230 citations · 508 across the 30 of their papers we have counts for
10 papers · 1 filter
Exploring and Eliciting Needs and Preferences from Editors for Wikidata Recommendations
Kholoud Alghamdi, Miaojing Shi, Elena Simperl
Wikidata is an open knowledge graph created, managed, and maintained collaboratively by a global community of volunteers. As it continues to grow, it faces substantial editor engag…
Domain-General Crowd Counting in Unseen Scenarios
Zhipeng Du, Jiankang Deng, Miaojing Shi
Domain shift across crowd data severely hinders crowd counting models to generalize to unseen scenarios. Although domain adaptive crowd counting approaches close this gap to a cert…
DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling
Bicheng Guo, Shuxuan Guo, Miaojing Shi +4
Differentiable architecture search (DARTS) has been a mainstream direction in automatic machine learning. Since the discovery that original DARTS will inevitably converge to poor a…
Facial Video-based Remote Physiological Measurement via Self-supervised Learning
Zijie Yue, Miaojing Shi, Shuai Ding
Facial video-based remote physiological measurement aims to estimate remote photoplethysmography (rPPG) signals from human face videos and then measure multiple vital signs (e.g. h…
A systematic study of race and sex bias in CNN-based cardiac MR segmentation
Tiarna Lee, Esther Puyol-Anton, Bram Ruijsink +2
In computer vision there has been significant research interest in assessing potential demographic bias in deep learning models. One of the main causes of such bias is imbalance in…
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du, Miaojing Shi, Jiankang Deng +1
Perspective distortions and crowd variations make crowd counting a challenging task in computer vision. To tackle it, many previous works have used multi-scale architecture in deep…
Dam reservoir extraction from remote sensing imagery using tailored metric learning strategies
Arnout van Soesbergen, Zedong Chu, Miaojing Shi +1
Dam reservoirs play an important role in meeting sustainable development goals and global climate targets. However, particularly for small dam reservoirs, there is a lack of consis…
Enhancing Space-time Video Super-resolution via Spatial-temporal Feature Interaction
Zijie Yue, Miaojing Shi
The target of space-time video super-resolution (STVSR) is to increase both the frame rate (also referred to as the temporal resolution) and the spatial resolution of a given video…
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations
Yu Du, Miaojing Shi, Fangyun Wei +1
Zero-shot learning (ZSL) aims to recognize classes that do not have samples in the training set. One representative solution is to directly learn an embedding function associating…
Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
Yu Du, Fangyun Wei, Zihe Zhang +3
Recently, vision-language pre-training shows great potential in open-vocabulary object detection, where detectors trained on base classes are devised for detecting new classes. The…