-
Assessing The Importance Of Colours For CNNs In Object Recognition
Humans rely heavily on shapes as a primary cue for object recognition. A...
12/12/2020 ∙ by Aditya Singh, et al. ∙
14
∙
share
read it
-
Filtering Point Targets via Online Learning of Motion Models
Filtering point targets in highly cluttered and noisy data frames can be...
02/20/2019 ∙ by Mehryar Emambakhsh, et al. ∙
0
∙
share
read it
-
Real-time tracker with fast recovery from target loss
In this paper, we introduce a variation of a state-of-the-art real-time ...
02/12/2019 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
-
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking
Defining a multi-target motion model, which is an important step of trac...
11/01/2018 ∙ by Mehryar Emambakhsh, et al. ∙
6
∙
share
read it
-
Hide and Seek tracker: Real-time recovery from target loss
In this paper, we examine the real-time recovery of a video tracker from...
06/20/2018 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
-
Deep Recurrent Neural Network for Multi-target Filtering
This paper addresses the problem of fixed motion and measurement models ...
06/18/2018 ∙ by Mehryar Emambakhsh, et al. ∙
0
∙
share
read it
-
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks
The Fisher information metric is an important foundation of information ...
10/25/2017 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
-
StackSeq2Seq: Dual Encoder Seq2Seq Recurrent Networks
A widely studied non-deterministic polynomial time (NP) hard problem lie...
10/11/2017 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
-
Sequence stacking using dual encoder Seq2Seq recurrent networks
A widely studied non-polynomial (NP) hard problem lies in finding a rout...
10/11/2017 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
-
Approximating meta-heuristics with homotopic recurrent neural networks
Much combinatorial optimisation problems constitute a non-polynomial (NP...
09/07/2017 ∙ by Alessandro Bay, et al. ∙
0
∙
share
read it
