Katerina Fragkiadaki

130 papers A* 36A 1Misc 8Journal 69Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Deep Generative Models for Robot Learning From Multimodal Demonstrations. IEEE Trans. Robotics Julen Urain, Ajay Mandlekar, Yilun Du, Nur Muhammad (Mahi) Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters
2026	J	`jnl`	Dex4D: Task-Agnostic Point Track Policy for Sim-to-Real Dexterous Manipulation. CoRR Yuxuan Kuang, Sungjae Park, Katerina Fragkiadaki, Shubham Tulsiani
2026	J	`jnl`	Iterative Refinement Improves Compositional Image Generation. CoRR Shantanu Jaiswal, Mihir Prabhudesai, Nikash Bhardwaj, Zheyang Qin, Amir Zadeh, Chuan Li, Katerina Fragkiadaki, Deepak Pathak
2026	J	`jnl`	Learning to Assist: Physics-Grounded Human-Human Control via Multi-Agent Reinforcement Learning. CoRR Yuto Shibata, Kashu Yamazaki, Lalit Jayanti, Yoshimitsu Aoki, Mariko Isogawa, Katerina Fragkiadaki
2025	J	`jnl`	3D FlowMatch Actor: Unified 3D Policy for Single- and Dual-Arm Manipulation. CoRR Nikolaos Gkanatsios, Jiahe Xu, Matthew Bronars, Arsalan Mousavian, Tsung-Wei Ke, Katerina Fragkiadaki
2025	J	`jnl`	AllTracker: Efficient Dense Point Tracking at High Resolution. CoRR Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Pavel Tokmakov, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas J. Guibas
2025	J	`jnl`	Diffusion Beats Autoregressive in Data-Constrained Settings. CoRR Mihir Prabhudesai, Mengning Wu, Amir Zadeh, Katerina Fragkiadaki, Deepak Pathak
2025	J	`jnl`	Generative 4D Scene Gaussian Splatting with Object View-Synthesis Priors. CoRR Wen-Hsuan Chu, Lei Ke, Jianmeng Liu, Mingxiao Huo, Pavel Tokmakov, Katerina Fragkiadaki
2025	J	`jnl`	Grounded Reinforcement Learning for Visual Reasoning. CoRR Gabriel Sarch, Snigdha Saha, Naitik Khandelwal, Ayush Jain, Michael J. Tarr, Aviral Kumar, Katerina Fragkiadaki
2025	J	`jnl`	Maximizing Confidence Alone Improves Reasoning. CoRR Mihir Prabhudesai, Lili Chen, Alex Ippoliti, Katerina Fragkiadaki, Hao Liu, Deepak Pathak
2025	J	`jnl`	MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second. CoRR Chenguo Lin, Yuchen Lin, Panwang Pan, Yifan Yu, Honglei Yan, Katerina Fragkiadaki, Yadong Mu
2025	J	`jnl`	PartCrafter: Structured 3D Mesh Generation via Compositional Latent Diffusion Transformers. CoRR Yuchen Lin, Chenguo Lin, Panwang Pan, Honglei Yan, Yiqiang Feng, Yadong Mu, Katerina Fragkiadaki
2025	J	`jnl`	RoboTAG: End-to-end Robot Configuration Estimation via Topological Alignment Graph. CoRR Yifan Liu, Fangneng Zhan, Wanhua Li, Haowen Sun, Katerina Fragkiadaki, Hanspeter Pfister
2025	J	`jnl`	RobotArena ∞: Scalable Robot Benchmarking via Real-to-Sim Translation. CoRR Yash Jangir, Yidi Zhang, Kashu Yamazaki, Chenyu Zhang, Kuan-Hsun Tu, Tsung-Wei Ke, Lei Ke, Yonatan Bisk, Katerina Fragkiadaki
2025	A*	`conf`	Robust Multi-Object 4D Generation for In-the-wild Videos. CVPR Wen-Hsuan Chu, Lei Ke, Jianmeng Liu, Mingxiao Huo, Pavel Tokmakov, Katerina Fragkiadaki
2025	J	`jnl`	Self-Questioning Language Models. CoRR Lili Chen, Mihir Prabhudesai, Katerina Fragkiadaki, Hao Liu, Deepak Pathak
2025	J	`jnl`	TAPIP3D: Tracking Any Point in Persistent 3D Geometry. CoRR Bowei Zhang, Lei Ke, Adam W. Harley, Katerina Fragkiadaki
2025	J	`jnl`	Unified Multimodal Discrete Diffusion. CoRR Alexander Swerdlow, Mihir Prabhudesai, Siddharth Gandhi, Deepak Pathak, Katerina Fragkiadaki
2025	A*	`conf`	Unifying 2D and 3D Vision-Language Understanding. ICML Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
2025	J	`jnl`	Unifying 2D and 3D Vision-Language Understanding. CoRR Ayush Jain, Alexander Swerdlow, Yuzhou Wang, Sergio Arnaud, Ada Martin, Alexander Sax, Franziska Meier, Katerina Fragkiadaki
2025	A*	`conf`	Video Depth without Video Models. CVPR Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2024	Misc	`conf`	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRL Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
2024	J	`jnl`	3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRR Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki
2024	J	`jnl`	Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. CoRR Julen Urain, Ajay Mandlekar, Yilun Du, Mahi Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters
2024	A*	`conf`	Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki
2024	J	`jnl`	Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki
2024	A*	`conf`	DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos. NeurIPS Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
2024	J	`jnl`	DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos. CoRR Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki
2024	A*	`conf`	Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models. ICRA Pushkal Katara, Zhou Xian, Katerina Fragkiadaki
2024	J	`jnl`	HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. CoRR Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki
2024	J	`jnl`	ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. CoRR Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024	J	`jnl`	ODIN: A Single Model for 2D and 3D Perception. CoRR Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024	A*	`conf`	ODIN: A Single Model for 2D and 3D Segmentation. CVPR Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki
2024	A*	`conf`	RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. ICML Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan
2024	A*	`conf`	Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving. ICRA Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff G. Schneider
2024	J	`jnl`	Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving. CoRR Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff Schneider
2024	A*	`conf`	VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought. NeurIPS Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki
2024	J	`jnl`	Video Depth without Video Models. CoRR Bingxin Ke, Dominik Narnhofer, Shengyu Huang, Lei Ke, Torben Peters, Katerina Fragkiadaki, Anton Obukhov, Konrad Schindler
2024	J	`jnl`	Video Diffusion Alignment via Reward Gradients. CoRR Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak Pathak
2024	A*	`conf`	Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
2023	Misc	`conf`	Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation. CoRL Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki
2023	J	`jnl`	Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation. CoRR Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki
2023	A*	`conf`	Analogy-Forming Transformers for Few-Shot 3D Parsing. ICLR Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki
2023	J	`jnl`	Analogy-Forming Transformers for Few-Shot 3D Parsing. CoRR Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki
2023	A*	`conf`	Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. NeurIPS Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe
2023	Misc	`conf`	ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. CoRL Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki
2023	J	`jnl`	Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2023	—	`conf`	Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. Robotics: Science and Systems Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki
2023	J	`jnl`	Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement. CoRR Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki
2023	A*	`conf`	FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan
2023	J	`jnl`	FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan
2023	J	`jnl`	Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models. CoRR Pushkal Katara, Zhou Xian, Katerina Fragkiadaki
2023	—	`conf`	Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. EMNLP (Findings) Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2023	J	`jnl`	Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. CoRR Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki
2023	A*	`conf`	Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2023	A*	`conf`	Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki
2023	A*	`conf`	Test-time Adaptation with Slot-Centric Models. ICML Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
2023	J	`jnl`	Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
2022	J	`jnl`	A Simple Baseline for BEV Perception Without LiDAR. CoRR Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki
2022	—	`conf`	Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. ECCV (36) Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
2022	J	`jnl`	Generating Fast and Slow: Scene Decomposition via Reconstruction. CoRR Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki
2022	—	`conf`	Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories. ECCV (22) Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki
2022	J	`jnl`	Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories. CoRR Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki
2022	Misc	`conf`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	J	`jnl`	Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held
2022	—	`conf`	TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. ECCV (39) Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2022	J	`jnl`	TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors. CoRR Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki
2021	J	`jnl`	Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. CoRR Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki
2021	A*	`conf`	CoCoNets: Continuous Contrastive 3D Scene Representations. CVPR Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki
2021	J	`jnl`	CoCoNets: Continuous Contrastive 3D Scene Representations. CoRR Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki
2021	A*	`conf`	Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. ICLR Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki
2021	A*	`conf`	HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. ICLR Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki
2021	J	`jnl`	HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. CoRR Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki
2021	A	`conf`	Move to See Better: Self-Improving Embodied Object Detection. BMVC Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
2021	A*	`conf`	Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CVPR Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki
2021	J	`jnl`	Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CoRR Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki
2021	Misc	`conf`	Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views. CoRL Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki
2020	J	`jnl`	3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
2020	Misc	`conf`	3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRL Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
2020	J	`jnl`	3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki
2020	—	`conf`	3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki
2020	J	`jnl`	Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki
2020	A*	`conf`	Embodied Language Grounding With 3D Visual Feature Representations. CVPR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2020	—	`conf`	Epipolar Transformer for Multi-view Human Pose Estimation. CVPR Workshops Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020	A*	`conf`	Epipolar Transformers. CVPR Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020	J	`jnl`	Epipolar Transformers. CoRR Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu
2020	A*	`conf`	Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. ICLR Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki
2020	J	`jnl`	Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki
2020	—	`conf`	Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. ECCV (26) Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki
2020	J	`jnl`	Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. CoRR Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki
2019	J	`jnl`	Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki
2019	J	`jnl`	Embodied View-Contrastive 3D Feature Learning. CoRR Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki
2019	Misc	`conf`	Graph-Structured Visual Imitation. CoRL Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
2019	J	`jnl`	Graph-Structured Visual Imitation. CoRR Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki
2019	—	`conf`	Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. ICCV Workshops Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki
2019	J	`jnl`	Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. CoRR Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki
2019	A*	`conf`	Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
2019	J	`jnl`	Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki
2019	A*	`conf`	Model Learning for Look-Ahead Exploration in Continuous Control. AAAI Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
2018	—	`conf`	Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation. Humanoids Maximilian Sieb, Katerina Fragkiadaki
2018	J	`jnl`	Depth-Adaptive Computational Policies for Efficient Visual Tracking. CoRR Chris Ying, Katerina Fragkiadaki
2018	A*	`conf`	Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. NeurIPS Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki
2018	J	`jnl`	Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. CoRR Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki
2018	J	`jnl`	Model Learning for Look-ahead Exploration in Continuous Control. CoRR Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki
2018	Misc	`conf`	Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
2018	J	`jnl`	Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki
2018	A*	`conf`	Reward Learning From Narrated Demonstrations. CVPR Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki
2018	J	`jnl`	Reward Learning from Narrated Demonstrations. CoRR Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki
2017	A*	`conf`	Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. ICCV Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
2017	J	`jnl`	Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. CoRR Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki
2017	—	`conf`	Depth-Adaptive Computational Policies for Efficient Visual Tracking. EMMCVPR Chris Ying, Katerina Fragkiadaki
2017	J	`jnl`	Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar
2017	—	`conf`	Self-supervised Learning of Motion Capture. NIPS Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki
2017	J	`jnl`	Self-supervised Learning of Motion Capture. CoRR Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki
2017	J	`jnl`	SfM-Net: Learning of Structure and Motion from Video. CoRR Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki
2016	A*	`conf`	Human Pose Estimation with Iterative Error Feedback. CVPR João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
2016	A*	`conf`	Learning Visual Predictive Models of Physics for Playing Billiards. ICLR (Poster) Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, Jitendra Malik
2016	J	`jnl`	The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani
2015	J	`jnl`	Human Pose Estimation with Iterative Error Feedback. CoRR João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik
2015	A*	`conf`	Learning to segment moving objects in videos. CVPR Katerina Fragkiadaki, Pablo Arbeláez, Panna Felsen, Jitendra Malik
2015	A*	`conf`	Recurrent Network Models for Human Dynamics. ICCV Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik
2015	J	`jnl`	Recurrent Network Models for Kinematic Tracking. CoRR Katerina Fragkiadaki, Sergey Levine, Jitendra Malik
2014	—	`conf`	Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction. NIPS Katerina Fragkiadaki, Marta Salas, Pablo Andrés Arbeláez, Jitendra Malik
2014	J	`jnl`	Spatio-Temporal Moving Object Proposals. CoRR Katerina Fragkiadaki, Pablo Andrés Arbeláez, Panna Felsen, Jitendra Malik
2013	A*	`conf`	Pose from Flow and Flow from Pose. CVPR Katerina Fragkiadaki, Han Hu, Jianbo Shi
2012	—	`conf`	Structural-Flow Trajectories for Unravelling 3D Tubular Bundles. MICCAI (3) Katerina Fragkiadaki, Weiyu Zhang, Jianbo Shi, Elena Bernardis
2012	—	`conf`	Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions. ECCV (5) Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, Jianbo Shi
2012	A*	`conf`	Video segmentation by tracing discontinuities in a trajectory embedding. CVPR Katerina Fragkiadaki, Geng Zhang, Jianbo Shi
2011	A*	`conf`	Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement. CVPR Katerina Fragkiadaki, Jianbo Shi
2010	—	`conf`	Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects. ECCV (6) Katerina Fragkiadaki, Jianbo Shi