273 citations · 507 across the 16 of their papers we have counts for
7 papers · 1 filter
Reducing Inference Latency with Concurrent Architectures for Image Recognition
Ramyad Hadidi, Jiashen Cao, Michael S. Ryoo +1
Satisfying the high computation demand of modern deep learning architectures is challenging for achieving low inference latency. The current approaches in decreasing latency only i…
AssembleNet++: Assembling Modality Representations via Attention Connections
Michael S. Ryoo, AJ Piergiovanni, Juhana Kangaspunta +1
We create a family of powerful video models which are able to: (i) learn interactions between semantic object information and raw appearance and motion features, and (ii) deploy at…
Adversarial Generative Grammars for Human Activity Prediction
AJ Piergiovanni, Anelia Angelova, Alexander Toshev +1
In this paper we propose an adversarial generative grammar model for future prediction. The objective is to learn a model that explicitly captures temporal dependencies, providing…
AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification
Xiaofang Wang, Xuehan Xiong, Maxim Neumann +5
Convolutional operations have two limitations: (1) do not explicitly model where to focus as the same filter is applied to all the positions, and (2) are unsuitable for modeling lo…
AViD Dataset: Anonymized Videos from Diverse Countries
AJ Piergiovanni, Michael S. Ryoo
We introduce a new public video dataset for action recognition: Anonymized Videos from Diverse countries (AViD). Unlike existing public video datasets, AViD is a collection of acti…
LCP: A Low-Communication Parallelization Method for Fast Neural Network Inference in Image Recognition
Ramyad Hadidi, Bahar Asgari, Jiashen Cao +6
Deep neural networks (DNNs) have inspired new studies in myriad edge applications with robots, autonomous agents, and Internet-of-things (IoT) devices. However, performing inferenc…