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2020 – today
- 2024
[c55]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Segmentation. CVPR 2024: 3564-3574- [c54]Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff G. Schneider, Katerina Fragkiadaki:
Diffusion-ES: Gradient-Free Planning with Diffusion for Autonomous and Instruction-Guided Driving. CVPR 2024: 15342-15353 - [c53]Yufei Wang, Zhou Xian, Feng Chen, Tsun-Hsuan Wang, Yian Wang, Katerina Fragkiadaki, Zackory Erickson, David Held, Chuang Gan:
RoboGen: Towards Unleashing Infinite Data for Automated Robot Learning via Generative Simulation. ICML 2024 - [c52]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA 2024: 4916-4923 - [c51]Pushkal Katara, Zhou Xian, Katerina Fragkiadaki:
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models. ICRA 2024: 6672-6679 - [c50]Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John Dolan, Jeff G. Schneider:
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving. ICRA 2024: 14785-14791 - [i49]Ayush Jain, Pushkal Katara, Nikolaos Gkanatsios, Adam W. Harley, Gabriel Sarch, Kriti Aggarwal, Vishrav Chaudhary, Katerina Fragkiadaki:
ODIN: A Single Model for 2D and 3D Perception. CoRR abs/2401.02416 (2024) - [i48]Brian Yang, Huangyuan Su, Nikolaos Gkanatsios, Tsung-Wei Ke, Ayush Jain, Jeff Schneider, Katerina Fragkiadaki:
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous Driving and Zero-Shot Instruction Following. CoRR abs/2402.06559 (2024) - [i47]Tsung-Wei Ke, Nikolaos Gkanatsios, Katerina Fragkiadaki:
3D Diffuser Actor: Policy Diffusion with 3D Scene Representations. CoRR abs/2402.10885 (2024) - [i46]Adam Villaflor, Brian Yang, Huangyuan Su, Katerina Fragkiadaki, John M. Dolan, Jeff Schneider:
Tractable Joint Prediction and Planning over Discrete Behavior Modes for Urban Driving. CoRR abs/2403.07232 (2024) - [i45]Gabriel Sarch, Sahil Somani, Raghav Kapoor, Michael J. Tarr, Katerina Fragkiadaki:
HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models. CoRR abs/2404.19065 (2024) - [i44]Wen-Hsuan Chu, Lei Ke, Katerina Fragkiadaki:
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos. CoRR abs/2405.02280 (2024) - [i43]Gabriel Sarch, Lawrence Jang, Michael J. Tarr, William W. Cohen, Kenneth Marino, Katerina Fragkiadaki:
ICAL: Continual Learning of Multimodal Agents by Transforming Trajectories into Actionable Insights. CoRR abs/2406.14596 (2024) - [i42]Mihir Prabhudesai, Russell Mendonca, Zheyang Qin, Katerina Fragkiadaki, Deepak Pathak:
Video Diffusion Alignment via Reward Gradients. CoRR abs/2407.08737 (2024) - [i41]Julen Urain, Ajay Mandlekar, Yilun Du, Mahi Shafiullah, Danfei Xu, Katerina Fragkiadaki, Georgia Chalvatzaki, Jan Peters:
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations. CoRR abs/2408.04380 (2024) - 2023
- [c49]Zhou Xian, Nikolaos Gkanatsios, Théophile Gervet, Tsung-Wei Ke, Katerina Fragkiadaki:
ChainedDiffuser: Unifying Trajectory Diffusion and Keypose Prediction for Robotic Manipulation. CoRL 2023: 2323-2339 - [c48]Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki:
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation. CoRL 2023: 3949-3965 - [c47]Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki:
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. EMNLP (Findings) 2023: 3468-3500 - [c46]Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki:
Analogy-Forming Transformers for Few-Shot 3D Parsing. ICLR 2023 - [c45]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. ICLR 2023 - [c44]Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation with Slot-Centric Models. ICML 2023: 28151-28166 - [c43]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
Simple-BEV: What Really Matters for Multi-Sensor BEV Perception? ICRA 2023: 2759-2765 - [c42]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Test-time Adaptation of Discriminative Models via Diffusion Generative Feedback. NeurIPS 2023 - [c41]Gabriel Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila Wehbe:
Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images. NeurIPS 2023 - [c40]Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki:
Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement. Robotics: Science and Systems 2023 - [i40]Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan:
FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation. CoRR abs/2303.02346 (2023) - [i39]Nikolaos Gkanatsios, Mayank Singh, Zhaoyuan Fang, Shubham Tulsiani, Katerina Fragkiadaki:
Analogy-Forming Transformers for Few-Shot 3D Parsing. CoRR abs/2304.14382 (2023) - [i38]Nikolaos Gkanatsios, Ayush Jain, Zhou Xian, Yunchu Zhang, Christopher G. Atkeson, Katerina Fragkiadaki:
Energy-based Models as Zero-Shot Planners for Compositional Scene Rearrangement. CoRR abs/2304.14391 (2023) - [i37]Théophile Gervet, Zhou Xian, Nikolaos Gkanatsios, Katerina Fragkiadaki:
Act3D: Infinite Resolution Action Detection Transformer for Robotic Manipulation. CoRR abs/2306.17817 (2023) - [i36]Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki:
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR abs/2310.06992 (2023) - [i35]Gabriel Sarch, Yue Wu, Michael J. Tarr, Katerina Fragkiadaki:
Open-Ended Instructable Embodied Agents with Memory-Augmented Large Language Models. CoRR abs/2310.15127 (2023) - [i34]Pushkal Katara, Zhou Xian, Katerina Fragkiadaki:
Gen2Sim: Scaling up Robot Learning in Simulation with Generative Models. CoRR abs/2310.18308 (2023) - [i33]Mihir Prabhudesai, Tsung-Wei Ke, Alexander C. Li, Deepak Pathak, Katerina Fragkiadaki:
Diffusion-TTA: Test-time Adaptation of Discriminative Models via Generative Feedback. CoRR abs/2311.16102 (2023) - 2022
- [c39]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRL 2022: 1640-1651 - [c38]Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki:
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories. ECCV (22) 2022: 59-75 - [c37]Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki:
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. ECCV (36) 2022: 417-433 - [c36]Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki:
TIDEE: Tidying Up Novel Rooms Using Visuo-Semantic Commonsense Priors. ECCV (39) 2022: 480-496 - [i32]Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki:
Generating Fast and Slow: Scene Decomposition via Reconstruction. CoRR abs/2203.11194 (2022) - [i31]Adam W. Harley, Zhaoyuan Fang, Katerina Fragkiadaki:
Particle Videos Revisited: Tracking Through Occlusions Using Point Trajectories. CoRR abs/2204.04153 (2022) - [i30]Adam W. Harley, Zhaoyuan Fang, Jie Li, Rares Ambrus, Katerina Fragkiadaki:
A Simple Baseline for BEV Perception Without LiDAR. CoRR abs/2206.07959 (2022) - [i29]Gabriel Sarch, Zhaoyuan Fang, Adam W. Harley, Paul Schydlo, Michael J. Tarr, Saurabh Gupta, Katerina Fragkiadaki:
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors. CoRR abs/2207.10761 (2022) - [i28]Xingyu Lin, Carl Qi, Yunchu Zhang, Zhiao Huang, Katerina Fragkiadaki, Yunzhu Li, Chuang Gan, David Held:
Planning with Spatial-Temporal Abstraction from Point Clouds for Deformable Object Manipulation. CoRR abs/2210.15751 (2022) - 2021
- [c35]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Self-Improving Embodied Object Detection. BMVC 2021: 270 - [c34]Jingyun Yang, Hsiao-Yu Tung, Yunchu Zhang, Gaurav Pathak, Ashwini Pokle, Christopher G. Atkeson, Katerina Fragkiadaki:
Visually-Grounded Library of Behaviors for Manipulating Diverse Objects across Diverse Configurations and Views. CoRL 2021: 695-705 - [c33]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CVPR 2021: 12487-12496 - [c32]Adam W. Harley, Yiming Zuo
, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki:
Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CVPR 2021: 16581-16591 - [c31]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks for Few-Shot Concept Learning. ICLR 2021 - [c30]Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki:
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. ICLR 2021 - [i27]Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Emmanouil Antonios Platanios, Katerina Fragkiadaki:
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks. CoRR abs/2103.09439 (2021) - [i26]Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki:
Track, Check, Repeat: An EM Approach to Unsupervised Tracking. CoRR abs/2104.03424 (2021) - [i25]Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki:
CoCoNets: Continuous Contrastive 3D Scene Representations. CoRR abs/2104.03851 (2021) - [i24]Ayush Jain, Nikolaos Gkanatsios, Ishita Mediratta, Katerina Fragkiadaki:
Bottom Up Top Down Detection Transformers for Language Grounding in Images and Point Clouds. CoRR abs/2112.08879 (2021) - 2020
- [c29]Hsiao-Yu Tung, Zhou Xian, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRL 2020: 1669-1683 - [c28]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3DQ-Nets: Visual Concepts Emerge in Pose Equivariant 3D Quantized Neural Scene Representations. CVPR Workshops 2020: 1567-1570 - [c27]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding With 3D Visual Feature Representations. CVPR 2020: 2217-2226 - [c26]Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformer for Multi-view Human Pose Estimation. CVPR Workshops 2020: 4466-4471 - [c25]Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformers. CVPR 2020: 7776-7785 - [c24]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki:
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. ECCV (26) 2020: 598-614 - [c23]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Fangyu Li, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Learning from Unlabelled Videos Using Contrastive Predictive Neural 3D Mapping. ICLR 2020 - [i23]Yihui He, Rui Yan, Katerina Fragkiadaki, Shoou-I Yu:
Epipolar Transformers. CoRR abs/2005.04551 (2020) - [i22]Adam W. Harley, Shrinidhi Kowshika Lakshmikanth, Paul Schydlo, Katerina Fragkiadaki:
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping. CoRR abs/2008.01295 (2020) - [i21]Mihir Prabhudesai, Shamit Lal, Hsiao-Yu Fish Tung, Adam W. Harley, Shubhankar Potdar, Katerina Fragkiadaki:
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations. CoRR abs/2010.16279 (2020) - [i20]Mihir Prabhudesai, Shamit Lal, Darshan Patil, Hsiao-Yu Tung, Adam W. Harley, Katerina Fragkiadaki:
Disentangling 3D Prototypical Networks For Few-Shot Concept Learning. CoRR abs/2011.03367 (2020) - [i19]Hsiao-Yu Fish Tung, Xian Zhou, Mihir Prabhudesai, Shamit Lal, Katerina Fragkiadaki:
3D-OES: Viewpoint-Invariant Object-Factorized Environment Simulators. CoRR abs/2011.06464 (2020) - [i18]Zhaoyuan Fang, Ayush Jain, Gabriel Sarch, Adam W. Harley, Katerina Fragkiadaki:
Move to See Better: Towards Self-Supervised Amodal Object Detection. CoRR abs/2012.00057 (2020)
2010 – 2019
- 2019
- [c22]Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-Ahead Exploration in Continuous Control. AAAI 2019: 3151-3158 - [c21]Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
Graph-Structured Visual Imitation. CoRL 2019: 979-989 - [c20]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense With Geometry-Aware Recurrent Networks. CVPR 2019: 2595-2603 - [c19]Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. ICCV Workshops 2019: 3324-3332 - [i17]Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki:
Learning Spatial Common Sense with Geometry-Aware Recurrent Networks. CoRR abs/1901.00003 (2019) - [i16]Adam W. Harley, Shih-En Wei, Jason M. Saragih, Katerina Fragkiadaki:
Image Disentanglement and Uncooperative Re-Entanglement for High-Fidelity Image-to-Image Translation. CoRR abs/1901.03628 (2019) - [i15]Adam W. Harley, Fangyu Li, Shrinidhi Kowshika Lakshmikanth, Xian Zhou, Hsiao-Yu Fish Tung, Katerina Fragkiadaki:
Embodied View-Contrastive 3D Feature Learning. CoRR abs/1906.03764 (2019) - [i14]Maximilian Sieb, Xian Zhou, Audrey Huang, Oliver Kroemer, Katerina Fragkiadaki:
Graph-Structured Visual Imitation. CoRR abs/1907.05518 (2019) - [i13]Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding with Implicit 3D Visual Feature Representations. CoRR abs/1910.01210 (2019) - 2018
- [c18]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision for Manipulating Objects under Occlusions. CoRL 2018: 422-431 - [c17]Hsiao-Yu Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning From Narrated Demonstrations. CVPR 2018: 7004-7013 - [c16]Maximilian Sieb, Katerina Fragkiadaki:
Data Dreaming for Object Detection: Learning Object-Centric State Representations for Visual Imitation. Humanoids 2018: 1-9 - [c15]Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki:
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. NeurIPS 2018: 5086-5096 - [i12]Chris Ying, Katerina Fragkiadaki:
Depth-Adaptive Computational Policies for Efficient Visual Tracking. CoRR abs/1801.00508 (2018) - [i11]Hsiao-Yu Fish Tung, Adam W. Harley, Liang-Kang Huang, Katerina Fragkiadaki:
Reward Learning from Narrated Demonstrations. CoRR abs/1804.10692 (2018) - [i10]Ricson Cheng, Ziyan Wang, Katerina Fragkiadaki:
Geometry-Aware Recurrent Neural Networks for Active Visual Recognition. CoRR abs/1811.01292 (2018) - [i9]Ricson Cheng, Arpit Agarwal, Katerina Fragkiadaki:
Reinforcement Learning of Active Vision forManipulating Objects under Occlusions. CoRR abs/1811.08067 (2018) - [i8]Arpit Agarwal, Katharina Muelling, Katerina Fragkiadaki:
Model Learning for Look-ahead Exploration in Continuous Control. CoRR abs/1811.08086 (2018) - 2017
- [c14]Chris Ying, Katerina Fragkiadaki:
Depth-Adaptive Computational Policies for Efficient Visual Tracking. EMMCVPR 2017: 109-122 - [c13]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. ICCV 2017: 4364-4372 - [c12]Hsiao-Yu Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki:
Self-supervised Learning of Motion Capture. NIPS 2017: 5236-5246 - [i7]Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki:
SfM-Net: Learning of Structure and Motion from Video. CoRR abs/1704.07804 (2017) - [i6]Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar:
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR abs/1705.02082 (2017) - [i5]Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki:
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision. CoRR abs/1705.11166 (2017) - [i4]Hsiao-Yu Fish Tung, Hsiao-Wei Tung, Ersin Yumer, Katerina Fragkiadaki:
Self-supervised Learning of Motion Capture. CoRR abs/1712.01337 (2017) - 2016
- [j1]Jitendra Malik, Pablo Andrés Arbeláez, João Carreira, Katerina Fragkiadaki, Ross B. Girshick, Georgia Gkioxari, Saurabh Gupta, Bharath Hariharan, Abhishek Kar, Shubham Tulsiani:
The three R's of computer vision: Recognition, reconstruction and reorganization. Pattern Recognit. Lett. 72: 4-14 (2016) - [c11]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CVPR 2016: 4733-4742 - [c10]Katerina Fragkiadaki, Pulkit Agrawal, Sergey Levine, Jitendra Malik:
Learning Visual Predictive Models of Physics for Playing Billiards. ICLR (Poster) 2016 - 2015
- [c9]Katerina Fragkiadaki, Pablo Arbeláez, Panna Felsen, Jitendra Malik:
Learning to segment moving objects in videos. CVPR 2015: 4083-4090 - [c8]Katerina Fragkiadaki, Sergey Levine, Panna Felsen, Jitendra Malik:
Recurrent Network Models for Human Dynamics. ICCV 2015: 4346-4354 - [i3]João Carreira, Pulkit Agrawal, Katerina Fragkiadaki, Jitendra Malik:
Human Pose Estimation with Iterative Error Feedback. CoRR abs/1507.06550 (2015) - [i2]Katerina Fragkiadaki, Sergey Levine, Jitendra Malik:
Recurrent Network Models for Kinematic Tracking. CoRR abs/1508.00271 (2015) - 2014
- [c7]Katerina Fragkiadaki, Marta Salas, Pablo Andrés Arbeláez, Jitendra Malik:
Grouping-Based Low-Rank Trajectory Completion and 3D Reconstruction. NIPS 2014: 55-63 - [i1]Katerina Fragkiadaki, Pablo Andrés Arbeláez, Panna Felsen, Jitendra Malik:
Spatio-Temporal Moving Object Proposals. CoRR abs/1412.6504 (2014) - 2013
- [c6]Katerina Fragkiadaki, Han Hu, Jianbo Shi:
Pose from Flow and Flow from Pose. CVPR 2013: 2059-2066 - 2012
- [c5]Katerina Fragkiadaki, Geng Zhang, Jianbo Shi:
Video segmentation by tracing discontinuities in a trajectory embedding. CVPR 2012: 1846-1853 - [c4]Katerina Fragkiadaki, Weiyu Zhang, Geng Zhang, Jianbo Shi:
Two-Granularity Tracking: Mediating Trajectory and Detection Graphs for Tracking under Occlusions. ECCV (5) 2012: 552-565 - [c3]Katerina Fragkiadaki, Weiyu Zhang, Jianbo Shi, Elena Bernardis:
Structural-Flow Trajectories for Unravelling 3D Tubular Bundles. MICCAI (3) 2012: 631-638 - 2011
- [c2]Katerina Fragkiadaki, Jianbo Shi:
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement. CVPR 2011: 2073-2080 - 2010
- [c1]Katerina Fragkiadaki, Jianbo Shi:
Figure-Ground Image Segmentation Helps Weakly-Supervised Learning of Objects. ECCV (6) 2010: 561-574
Coauthor Index
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