319 citations · 718 across the 41 of their papers we have counts for
5 papers · 1 filter
Discriminatively Learned Hierarchical Rank Pooling Networks
Basura Fernando, Stephen Gould
In this work, we present novel temporal encoding methods for action and activity classification by extending the unsupervised rank pooling temporal encoding method in two ways. Fir…
DeepPermNet: Visual Permutation Learning
Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian +1
We present a principled approach to uncover the structure of visual data by solving a novel deep learning task coined visual permutation learning. The goal of this task is to find…
Generalized Rank Pooling for Activity Recognition
Anoop Cherian, Basura Fernando, Mehrtash Harandi +1
Most popular deep models for action recognition split video sequences into short sub-sequences consisting of a few frames; frame-based features are then pooled for recognizing the…
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening
Sajib Kumar Saha, Basura Fernando, Jorge Cuadros +2
Purpose To develop a computer based method for the automated assessment of image quality in the context of diabetic retinopathy (DR) to guide the photographer. Methods A deep learn…
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann +3
In contrast to the widely studied problem of recognizing an action given a complete sequence, action anticipation aims to identify the action from only partially available videos.…