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2020 – today
- 2020
[c7]Mostafa S. Ibrahim, Arash Vahdat, Mani Ranjbar, William G. Macready:
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks. CVPR 2020: 12712-12722
2010 – 2019
- 2019
- [c6]Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. ICCV 2019: 480-490 - [i1]Mehran Khodabandeh, Arash Vahdat, Mani Ranjbar, William G. Macready:
A Robust Learning Approach to Domain Adaptive Object Detection. CoRR abs/1904.02361 (2019) - 2016
- [j4]Mani Ranjbar, William G. Macready, Lane H. Clark, Frank Gaitan
:
Generalized Ramsey numbers through adiabatic quantum optimization. Quantum Inf. Process. 15(9): 3519-3542 (2016) - 2013
- [j3]Mani Ranjbar, Tian Lan, Yang Wang, Stephen N. Robinovitch, Ze-Nian Li, Greg Mori:
Optimizing Nondecomposable Loss Functions in Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 35(4): 911-924 (2013) - 2012
- [j2]Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, Greg Mori:
A large margin framework for single camera offline tracking with hybrid cues. Comput. Vis. Image Underst. 116(6): 676-689 (2012) - [c5]Mani Ranjbar, Arash Vahdat, Greg Mori:
Complex loss optimization via dual decomposition. CVPR 2012: 2304-2311 - 2011
- [c4]Arash Vahdat, Bo Gao, Mani Ranjbar, Greg Mori:
A discriminative key pose sequence model for recognizing human interactions. ICCV Workshops 2011: 1729-1736 - 2010
- [c3]Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Mani Ranjbar, Ze-Nian Li, Nicolas Saunier, Tarek Sayed, Greg Mori:
Max-Margin Offline Pedestrian Tracking with Multiple Cues. CRV 2010: 347-353 - [c2]Mani Ranjbar, Greg Mori, Yang Wang:
Optimizing Complex Loss Functions in Structured Prediction. ECCV (2) 2010: 580-593
2000 – 2009
- 2009
- [j1]Mani Ranjbar, Shohreh Kasaei:
Spatial error concealment: A novel exemplar-based approach using segmentation. Comput. Electr. Eng. 35(4): 536-548 (2009) - [c1]Mohammad Norouzi, Mani Ranjbar, Greg Mori:
Stacks of convolutional Restricted Boltzmann Machines for shift-invariant feature learning. CVPR 2009: 2735-2742
Coauthor Index
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