Mohamed R. Amer

According to our database, Mohamed R. Amer authored at least 37 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Learn, Generate, Rank, Explain: A Case Study of Visual Explanation by Generative Machine Learning.

Chris Kim, Xiao Lin, Christopher Collins, Graham W. Taylor, Mohamed R. Amer

ACM Trans. Interact. Intell. Syst., 2021

2020

Chameleons' Oblivion: Complex-Valued Deep Neural Networks for Protocol-Agnostic RF Device Fingerprinting.

Ioannis Agadakos, Nikolaos Agadakos, Jason Polakis, Mohamed R. Amer

Proceedings of the IEEE European Symposium on Security and Privacy, 2020

2019

Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild.

Ioannis Agadakos, Nikolaos Agadakos, Jason Polakis, Mohamed R. Amer

CoRR, 2019

Data-Efficient Mutual Information Neural Estimator.

Xiao Lin, Indranil Sur, Samuel A. Nastase, Ajay Divakaran, Uri Hasson, Mohamed R. Amer

CoRR, 2019

Understanding attention in graph neural networks.

Boris Knyazev, Graham W. Taylor, Mohamed R. Amer

CoRR, 2019

Aesop: A visual storytelling platform for conversational AI and common sense grounding.

Timothy J. Meo, Chris Kim, Aswin Raghavan, Alex Tozzo, David A. Salter, Amir Tamrakar, Mohamed R. Amer

AI Commun., 2019

Understanding Attention and Generalization in Graph Neural Networks.

Boris Knyazev, Graham W. Taylor, Mohamed R. Amer

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Image Classification with Hierarchical Multigraph Networks.

Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Bayesian optimization on graph-structured search spaces: Optimizing deep multimodal fusion architectures.

Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor

Neurocomputing, 2018

Deep Multimodal Fusion: A Hybrid Approach.

Mohamed R. Amer, Timothy J. Shields, Behjat Siddiquie, Amir Tamrakar, Ajay Divakaran, Sek M. Chai

Int. J. Comput. Vis., 2018

Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules.

Boris Knyazev, Xiao Lin, Mohamed R. Amer, Graham W. Taylor

CoRR, 2018

Human Motion Modeling using DVGANs.

Xiao Lin, Mohamed R. Amer

CoRR, 2018

SMILEE: Symmetric Multi-modal Interactions with Language-gesture Enabled (AI) Embodiment.

Sujeong Kim, David A. Salter, Luke Deluccia, Kilho Son, Mohamed R. Amer, Amir Tamrakar

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

Aesop: A Visual Storytelling Platform for Conversational AI.

Tim Meo, Aswin Raghavan, David A. Salter, Alex Tozzo, Amir Tamrakar, Mohamed R. Amer

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

BitNet: Bit-Regularized Deep Neural Networks.

Aswin Raghavan, Mohamed R. Amer, Sek M. Chai

CoRR, 2017

GPU Activity Prediction using Representation Learning.

Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai

CoRR, 2017

Low Precision Neural Networks using Subband Decomposition.

Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields

CoRR, 2017

Structure optimization for deep multimodal fusion networks using graph-induced kernels.

Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields, Mohamed R. Amer, Graham W. Taylor

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Action-Affect-Gender Classification Using Multi-task Representation Learning.

Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Sum Product Networks for Activity Recognition.

Mohamed R. Amer, Sinisa Todorovic

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Action-Affect Classification and Morphing using Multi-Task Representation Learning.

Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar

CoRR, 2016

Facial Attributes Classification Using Multi-task Representation Learning.

Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Monocular Extraction of 2.1D Sketch Using Constrained Convex Optimization.

Mohamed R. Amer, Siavash Yousefi, Raviv Raich, Sinisa Todorovic

Int. J. Comput. Vis., 2015

Human Social Interaction Modeling Using Temporal Deep Networks.

Mohamed R. Amer, Behjat Siddiquie, Amir Tamrakar, David A. Salter, Brian Lande, Darius Mehri, Ajay Divakaran

CoRR, 2015

2nd Workshop on Computational Models of Social Interactions: Human-Computer-Media Communication (HCMC2015).

Mohamed R. Amer, Ajay Divakaran, Shih-Fu Chang, Nicu Sebe

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

The Tower Game Dataset: A multimodal dataset for analyzing social interaction predicates.

David A. Salter, Amir Tamrakar, Behjat Siddiquie, Mohamed R. Amer, Ajay Divakaran, Brian Lande, Darius Mehri

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

Multimodal fusion using dynamic hybrid models.

Mohamed R. Amer, Behjat Siddiquie, Saad M. Khan, Ajay Divakaran, Harpreet S. Sawhney

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2014

Emotion detection in speech using deep networks.

Mohamed R. Amer, Behjat Siddiquie, Colleen Richey, Ajay Divakaran

Proceedings of the IEEE International Conference on Acoustics, 2014

HiRF: Hierarchical Random Field for Collective Activity Recognition in Videos.

Mohamed Rabie Amer, Peng Lei, Sinisa Todorovic

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Monte Carlo Tree Search for Scheduling Activity Recognition.

Mohamed R. Amer, Sinisa Todorovic, Alan Fern, Song-Chun Zhu

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition.

Mohamed R. Amer, Dan Xie, Mingtian Zhao, Sinisa Todorovic, Song Chun Zhu

Proceedings of the Computer Vision - ECCV 2012, 2012

Sum-product networks for modeling activities with stochastic structure.

Mohamed R. Amer, Sinisa Todorovic

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

PEL-CNF: Probabilistic event logic conjunctive normal form for video interpretation.

Joseph Selman, Mohamed R. Amer, Alan Fern, Sinisa Todorovic

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

Fine-grained categorization of fish motion patterns in underwater videos.

Mohamed R. Amer, Emil Bilgazyev, Sinisa Todorovic, Shishir K. Shah, Ioannis A. Kakadiaris, Lorenzo Ciannelli

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

A chains model for localizing participants of group activities in videos.

Mohamed R. Amer, Sinisa Todorovic

Proceedings of the IEEE International Conference on Computer Vision, 2011

Multiobject tracking as maximum weight independent set.

William Brendel, Mohamed R. Amer, Sinisa Todorovic

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Monocular Extraction of 2.1D Sketch.

Mohamed R. Amer, Raviv Raich, Sinisa Todorovic

Proceedings of the International Conference on Image Processing, 2010