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Katerina Fragkiadaki
Katerina Fragkiadaki
Assistant Professor, Carnegie Mellon University
Verified email at cs.cmu.edu - Homepage
Title
Cited by
Cited by
Year
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
7992016
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
7872015
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
4082017
Self-supervised learning of motion capture
HY Tung, HW Tung, E Yumer, K Fragkiadaki
Advances in Neural Information Processing Systems 30, 2017
2832017
Learning visual predictive models of physics for playing billiards
K Fragkiadaki, P Agrawal, S Levine, J Malik
arXiv preprint arXiv:1511.07404, 2015
2462015
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
2202015
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
2092012
Adversarial inverse graphics networks: Learning 2d-to-3d lifting and image-to-image translation from unpaired supervision
HYF Tung, AW Harley, W Seto, K Fragkiadaki
2017 IEEE International Conference on Computer Vision (ICCV), 4364-4372, 2017
1412017
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
K Fragkiadaki, J Shi
CVPR 2011, 2073-2080, 2011
1052011
Epipolar transformers
Y He, R Yan, K Fragkiadaki, SI Yu
Proceedings of the ieee/cvf conference on computer vision and pattern†…, 2020
902020
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
882012
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
702014
Pose from flow and flow from pose
K Fragkiadaki, H Hu, J Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern†…, 2013
702013
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
612019
The three R’s of computer vision: Recognition, reconstruction and reorganization
J Malik, P ArbelŠez, J Carreira, K Fragkiadaki, R Girshick, G Gkioxari, ...
Pattern Recognition Letters 72, 4-14, 2016
462016
Reinforcement learning of active vision for manipulating objects under occlusions
R Cheng, A Agarwal, K Fragkiadaki
Conference on Robot Learning, 422-431, 2018
432018
Graph-structured visual imitation
M Sieb, Z Xian, A Huang, O Kroemer, K Fragkiadaki
Conference on Robot Learning, 979-989, 2020
312020
Reward learning from narrated demonstrations
HY Tung, AW Harley, LK Huang, K Fragkiadaki
Proceedings of the IEEE Conference on Computer Vision and Pattern†…, 2018
312018
Geometry-aware recurrent neural networks for active visual recognition
R Cheng, Z Wang, K Fragkiadaki
Advances in Neural Information Processing Systems 31, 2018
302018
Recurrent network models for kinematic tracking
K Fragkiadaki, S Levine, J Malik
CoRR, abs/1508.00271 1 (2), 4, 2015
282015
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