Timothy J. Shields

According to our database, Timothy J. Shields authored at least 8 papers between 2016 and 2018.

Collaborative distances:

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

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

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

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