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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.
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Layered neural rendering for retiming people in video
Erika Lu,Forrester Cole,Tali Dekel,Weidi Xie,Andrew Zisserman,David Salesin,William T. Freeman,Michael Rubinstein +7 more
TL;DR: In this article, the authors propose a method for retiming people in an ordinary, natural video by manipulating and editing the time in which different motions of individuals in the video occur.
Posted Content
Utterance-level Aggregation For Speaker Recognition In The Wild
TL;DR: In this article, the authors proposed a speaker recognition deep network using a "thin-ResNet" trunk architecture and a dictionary-based NetVLAD or GhostVLAD layer to aggregate features across time.
Proceedings Article
Multicolumn Networks for Face Recognition
Weidi Xie,Andrew Zisserman +1 more
TL;DR: In this paper, a multicolumn network (MN) is proposed for set-based face recognition, which takes a set of images (the number in the set can vary) as input, and learns to compute a fix-sized feature descriptor for the entire set.
Posted Content
NeRF$--$: Neural Radiance Fields Without Known Camera Parameters
TL;DR: In this paper, the authors propose an end-to-end framework, termed NeRF--, for training NeRF models given only RGB images, without pre-computed camera parameters.
Posted Content
Layered Neural Rendering for Retiming People in Video
Erika Lu,Forrester Cole,Tali Dekel,Weidi Xie,Andrew Zisserman,David Salesin,William T. Freeman,Michael Rubinstein +7 more
TL;DR: A key property of this model is that it not only disentangles the direct motions of each person in the input video, but also correlates each person automatically with the scene changes they generate---e.g., shadows, reflections, and motion of loose clothing.