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Hamed Kiani Galoogahi
- > Home > Persons > Hamed Kiani Galoogahi
Publications
- 2018
- [c19]Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey:
Deep-LK for Efficient Adaptive Object Tracking. ICRA 2018: 627-634 - 2017
- [c18]Rui Zhu, Hamed Kiani Galoogahi, Chaoyang Wang, Simon Lucey:
Rethinking Reprojection: Closing the Loop for Pose-Aware Shape Reconstruction from a Single Image. ICCV 2017: 57-65 - [c17]Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey:
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. ICCV 2017: 1134-1143 - [c16]Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey:
Learning Background-Aware Correlation Filters for Visual Tracking. ICCV 2017: 1144-1152 - [i5]Hamed Kiani Galoogahi, Ashton Fagg, Simon Lucey:
Learning Background-Aware Correlation Filters for Visual Tracking. CoRR abs/1703.04590 (2017) - [i4]Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey:
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. CoRR abs/1703.05884 (2017) - [i3]Chaoyang Wang, Hamed Kiani Galoogahi, Chen-Hsuan Lin, Simon Lucey:
Deep-LK for Efficient Adaptive Object Tracking. CoRR abs/1705.06839 (2017) - [i2]Rui Zhu, Hamed Kiani Galoogahi, Chaoyang Wang, Simon Lucey:
Rethinking Reprojection: Closing the Loop for Pose-aware ShapeReconstruction from a Single Image. CoRR abs/1707.04682 (2017) - 2016
- [c15]Chen Kong, Rui Zhu, Hamed Kiani, Simon Lucey:
Structure from Category: A Generic and Prior-Less Approach. 3DV 2016: 296-304 - 2015
- [c8]Hamed Kiani Galoogahi, Terence Sim, Simon Lucey:
Correlation filters with limited boundaries. CVPR 2015: 4630-4638 - 2014
- [c5]Hamed Kiani Galoogahi, Terence Sim, Simon Lucey:
Multi-channel correlation filters for human action recognition. ICIP 2014: 1485-1489 - [i1]Hamed Kiani Galoogahi, Terence Sim, Simon Lucey:
Correlation Filters with Limited Boundaries. CoRR abs/1403.7876 (2014) - 2013
- [c4]Hamed Kiani Galoogahi, Terence Sim, Simon Lucey:
Multi-channel Correlation Filters. ICCV 2013: 3072-3079
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