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10/22/2021
GCCN: Global Context Convolutional Network
In this paper, we propose Global Context Convolutional Network (GCCN) fo...
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research
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10/22/2021
Signature-Graph Networks
We propose a novel approach for visual representation learning called Si...
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03/11/2021
Drone-as-a-Service Composition Under Uncertainty
We propose an uncertainty-aware service approach to provide drone-based ...
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07/30/2020
grid2vec: Learning Efficient Visual Representations via Flexible Grid-Graphs
We propose grid2vec, a novel approach for image representation learning ...
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05/02/2020
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
We present DroTrack, a high-speed visual single-object tracking framewor...
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01/13/2020
A Bayesian 3D Multi-view Multi-object Tracking Filter
This paper proposes an online multi-camera multi-object tracker that onl...
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07/01/2019
Online Multiple Pedestrian Tracking using Deep Temporal Appearance Matching Association
In online multiple pedestrian tracking it is of great importance to cons...
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01/09/2017
Visual Multiple-Object Tracking for Unknown Clutter Rate
In multi-object tracking applications, model parameter tuning is a prere...
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11/18/2016
