research
∙
08/09/2023
High-Level Features Parallelization for Inference Cost Reduction Through Selective Attention
In this work, we parallelize high-level features in deep networks to sel...
share
research
∙
10/21/2021
Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
Synthesising the spatial and temporal dynamics of the human body skeleto...
research
∙
06/19/2020
A Symbolic Temporal Pooling method for Video-based Person Re-Identification
In video-based person re-identification, both the spatial and temporal f...
research
∙
04/06/2020
The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection, Tracking, Re-Identification and Search from Aerial Devices
Over the last decades, the world has been witnessing growing threats to ...
research
∙
04/02/2020
An Attention-Based Deep Learning Model for Multiple Pedestrian Attributes Recognition
The automatic characterization of pedestrians in surveillance footage is...
research
∙
02/26/2020
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems
This paper describes one objective function for learning semantically co...
research
∙
01/30/2020