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Katerina Fragkiadaki
Katerina Fragkiadaki
Associate Professor, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Recurrent network models for human dynamics
K Fragkiadaki, S Levine, P Felsen, J Malik
Proceedings of the IEEE international conference on computer vision, 4346-4354, 2015
10202015
Human pose estimation with iterative error feedback
J Carreira, P Agrawal, K Fragkiadaki, J Malik
Proceedings of the IEEE conference on computer vision and pattern …, 2016
9372016
Sfm-net: Learning of structure and motion from video
S Vijayanarasimhan, S Ricco, C Schmid, R Sukthankar, K Fragkiadaki
arXiv preprint arXiv:1704.07804, 2017
4712017
Self-supervised learning of motion capture
HY Tung, HW Tung, E Yumer, K Fragkiadaki
Advances in neural information processing systems 30, 2017
3362017
Learning visual predictive models of physics for playing billiards
K Fragkiadaki, P Agrawal, S Levine, J Malik
arXiv preprint arXiv:1511.07404, 2015
2742015
Learning to segment moving objects in videos
K Fragkiadaki, P Arbelaez, P Felsen, J Malik
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
2342015
Video segmentation by tracing discontinuities in a trajectory embedding
K Fragkiadaki, G Zhang, J Shi
2012 IEEE Conference on Computer Vision and Pattern Recognition, 1846-1853, 2012
2212012
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
HY Fish Tung, AW Harley, W Seto, K Fragkiadaki
Proceedings of the IEEE International Conference on Computer Vision, 4354-4362, 2017
1702017
Epipolar transformers
Y He, R Yan, K Fragkiadaki, SI Yu
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020
1532020
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
K Fragkiadaki, J Shi
CVPR 2011, 2073-2080, 2011
1112011
Two-granularity tracking: Mediating trajectory and detection graphs for tracking under occlusions
K Fragkiadaki, W Zhang, G Zhang, J Shi
Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012
912012
Learning spatial common sense with geometry-aware recurrent networks
HYF Tung, R Cheng, K Fragkiadaki
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
752019
Pose from flow and flow from pose
K Fragkiadaki, H Hu, J Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
752013
Grouping-based low-rank trajectory completion and 3D reconstruction
K Fragkiadaki, M Salas, P Arbelaez, J Malik
advances in neural information processing systems 27, 2014
742014
Reinforcement learning of active vision for manipulating objects under occlusions
R Cheng, A Agarwal, K Fragkiadaki
Conference on Robot Learning, 422-431, 2018
572018
Graph-structured visual imitation
M Sieb, Z Xian, A Huang, O Kroemer, K Fragkiadaki
Conference on Robot Learning, 979-989, 2020
552020
The three R’s of computer vision: Recognition, reconstruction and reorganization
J Malik, P Arbelįez, J Carreira, K Fragkiadaki, R Girshick, G Gkioxari, ...
Pattern Recognition Letters 72, 4-14, 2016
532016
Particle video revisited: Tracking through occlusions using point trajectories
AW Harley, Z Fang, K Fragkiadaki
European Conference on Computer Vision, 59-75, 2022
492022
Simple-bev: What really matters for multi-sensor bev perception?
AW Harley, Z Fang, J Li, R Ambrus, K Fragkiadaki
2023 IEEE International Conference on Robotics and Automation (ICRA), 2759-2765, 2023
402023
Geometry-aware recurrent neural networks for active visual recognition
R Cheng, Z Wang, K Fragkiadaki
Advances in Neural Information Processing Systems 31, 2018
392018
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