266 citations · 1.1k across the 69 of their papers we have counts for
11 papers · 1 filter
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…
Component-based Attention for Large-scale Trademark Retrieval
Osman Tursun, Simon Denman, Sabesan Sivapalan +3
The demand for large-scale trademark retrieval (TR) systems has significantly increased to combat the rise in international trademark infringement. Unfortunately, the ranking accur…
Skeleton Driven Non-rigid Motion Tracking and 3D Reconstruction
Shafeeq Elanattil, Peyman Moghadam, Simon Denman +2
This paper presents a method which can track and 3D reconstruct the non-rigid surface motion of human performance using a moving RGB-D camera. 3D reconstruction of marker-less huma…
Pedestrian Trajectory Prediction with Structured Memory Hierarchies
Tharindu Fernando, Simon Denman, Sridha Sridharan +1
This paper presents a novel framework for human trajectory prediction based on multimodal data (video and radar). Motivated by recent neuroscience discoveries, we propose incorpora…