23 citations · 48 across the 3 of their papers we have counts for
3 papers
cs.LG2019★ 22 cited
Relevance Factor VAE: Learning and Identifying Disentangled Factors
Minyoung Kim, Yuting Wang, Pritish Sahu +1
We propose a novel VAE-based deep auto-encoder model that can learn disentangled latent representations in a fully unsupervised manner, endowed with the ability to identify all mea…
cs.CV2019★ 3 cited
Online Multi-Object Tracking with Dual Matching Attention Networks
Ji Zhu, Hua Yang, Nian Liu +3
In this paper, we propose an online Multi-Object Tracking (MOT) approach which integrates the merits of single object tracking and data association methods in a unified framework t…
cs.CV2016★ 23 cited
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Minyoung Kim, Stefano Alletto, Luca Rigazio
Multi-object tracking has recently become an important area of computer vision, especially for Advanced Driver Assistance Systems (ADAS). Despite growing attention, achieving high…