95 citations · 347 across the 9 of their papers we have counts for
12 papers
GCCN: Global Context Convolutional Network
Ali Hamdi, Flora Salim, Du Yong Kim
In this paper, we propose Global Context Convolutional Network (GCCN) for visual recognition. GCCN computes global features representing contextual information across image patches…
Signature-Graph Networks
Ali Hamdi, Flora Salim, Du Yong Kim +1
We propose a novel approach for visual representation learning called Signature-Graph Neural Networks (SGN). SGN learns latent global structures that augment the feature representa…
Tracking Cells and their Lineages via Labeled Random Finite Sets
Tran Thien Dat Nguyen, Ba-Ngu Vo, Ba-Tuong Vo +2
Determining the trajectories of cells and their lineages or ancestries in live-cell experiments are fundamental to the understanding of how cells behave and divide. This paper prop…
Drone-as-a-Service Composition Under Uncertainty
Ali Hamdi, Flora D. Salim, Du Yong Kim +2
We propose an uncertainty-aware service approach to provide drone-based delivery services called Drone-as-a-Service (DaaS) effectively. Specifically, we propose a service model of…
flexgrid2vec: Learning Efficient Visual Representations Vectors
Ali Hamdi, Du Yong Kim, Flora D. Salim
We propose flexgrid2vec, a novel approach for image representation learning. Existing visual representation methods suffer from several issues, including the need for highly intens…
DroTrack: High-speed Drone-based Object Tracking Under Uncertainty
Ali Hamdi, Flora Salim, Du Yong Kim
We present DroTrack, a high-speed visual single-object tracking framework for drone-captured video sequences. Most of the existing object tracking methods are designed to tackle we…
A Bayesian Filter for Multi-view 3D Multi-object Tracking with Occlusion Handling
Jonah Ong, Ba Tuong Vo, Ba Ngu Vo +2
This paper proposes an online multi-camera multi-object tracker that only requires monocular detector training, independent of the multi-camera configurations, allowing seamless ex…
Online Multiple Pedestrians Tracking using Deep Temporal Appearance Matching Association
Young-Chul Yoon, Du Yong Kim, Young-min Song +2
In online multi-target tracking, modeling of appearance and geometric similarities between pedestrians visual scenes is of great importance. The higher dimension of inherent inform…
Multiple Object Tracking in Unknown Backgrounds with Labeled Random Finite Sets
Yuthika Punchihewa, Ba-Tuong Vo, Ba-Ngu Vo +1
This paper proposes an on-line multiple object tracking algorithm that can operate in unknown background. In a majority of multiple object tracking applications, model parameters f…
Visual Multiple-Object Tracking for Unknown Clutter Rate
Du Yong Kim
In multi-object tracking applications, model parameter tuning is a prerequisite for reliable performance. In particular, it is difficult to know statistics of false measurements du…
Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering
Du Yong Kim, Ba-Ngu Vo, Ba-Tuong Vo
This paper proposes an online visual multi-object tracking algorithm using a top-down Bayesian formulation that seamlessly integrates state estimation, track management, clutter re…
A Particle Multi-Target Tracker for Superpositional Measurements using Labeled Random Finite Sets
Francesco Papi, Du Yong Kim
In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the targ…