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2020 – today
- 2022
[j9]Linde S. Hesse, Moska Aliasi, Felipe Moser, Monique C. Haak, Weidi Xie, Mark Jenkinson, Ana I. L. Namburete:
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learning. NeuroImage 254: 119117 (2022)- [i38]Gyungin Shin, Samuel Albanie, Weidi Xie:
Unsupervised Salient Object Detection with Spectral Cluster Voting. CoRR abs/2203.12614 (2022) - [i37]Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, Lin Ma:
PromptDet: Expand Your Detector Vocabulary with Uncurated Images. CoRR abs/2203.16513 (2022) - [i36]Tengda Han, Weidi Xie, Andrew Zisserman:
Temporal Alignment Networks for Long-term Video. CoRR abs/2204.02968 (2022) - 2021
- [j8]Pak-Hei Yeung, Moska Aliasi, Aris T. Papageorghiou, Monique C. Haak, Weidi Xie, Ana I. L. Namburete
:
Learning to map 2D ultrasound images into 3D space with minimal human annotation. Medical Image Anal. 70: 101998 (2021) - [c24]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. CVPR 2021: 16867-16876 - [c23]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. ICCV 2021: 7157-7168 - [c22]Gyungin Shin, Weidi Xie, Samuel Albanie:
All you need are a few pixels: semantic segmentation with PixelPick. ICCVW 2021: 1687-1697 - [c21]Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie:
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-supervised Learning. MICCAI (2) 2021: 69-79 - [i35]Zirui Wang, Shangzhe Wu, Weidi Xie, Min Chen, Victor Adrian Prisacariu:
NeRF-: Neural Radiance Fields Without Known Camera Parameters. CoRR abs/2102.07064 (2021) - [i34]Ben Jaderberg, Lewis W. Anderson, Weidi Xie, Samuel Albanie, Martin Kiffner, Dieter Jaksch:
Quantum Self-Supervised Learning. CoRR abs/2103.14653 (2021) - [i33]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Localizing Visual Sounds the Hard Way. CoRR abs/2104.02691 (2021) - [i32]Gyungin Shin, Weidi Xie, Samuel Albanie:
All you need are a few pixels: semantic segmentation with PixelPick. CoRR abs/2104.06394 (2021) - [i31]Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie:
Self-supervised Video Object Segmentation by Motion Grouping. CoRR abs/2104.07658 (2021) - [i30]Pak-Hei Yeung, Ana I. L. Namburete, Weidi Xie:
Sli2Vol: Annotate a 3D Volume from a Single Slice with Self-Supervised Learning. CoRR abs/2105.12722 (2021) - [i29]Xiaoman Zhang, Weidi Xie, Chaoqin Huang, Ya Zhang, Yanfeng Wang:
Self-supervised Tumor Segmentation through Layer Decomposition. CoRR abs/2109.03230 (2021) - [i28]Pak-Hei Yeung, Linde S. Hesse, Moska Aliasi, Monique C. Haak, Weidi Xie, Ana I. L. Namburete:
ImplicitVol: Sensorless 3D Ultrasound Reconstruction with Deep Implicit Representation. CoRR abs/2109.12108 (2021) - [i27]Charig Yang, Weidi Xie, Andrew Zisserman:
It's About Time: Analog Clock Reading in the Wild. CoRR abs/2111.09162 (2021) - [i26]Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman:
Audio-Visual Synchronisation in the wild. CoRR abs/2112.04432 (2021) - [i25]Chen Ju, Tengda Han, Kunhao Zheng, Ya Zhang, Weidi Xie:
Prompting Visual-Language Models for Efficient Video Understanding. CoRR abs/2112.04478 (2021) - [i24]Prannay Kaul, Weidi Xie, Andrew Zisserman:
Label, Verify, Correct: A Simple Few Shot Object Detection Method. CoRR abs/2112.05749 (2021) - 2020
- [j7]Arsha Nagrani, Joon Son Chung, Weidi Xie, Andrew Zisserman:
Voxceleb: Large-scale speaker verification in the wild. Comput. Speech Lang. 60 (2020) - [j6]Sagar Vaze, Weidi Xie, Ana I. L. Namburete:
Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment. IEEE J. Biomed. Health Informatics 24(4): 1059-1069 (2020) - [j5]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39(6): 256:1-256:14 (2020) - [c20]Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman:
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. ACCV (2) 2020: 488-503 - [c19]Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Verification. BMVC 2020 - [c18]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-Supervised Tracker. CVPR 2020: 6478-6487 - [c17]Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-Augmented Dense Predictive Coding for Video Representation Learning. ECCV (3) 2020: 312-329 - [c16]Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman:
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval. ECCV (9) 2020: 677-694 - [c15]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
Vggsound: A Large-Scale Audio-Visual Dataset. ICASSP 2020: 721-725 - [c14]Tengda Han, Weidi Xie, Andrew Zisserman:
Self-supervised Co-Training for Video Representation Learning. NeurIPS 2020 - [i23]Zihang Lai, Erika Lu, Weidi Xie:
MAST: A Memory-Augmented Self-supervised Tracker. CoRR abs/2002.07793 (2020) - [i22]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
VGGSound: A Large-scale Audio-Visual Dataset. CoRR abs/2004.14368 (2020) - [i21]Fangrui Zhu, Li Zhang, Yanwei Fu, Guodong Guo, Weidi Xie:
Self-supervised Video Object Segmentation. CoRR abs/2006.12480 (2020) - [i20]Andrew Brown, Weidi Xie, Vicky Kalogeiton, Andrew Zisserman:
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval. CoRR abs/2007.12163 (2020) - [i19]Tengda Han, Weidi Xie, Andrew Zisserman:
Memory-augmented Dense Predictive Coding for Video Representation Learning. CoRR abs/2008.01065 (2020) - [i18]Weidi Xie, Jeffrey Byrne, Andrew Zisserman:
Inducing Predictive Uncertainty Estimation for Face Recognition. CoRR abs/2009.00603 (2020) - [i17]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered Neural Rendering for Retiming People in Video. CoRR abs/2009.07833 (2020) - [i16]Tengda Han, Weidi Xie, Andrew Zisserman:
Self-supervised Co-training for Video Representation Learning. CoRR abs/2010.09709 (2020) - [i15]Hala Lamdouar, Charig Yang, Weidi Xie, Andrew Zisserman:
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation. CoRR abs/2011.11630 (2020) - [i14]Arsha Nagrani, Joon Son Chung, Jaesung Huh, Andrew Brown, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge. CoRR abs/2012.06867 (2020)
2010 – 2019
- 2019
- [c13]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. BMVC 2019: 152 - [c12]Dan Xu, Weidi Xie, Andrew Zisserman:
Geometry-Aware Video Object Detection for Static Cameras. BMVC 2019: 294 - [c11]Zihang Lai, Weidi Xie:
Self-supervised Video Representation Learning for Correspondence Flow. BMVC 2019: 299 - [c10]Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Utterance-level Aggregation for Speaker Recognition in the Wild. ICASSP 2019: 5791-5795 - [c9]Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. ICCV Workshops 2019: 1483-1492 - [i13]Weidi Xie, Arsha Nagrani, Joon Son Chung, Andrew Zisserman:
Utterance-level Aggregation For Speaker Recognition In The Wild. CoRR abs/1902.10107 (2019) - [i12]Zihang Lai, Weidi Xie:
Self-supervised Learning for Video Correspondence Flow. CoRR abs/1905.00875 (2019) - [i11]Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman:
AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations. CoRR abs/1908.05263 (2019) - [i10]Dan Xu, Weidi Xie, Andrew Zisserman:
Geometry-Aware Video Object Detection for Static Cameras. CoRR abs/1909.03140 (2019) - [i9]Tengda Han, Weidi Xie, Andrew Zisserman:
Video Representation Learning by Dense Predictive Coding. CoRR abs/1909.04656 (2019) - [i8]Joon Son Chung, Arsha Nagrani, Ernesto Coto, Weidi Xie, Mitchell McLaren, Douglas A. Reynolds, Andrew Zisserman:
VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge. CoRR abs/1912.02522 (2019) - 2018
- [j4]Weidi Xie, J. Alison Noble, Andrew Zisserman:
Microscopy cell counting and detection with fully convolutional regression networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(3): 283-292 (2018) - [j3]Ana I. L. Namburete, Weidi Xie, Mohammad Yaqub, Andrew Zisserman, J. Alison Noble:
Fully-automated alignment of 3D fetal brain ultrasound to a canonical reference space using multi-task learning. Medical Image Anal. 46: 1-14 (2018) - [j2]Ruobing Huang, Weidi Xie, J. Alison Noble:
VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography. Medical Image Anal. 47: 127-139 (2018) - [j1]Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks. Medical Image Anal. 48: 95-106 (2018) - [c8]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. ACCV (3) 2018: 669-684 - [c7]Weidi Xie, Andrew Zisserman:
Multicolumn Networks for Face Recognition. BMVC 2018: 111 - [c6]Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. ECCV (11) 2018: 811-826 - [c5]Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman:
VGGFace2: A Dataset for Recognising Faces across Pose and Age. FG 2018: 67-74 - [c4]Mohammad Ali Maraci, Weidi Xie, J. Alison Noble:
Can Dilated Convolutions Capture Ultrasound Video Dynamics? MLMI@MICCAI 2018: 116-124 - [i7]Weidi Xie, Andrew Zisserman:
Multicolumn Networks for Face Recognition. CoRR abs/1807.09192 (2018) - [i6]Weidi Xie, Li Shen, Andrew Zisserman:
Comparator Networks. CoRR abs/1807.11440 (2018) - [i5]Erika Lu, Weidi Xie, Andrew Zisserman:
Class-Agnostic Counting. CoRR abs/1811.00472 (2018) - 2017
- [b1]Weidi Xie:
Deep neural networks in computer vision and biomedical image analysis. University of Oxford, UK, 2017 - [c3]Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble:
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization. FIMH 2017: 183-194 - [c2]Ana I. L. Namburete, Weidi Xie, J. Alison Noble:
Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs. FIFI/OMIA@MICCAI 2017: 73-80 - [c1]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CMMI/RAMBO/SWITCH@MICCAI 2017: 105-115 - [i4]Davis M. Vigneault, Weidi Xie, David A. Bluemke, J. Alison Noble:
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization. CoRR abs/1704.03660 (2017) - [i3]Yipeng Hu, Eli Gibson, Li-Lin Lee, Weidi Xie, Dean C. Barratt, Tom Vercauteren, J. Alison Noble:
Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks. CoRR abs/1707.05392 (2017) - [i2]Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, Andrew Zisserman:
VGGFace2: A dataset for recognising faces across pose and age. CoRR abs/1710.08092 (2017) - [i1]Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho, David A. Bluemke, J. Alison Noble:
Omega-Net: Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks. CoRR abs/1711.01094 (2017)
Coauthor Index
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