Katerina Fragkiadaki
Katerina Fragkiadaki
Assistant Professor, Carnegie Mellon University
Vahvistettu sähköpostiosoite verkkotunnuksessa cs.cmu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
6482016
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
5792015
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
3172017
Self-supervised learning of motion capture
HYF Tung, HW Tung, E Yumer, K Fragkiadaki
arXiv preprint arXiv:1712.01337, 2017
2112017
Learning visual predictive models of physics for playing billiards
K Fragkiadaki, P Agrawal, S Levine, J Malik
arXiv preprint arXiv:1511.07404, 2015
2082015
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
2012015
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
1942012
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
1112017
Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement
K Fragkiadaki, J Shi
CVPR 2011, 2073-2080, 2011
962011
Two-granularity tracking: Mediating trajectory and detection graphs for tracking under occlusions
K Fragkiadaki, W Zhang, G Zhang, J Shi
European Conference on Computer Vision, 552-565, 2012
842012
Pose from flow and flow from pose
K Fragkiadaki, H Hu, J Shi
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
672013
Grouping-based low-rank trajectory completion and 3D reconstruction
K Fragkiadaki, M Salas, P Arbelaez, J Malik
Advances in Neural Information Processing Systems 27, 55-63, 2014
662014
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
422019
The three R’s of computer vision: Recognition, reconstruction and reorganization
J Malik, P Arbeláez, J Carreira, K Fragkiadaki, R Girshick, G Gkioxari, ...
Pattern Recognition Letters 72, 4-14, 2016
362016
Epipolar transformers
Y He, R Yan, K Fragkiadaki, SI Yu
Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020
302020
Reinforcement learning of active vision for manipulating objects under occlusions
R Cheng, A Agarwal, K Fragkiadaki
Conference on Robot Learning, 422-431, 2018
222018
Recurrent network models for kinematic tracking
K Fragkiadaki, S Levine, J Malik
CoRR, abs/1508.00271 1 (2), 4, 2015
222015
Geometry-aware recurrent neural networks for active visual recognition
R Cheng, Z Wang, K Fragkiadaki
arXiv preprint arXiv:1811.01292, 2018
202018
Reward learning from narrated demonstrations
HY Tung, AW Harley, LK Huang, K Fragkiadaki
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
182018
Motion prediction under multimodality with conditional stochastic networks
K Fragkiadaki, J Huang, A Alemi, S Vijayanarasimhan, S Ricco, ...
arXiv preprint arXiv:1705.02082, 2017
182017
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Artikkelit 1–20