit. Lett., 2016

Learning Visual Predictive Models of Physics for Playing Billiards.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

Human Pose Estimation with Iterative Error Feedback.

[BibT_eX]

[DOI]

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

2015

Recurrent Network Models for Kinematic Tracking.

[BibT_eX]

[DOI]

Sergey Levine

CoRR, 2015

Recurrent Network Models for Human Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to segment moving objects in videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Spatio-Temporal Moving Object Proposals.

[BibT_eX]

[DOI]

Pablo Andrés Arbeláez

Panna Felsen

CoRR, 2014

Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction.

[BibT_eX]

[DOI]

Marta Salas

Pablo Andrés Arbeláez

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.

[BibT_eX]

[DOI]

Han Hu

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Structural-Flow Trajectories for Unravelling 3D Tubular Bundles.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Video segmentation by tracing discontinuities in a trajectory embedding.

[BibT_eX]

[DOI]

Geng Zhang

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.

[BibT_eX]

[DOI]

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

2010

Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects.

[BibT_eX]

[DOI]