1 citations · 2 across the 3 of their papers we have counts for
4 papers
Structure Optimization for Deep Multimodal Fusion Networks using Graph-Induced Kernels
Dhanesh Ramachandram, Michal Lisicki, Timothy J. Shields +2
A popular testbed for deep learning has been multimodal recognition of human activity or gesture involving diverse inputs such as video, audio, skeletal pose and depth images. Deep…
GPU Activity Prediction using Representation Learning
Aswin Raghavan, Mohamed Amer, Timothy Shields +2
GPU activity prediction is an important and complex problem. This is due to the high level of contention among thousands of parallel threads. This problem was mostly addressed usin…
Low Precision Neural Networks using Subband Decomposition
Sek Chai, Aswin Raghavan, David Zhang +2
Large-scale deep neural networks (DNN) have been successfully used in a number of tasks from image recognition to natural language processing. They are trained using large training…
Action-Affect Classification and Morphing using Multi-Task Representation Learning
Timothy J. Shields, Mohamed R. Amer, Max Ehrlich +1
Most recent work focused on affect from facial expressions, and not as much on body. This work focuses on body affect analysis. Affect does not occur in isolation. Humans usually c…