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Weidi Xie
Researcher at University of Oxford
Publications - 107
Citations - 6398
Weidi Xie is an academic researcher from University of Oxford. The author has contributed to research in topics: Computer science & Segmentation. The author has an hindex of 22, co-authored 65 publications receiving 3588 citations.
Papers
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Book ChapterDOI
Class-Agnostic Counting
TL;DR: The model achieves competitive performance on cell and crowd counting datasets, and surpasses the state-of-the-art on the car dataset using only three training images, when training on the entire dataset, and outperforms all previous methods by a large margin.
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MAST: A Memory-Augmented Self-supervised Tracker
Zihang Lai,Erika Lu,Weidi Xie +2 more
TL;DR: A dense tracking model trained on videos without any annotations is proposed that surpasses previous self-supervised methods on existing benchmarks by a significant margin, and achieves performance comparable to supervised methods.
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Comparator Networks
TL;DR: A Deep Comparator Network is proposed that can ingest a pair of sets, and compute a similarity between the pair, and is Inspired by image retrieval, a novel hard sample mining regime is proposed to control the sampling process, such that the DCN is complementary to the standard image classification models.
Journal ArticleDOI
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning.
TL;DR: A multi‐task fully convolutional neural network architecture is proposed to address the problem of 3D fetal brain localization, structural segmentation, and alignment to a referential coordinate system and shows good structural correspondence between fetal anatomies.
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VGGFace2: A dataset for recognising faces across pose and age.
TL;DR: VGGFace2 as mentioned in this paper is a large-scale face dataset with 3.31 million images of 9131 subjects, with an average of 362.6 images for each subject.