Katerina Fragkiadaki
46 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (10)
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Conference Polyglot
(10)
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Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(77)
π¬
Deep Specialist
(10)
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Grand Slam
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Keyword Champion
(2)
π€
Dynamic Duo
(11)
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Triple Crown
ποΈ
Keyword Collector
(205)
β‘
Prolific Year
(5)
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Conference Pioneer
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Trend Setter
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Century Club
(46)
π₯
Unstoppable
(13)
Conferences
CVPR (13)
CORL (8)
NIPS (7)
ICLR (5)
ECCV (4)
ICCV (3)
ICML (3)
AAAI (1)
EMNLP (1)
RSS (1)
Top co-authors
Keywords
3d reconstruction
(5)
self-supervised learning
(4)
human pose estimation
(4)
robot manipulation
(4)
reinforcement learning
(3)
optical flow
(3)
recurrent neural network
(3)
object detection
(3)
generative model
(2)
occlusion handling
(2)
diffusion model
(2)
robotic manipulation
(2)
scene understanding
(2)
object tracking
(2)
language grounding
(2)
depth estimation
(2)
test-time adaptation
(2)
transformer architecture
(2)
in-context learning
(2)
motion capture
(2)
Papers
Unifying 2D and 3D Vision-Language Understanding
ICML 2025
Robust Multi-Object 4D Generation for In-the-wild Videos
CVPR 2025
Video Depth without Video Models
CVPR 2025
AllTracker: Efficient Dense Point Tracking at High Resolution
ICCV 2025
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation
ICML 2024
ODIN: A Single Model for 2D and 3D Segmentation
CVPR 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving
CVPR 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
NIPS 2024
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos
NIPS 2024
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations
CORL 2024
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
ICLR 2023
Test-time Adaptation with Slot-Centric Models
ICML 2023
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models
EMNLP 2023
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images
NIPS 2023
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement
RSS 2023
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation
CORL 2023
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
CORL 2023
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback
NIPS 2023
Analogy-Forming Transformers for Few-Shot 3D Parsing
ICLR 2023
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation
CORL 2022
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors
ECCV 2022
Bottom Up Top down Detection Transformers for Language Grounding in Images and Point Clouds
ECCV 2022
Particle Video Revisited: Tracking through Occlusions Using Point Trajectories
ECCV 2022
CoCoNets: Continuous Contrastive 3D Scene Representations
CVPR 2021
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views
CORL 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
CVPR 2021
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
ICLR 2021
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
ICLR 2021
Epipolar Transformers
CVPR 2020
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
ECCV 2020
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping
ICLR 2020
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators
CORL 2020
Embodied Language Grounding With 3D Visual Feature Representations
CVPR 2020
Graph-Structured Visual Imitation
CORL 2019
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks
CVPR 2019
Model Learning for Look-Ahead Exploration in Continuous Control
AAAI 2019
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions
CORL 2018
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition
NIPS 2018
Reward Learning From Narrated Demonstrations
CVPR 2018
Self-supervised Learning of Motion Capture
NIPS 2017
Adversarial Inverse Graphics Networks: Learning 2D-To-3D Lifting and Image-To-Image Translation From Unpaired Supervision
ICCV 2017
Human Pose Estimation With Iterative Error Feedback
CVPR 2016
Recurrent Network Models for Human Dynamics
ICCV 2015
Learning to Segment Moving Objects in Videos
CVPR 2015
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction
NIPS 2014
Pose from Flow and Flow from Pose
CVPR 2013