18 citations · 52 across the 4 of their papers we have counts for
4 papers · 1 filter
Class Semantics-based Attention for Action Detection
Deepak Sridhar, Niamul Quader, Srikanth Muralidharan +3
Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to f…
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
Frederick Tung, Srikanth Muralidharan, Greg Mori
When approaching a novel visual recognition problem in a specialized image domain, a common strategy is to start with a pre-trained deep neural network and fine-tune it to the spec…
Hierarchical Deep Temporal Models for Group Activity Recognition
Mostafa S. Ibrahim, Srikanth Muralidharan, Zhiwei Deng +2
In this paper we present an approach for classifying the activity performed by a group of people in a video sequence. This problem of group activity recognition can be addressed by…
Deep Structured Models For Group Activity Recognition
Zhiwei Deng, Mengyao Zhai, Lei Chen +4
This paper presents a deep neural-network-based hierarchical graphical model for individual and group activity recognition in surveillance scenes. Deep networks are used to recogni…