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06/17/2021
On the Dark Side of Calibration for Modern Neural Networks
Modern neural networks are highly uncalibrated. It poses a significant c...
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12/12/2020
Assessing The Importance Of Colours For CNNs In Object Recognition
Humans rely heavily on shapes as a primary cue for object recognition. A...
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02/20/2019
Filtering Point Targets via Online Learning of Motion Models
Filtering point targets in highly cluttered and noisy data frames can be...
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02/12/2019
Real-time tracker with fast recovery from target loss
In this paper, we introduce a variation of a state-of-the-art real-time ...
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11/01/2018
Convolutional Recurrent Predictor: Implicit Representation for Multi-target Filtering and Tracking
Defining a multi-target motion model, which is an important step of trac...
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06/20/2018
Hide and Seek tracker: Real-time recovery from target loss
In this paper, we examine the real-time recovery of a video tracker from...
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06/18/2018
Deep Recurrent Neural Network for Multi-target Filtering
This paper addresses the problem of fixed motion and measurement models ...
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10/25/2017
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks
The Fisher information metric is an important foundation of information ...
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10/11/2017
StackSeq2Seq: Dual Encoder Seq2Seq Recurrent Networks
A widely studied non-deterministic polynomial time (NP) hard problem lie...
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10/11/2017
Sequence stacking using dual encoder Seq2Seq recurrent networks
A widely studied non-polynomial (NP) hard problem lies in finding a rout...
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09/07/2017