21 citations · 30 across the 4 of their papers we have counts for
4 papers
Memory Augmented Deep Generative models for Forecasting the Next Shot Location in Tennis
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
This paper presents a novel framework for predicting shot location and type in tennis. Inspired by recent neuroscience discoveries we incorporate neural memory modules to model the…
A Deep Four-Stream Siamese Convolutional Neural Network with Joint Verification and Identification Loss for Person Re-detection
Amena Khatun, Simon Denman, Sridha Sridharan +1
State-of-the-art person re-identification systems that employ a triplet based deep network suffer from a poor generalization capability. In this paper, we propose a four stream Sia…
GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
This paper presents a novel deep learning framework for human trajectory prediction and detecting social group membership in crowds. We introduce a generative adversarial pipeline…
Multi-Level Sequence GAN for Group Activity Recognition
Harshala Gammulle, Simon Denman, Sridha Sridharan +1
We propose a novel semi-supervised, Multi-Level Sequential Generative Adversarial Network (MLS-GAN) architecture for group activity recognition. In contrast to previous works which…