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ORCIDMohamed R. Amer
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2020 – today
- 2021
[j6]Chris Kim, Xiao Lin, Christopher Collins, Graham W. Taylor, Mohamed R. Amer:
Learn, Generate, Rank, Explain: A Case Study of Visual Explanation by Generative Machine Learning. ACM Trans. Interact. Intell. Syst. 11(3-4): 23:1-23:34 (2021)- 2020
- [c21]Ioannis Agadakos, Nikolaos Agadakos, Jason Polakis, Mohamed R. Amer:
Chameleons' Oblivion: Complex-Valued Deep Neural Networks for Protocol-Agnostic RF Device Fingerprinting. EuroS&P 2020: 322-338
2010 – 2019
- 2019
- [j5]Timothy J. Meo, Chris Kim, Aswin Raghavan, Alex Tozzo, David A. Salter, Amir Tamrakar, Mohamed R. Amer:
Aesop: A visual storytelling platform for conversational AI and common sense grounding. AI Commun. 32(1): 59-76 (2019) - [c20]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Image Classification with Hierarchical Multigraph Networks. BMVC 2019: 251 - [c19]Boris Knyazev, Graham W. Taylor, Mohamed R. Amer:
Understanding Attention and Generalization in Graph Neural Networks. NeurIPS 2019: 4204-4214 - [i12]Boris Knyazev, Graham W. Taylor, Mohamed R. Amer:
Understanding attention in graph neural networks. CoRR abs/1905.02850 (2019) - [i11]Xiao Lin, Indranil Sur, Samuel A. Nastase, Ajay Divakaran, Uri Hasson, Mohamed R. Amer:
Data-Efficient Mutual Information Neural Estimator. CoRR abs/1905.03319 (2019) - [i10]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Image Classification with Hierarchical Multigraph Networks. CoRR abs/1907.09000 (2019) - [i9]Ioannis Agadakos, Nikolaos Agadakos, Jason Polakis, Mohamed R. Amer:
Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild. CoRR abs/1909.08703 (2019) - 2018
- [j4]Mohamed R. Amer, Timothy J. Shields, Behjat Siddiquie, Amir Tamrakar, Ajay Divakaran, Sek M. Chai:
Deep Multimodal Fusion: A Hybrid Approach. Int. J. Comput. Vis. 126(2-4): 440-456 (2018) - [j3]Dhanesh Ramachandram
, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor:
Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures. Neurocomputing 298: 80-89 (2018) - [c18]Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer:
Aesop: A Visual Storytelling Platform for Conversational AI. IJCAI 2018: 5844-5846 - [c17]Sujeong Kim, David A. Salter, Luke Deluccia, Kilho Son, Mohamed R. Amer, Amir Tamrakar:
SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment. NAACL-HLT (Demonstrations) 2018: 86-90 - [i8]Xiao Lin, Mohamed R. Amer:
Human Motion Modeling using DVGANs. CoRR abs/1804.10652 (2018) - [i7]Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor:
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules. CoRR abs/1811.09595 (2018) - 2017
- [c16]Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar:
Action-Affect-Gender Classification Using Multi-task Representation Learning. CVPR Workshops 2017: 2249-2258 - [c15]Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor:
Structure optimization for deep multimodal fusion networks using graph-induced kernels. ESANN 2017 - [i6]Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields:
Low Precision Neural Networks using Subband Decomposition. CoRR abs/1703.08595 (2017) - [i5]Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai:
GPU Activity Prediction using Representation Learning. CoRR abs/1703.09146 (2017) - [i4]Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor:
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels. CoRR abs/1707.00750 (2017) - [i3]Aswin Raghavan, Mohamed R. Amer, Sek M. Chai:
BitNet: Bit-Regularized Deep Neural Networks. CoRR abs/1708.04788 (2017) - 2016
- [j2]Mohamed R. Amer, Sinisa Todorovic:
Sum Product Networks for Activity Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 38(4): 800-813 (2016) - [c14]Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer:
Facial Attributes Classification Using Multi-task Representation Learning. CVPR Workshops 2016: 752-760 - [i2]Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar:
Action-Affect Classification and Morphing using Multi-Task Representation Learning. CoRR abs/1603.06554 (2016) - 2015
- [j1]Mohamed R. Amer, Siavash Yousefi, Raviv Raich, Sinisa Todorovic:
Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization. Int. J. Comput. Vis. 112(1): 23-42 (2015) - [c13]David A. Salter, Amir Tamrakar, Behjat Siddiquie, Mohamed R. Amer, Ajay Divakaran, Brian Lande, Darius Mehri:
The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates. ACII 2015: 656-662 - [c12]Mohamed R. Amer, Ajay Divakaran, Shih-Fu Chang, Nicu Sebe:
2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication (HCMC2015). ACM Multimedia 2015: 1343-1344 - [e1]Mohamed R. Amer, Ajay Divakaran, Shih-Fu Chang, Nicu Sebe:
Proceedings of the 2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication, HCMC 2015, Brisbane, Australia, October 30, 2015. ACM 2015, ISBN 978-1-4503-3747-2 [contents] - [i1]Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar, David A. Salter, Brian Lande, Darius Mehri, Ajay Divakaran:
Human Social Interaction Modeling Using Temporal Deep Networks. CoRR abs/1505.02137 (2015) - 2014
- [c11]Mohamed Rabie Amer, Peng Lei, Sinisa Todorovic:
HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos. ECCV (6) 2014: 572-585 - [c10]Mohamed R. Amer, Behjat Siddiquie, Colleen Richey, Ajay Divakaran:
Emotion detection in speech using deep networks. ICASSP 2014: 3724-3728 - [c9]Mohamed R. Amer, Behjat Siddiquie, Saad M. Khan, Ajay Divakaran, Harpreet S. Sawhney:
Multimodal fusion using dynamic hybrid models. WACV 2014: 556-563 - 2013
- [c8]Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu:
Monte Carlo Tree Search for Scheduling Activity Recognition. ICCV 2013: 1353-1360 - 2012
- [c7]Mohamed R. Amer, Sinisa Todorovic:
Sum-product networks for modeling activities with stochastic structure. CVPR 2012: 1314-1321 - [c6]Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, Song Chun Zhu:
Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition. ECCV (4) 2012: 187-200 - 2011
- [c5]William Brendel, Mohamed R. Amer, Sinisa Todorovic:
Multiobject tracking as maximum weight independent set. CVPR 2011: 1273-1280 - [c4]Mohamed R. Amer, Sinisa Todorovic:
A chains model for localizing participants of group activities in videos. ICCV 2011: 786-793 - [c3]Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic:
PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation. ICCV Workshops 2011: 680-687 - [c2]Mohamed R. Amer, Emil Bilgazyev, Sinisa Todorovic, Shishir K. Shah, Ioannis A. Kakadiaris, Lorenzo Ciannelli:
Fine-grained categorization of fish motion patterns in underwater videos. ICCV Workshops 2011: 1488-1495 - 2010
- [c1]Mohamed R. Amer, Raviv Raich, Sinisa Todorovic:
Monocular Extraction of 2.1D Sketch. ICIP 2010: 3437-3440
Coauthor Index
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