18 citations · 39 across the 3 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
Fast Efficient Object Detection Using Selective Attention
Shivanthan Yohanandan, Andy Song, Adrian G. Dyer +3
Retraction due to significant oversight