activity
20172022
most citedUnsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions

18 citations · 49 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2022★ 17 cited

PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search

Yameng Peng, Andy Song, Vic Ciesielski +2

Neural architecture search (NAS) aims to automate architecture engineering in neural networks. This often requires a high computational overhead to evaluate a number of candidate n…

cs.CV2021★ 18 cited

Unsupervised Person Re-Identification: A Systematic Survey of Challenges and Solutions

Xiangtan Lin, Pengzhen Ren, Chung-Hsing Yeh +3

Person re-identification (Re-ID) has been a significant research topic in the past decade due to its real-world applications and research significance. While supervised person Re-I…

cs.IR2021★ 4 cited

MoParkeR : Multi-objective Parking Recommendation

Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim +5

Existing parking recommendation solutions mainly focus on finding and suggesting parking spaces based on the unoccupied options only. However, there are other factors associated wi…

cs.LG2020

FADACS: A Few-shot Adversarial Domain Adaptation Architecture for Context-Aware Parking Availability Sensing

Wei Shao, Sichen Zhao, Zhen Zhang +4

Existing research on parking availability sensing mainly relies on extensive contextual and historical information. In practice, the availability of such information is a challenge…

cs.CV2018★ 4 cited

Adaptive Re-ranking of Deep Feature for Person Re-identification

Yong Liu, Lin Shang, Andy Song

Typical person re-identification (re-ID) methods train a deep CNN to extract deep features and combine them with a distance metric for the final evaluation. In this work, we focus…

cs.CV2018★ 3 cited

Fast Efficient Object Detection Using Selective Attention

Shivanthan Yohanandan, Andy Song, Adrian G. Dyer +3

Retraction due to significant oversight

cs.CV2018

Background Subtraction using Compressed Low-resolution Images

Min Chen, Andy Song, Shivanthan A. C. Yhanandan +1

Image processing and recognition are an important part of the modern society, with applications in fields such as advanced artificial intelligence, smart assistants, and security s…

cs.CV2017★ 3 cited

Saliency Preservation in Low-Resolution Grayscale Images

Shivanthan A. C. Yohanandan, Adrian G. Dyer, Dacheng Tao +1

Visual salience detection originated over 500 million years ago and is one of nature's most efficient mechanisms. In contrast, many state-of-the-art computational saliency models a…