Timothy J. Shields

Publication Activity (10 Years)

Years Active: 2016-2018
Publications (10 Years): 9

Top Topics

Subband Decomposition

Learning Problems

Multimodal Fusion

Multitask Learning

Top Venues

Int. J. Comput. Vis.

Publications

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 (2018)
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) (2018)
Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields
Low Precision Neural Networks using Subband Decomposition. CoRR (2017)
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)
Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai
GPU Activity Prediction using Representation Learning. CoRR (2017)
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
Action-Affect-Gender Classification Using Multi-task Representation Learning. CVPR Workshops (2017)
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 (2017)
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich, Amir Tamrakar
Action-Affect Classification and Morphing using Multi-Task Representation Learning. CoRR (2016)
Max Ehrlich, Timothy J. Shields, Timur R. Almaev, Mohamed R. Amer
Facial Attributes Classification Using Multi-task Representation Learning. CVPR Workshops (2016)