Fragkiadaki, Katerina

57 publications

ICCV 2025 AllTracker: Efficient Dense Point Tracking at High Resolution Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas Guibas

NeurIPS 2025 Diffusion Beats Autoregressive in Data-Constrained Settings Mihir Prabhudesai, Mengning Wu, Amir Zadeh, Katerina Fragkiadaki, Deepak Pathak

NeurIPS 2025 Grounded Reinforcement Learning for Visual Reasoning Gabriel Herbert Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki

NeurIPS 2025 PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers Yuchen Lin, Chenguo Lin, Panwang Pan, Honglei Yan, Feng Yiqiang, Yadong Mu, Katerina Fragkiadaki

CVPR 2025 Robust Multi-Object 4D Generation for In-the-Wild Videos Wen-Hsuan Chu, Lei Ke, Jianmeng Liu, Mingxiao Huo, Pavel Tokmakov, Katerina Fragkiadaki

NeurIPS 2025 TAPIP3D: Tracking Any Point in Persistent 3D Geometry Bowei Zhang, Lei Ke, Adam W Harley, Katerina Fragkiadaki

ICML 2025 Unifying 2D and 3D Vision-Language Understanding Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki

CVPR 2025 Video Depth Without Video Models Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler

CoRL 2024 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki

CVPR 2024 Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki

NeurIPS 2024 DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki

ICLRW 2024 HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models Gabriel Herbert Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki

CVPR 2024 ODIN: A Single Model for 2D and 3D Segmentation Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki

ICML 2024 RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan

NeurIPS 2024 VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki

CoRL 2023 Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation Theophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki

ICLR 2023 Analogy-Forming Transformers for Few-Shot 3D Parsing Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki

NeurIPS 2023 Brain Dissection: fMRI-Trained Networks Reveal Spatial Selectivity in the Processing of Natural Images Gabriel Sarch, Michael Tarr, Katerina Fragkiadaki, Leila Wehbe

CoRL 2023 ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation Zhou Xian, Nikolaos Gkanatsios, Theophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki

NeurIPS 2023 Diffusion-TTA: Test-Time Adaptation of Discriminative Models via Generative Feedback Mihir Prabhudesai, Tsung-Wei Ke, Alex Li, Deepak Pathak, Katerina Fragkiadaki

ICLR 2023 FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan

ICMLW 2023 Test-Time Adaptation with Diffusion Models Mihir Prabhudesai, Tsung-Wei Ke, Alexander Cong Li, Deepak Pathak, Katerina Fragkiadaki

ICML 2023 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

ECCV 2022 Bottom up Top Down Detection Transformers for Language Grounding in Images and Point Clouds Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki

ECCV 2022 Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki

CoRL 2022 Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held

ECCV 2022 TIDEE: Tidying up Novel Rooms Using Visuo-Semantic Commonsense Priors Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

CVPR 2021 CoCoNets: Continuous Contrastive 3D Scene Representations Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki

ICLR 2021 Disentangling 3D Prototypical Networks for Few-Shot Concept Learning Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W Harley, Katerina Fragkiadaki

ICLR 2021 HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki

CVPR 2021 Track, Check, Repeat: An EM Approach to Unsupervised Tracking Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki

CoRL 2021 Visually-Grounded Library of Behaviors for Manipulating Diverse Objects Across Diverse Configurations and Views Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G Atkeson, Katerina Fragkiadaki

CoRL 2020 3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki

CVPRW 2020 3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki

CVPRW 2020 Epipolar Transformer for Multi-View Human Pose Estimation Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu

ICLR 2020 Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping Adam W. Harley, Shrinidhi K. Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki

ECCV 2020 Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki

CoRL 2019 Graph-Structured Visual Imitation Maximilian Sieb, Zhou Xian, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki

ICCVW 2019 Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki

ICLRW 2019 Learning Spatial Common Sense with Geometry-Aware Recurrent Networks Hsiao-Yu Tung, Ricson Cheng, Katerina Fragkiadaki

AAAI 2019 Model Learning for Look-Ahead Exploration in Continuous Control Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki

NeurIPS 2018 Geometry-Aware Recurrent Neural Networks for Active Visual Recognition Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki

CoRL 2018 Reinforcement Learning of Active Vision for Manipulating Objects Under Occlusions Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki

ICCV 2017 Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki

NeurIPS 2017 Self-Supervised Learning of Motion Capture Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki

CVPR 2016 Human Pose Estimation with Iterative Error Feedback Joao Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik

ICLR 2016 Learning Visual Predictive Models of Physics for Playing Billiards Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, Jitendra Malik

CVPR 2015 Learning to Segment Moving Objects in Videos Katerina Fragkiadaki, Pablo Arbelaez, Panna Felsen, Jitendra Malik

ICCV 2015 Recurrent Network Models for Human Dynamics Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik

NeurIPS 2014 Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction Katerina Fragkiadaki, Marta Salas, Pablo Arbelaez, Jitendra Malik

CVPR 2013 Pose from Flow and Flow from Pose Katerina Fragkiadaki, Han Hu, Jianbo Shi

ECCV 2012 Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking Under Occlusions Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, Jianbo Shi

CVPR 2012 Video Segmentation by Tracing Discontinuities in a Trajectory Embedding Katerina Fragkiadaki, Geng Zhang, Jianbo Shi

CVPR 2011 Detection Free Tracking: Exploiting Motion and Topology for Segmenting and Tracking Under Entanglement Katerina Fragkiadaki, Jianbo Shi

ECCV 2010 Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects Katerina Fragkiadaki, Jianbo Shi