273 citations · 1.4k across the 86 of their papers we have counts for
11 papers · 1 filter
Audio-Visual Synchronisation in the wild
Honglie Chen, Weidi Xie, Triantafyllos Afouras +3
In this paper, we consider the problem of audio-visual synchronisation applied to videos `in-the-wild' (ie of general classes beyond speech). As a new task, we identify and curate…
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Prannay Kaul, Weidi Xie, Andrew Zisserman
The objective of this paper is few-shot object detection (FSOD) -- the task of expanding an object detector for a new category given only a few instances for training. We introduce…
Prompting Visual-Language Models for Efficient Video Understanding
Chen Ju, Tengda Han, Kunhao Zheng +2
Image-based visual-language (I-VL) pre-training has shown great success for learning joint visual-textual representations from large-scale web data, revealing remarkable ability fo…
It's About Time: Analog Clock Reading in the Wild
Charig Yang, Weidi Xie, Andrew Zisserman
In this paper, we present a framework for reading analog clocks in natural images or videos. Specifically, we make the following contributions: First, we create a scalable pipeline…
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation
Pak-Hei Yeung, Linde Hesse, Moska Aliasi +4
The objective of this work is to achieve sensorless reconstruction of a 3D volume from a set of 2D freehand ultrasound images with deep implicit representation. In contrast to the…
Self-supervised Tumor Segmentation through Layer Decomposition
Xiaoman Zhang, Weidi Xie, Chaoqin Huang +4
In this paper, we target self-supervised representation learning for zero-shot tumor segmentation. We make the following contributions: First, we advocate a zero-shot setting, wher…
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning
Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie
The objective of this work is to segment any arbitrary structures of interest (SOI) in 3D volumes by only annotating a single slice, (i.e. semi-automatic 3D segmentation). We show…
All you need are a few pixels: semantic segmentation with PixelPick
Gyungin Shin, Weidi Xie, Samuel Albanie
A central challenge for the task of semantic segmentation is the prohibitive cost of obtaining dense pixel-level annotations to supervise model training. In this work, we show that…
Localizing Visual Sounds the Hard Way
Honglie Chen, Weidi Xie, Triantafyllos Afouras +3
The objective of this work is to localize sound sources that are visible in a video without using manual annotations. Our key technical contribution is to show that, by training th…
Self-supervised Video Object Segmentation by Motion Grouping
Charig Yang, Hala Lamdouar, Erika Lu +2
Animals have evolved highly functional visual systems to understand motion, assisting perception even under complex environments. In this paper, we work towards developing a comput…
Quantum Self-Supervised Learning
Ben Jaderberg, Lewis W. Anderson, Weidi Xie +3
The resurgence of self-supervised learning, whereby a deep learning model generates its own supervisory signal from the data, promises a scalable way to tackle the dramatically inc…