36 citations · 46 across the 3 of their papers we have counts for
4 papers · 1 filter
ACTNET: end-to-end learning of feature activations and multi-stream aggregation for effective instance image retrieval
Syed Sameed Husain, Eng-Jon Ong, Miroslaw Bober
We propose a novel CNN architecture called ACTNET for robust instance image retrieval from large-scale datasets. Our key innovation is a learnable activation layer designed to impr…
Deep Architectures and Ensembles for Semantic Video Classification
Eng-Jon Ong, Sameed Husain, Mikel Bober-Irizar +1
This work addresses the problem of accurate semantic labelling of short videos. To this end, a multitude of different deep nets, ranging from traditional recurrent neural networks…
Cultivating DNN Diversity for Large Scale Video Labelling
Mikel Bober-Irizar, Sameed Husain, Eng-Jon Ong +1
We investigate factors controlling DNN diversity in the context of the Google Cloud and YouTube-8M Video Understanding Challenge. While it is well-known that ensemble methods impro…
Siamese Network of Deep Fisher-Vector Descriptors for Image Retrieval
Eng-Jon Ong, Sameed Husain, Miroslaw Bober
This paper addresses the problem of large scale image retrieval, with the aim of accurately ranking the similarity of a large number of images to a given query image. To achieve th…