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Brostow, G. J.
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1

Two-View Geometry Scoring Without Correspondences:

Barroso-Laguna, A ; Brachmann, E ; Prisacariu, VA..
https://discovery.ucl.ac.uk/id/eprint/10179637/1/Barroso-Laguna_Two-View_Geometry_Scoring_Without_Correspondences_CVPR_2023_paper.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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2

Heightfields for Efficient Scene Reconstruction for AR:

Watson, J ; Vicente, S ; Aodha, OM...
https://discovery.ucl.ac.uk/id/eprint/10167541/1/Heightfields%20for%20Efficient%20Scene%20Reconstruction%20for%20AR.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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3

Removing Objects From Neural Radiance Fields:

Weder, S ; Garcia-Hernando, G ; Monszpart, Á...
https://discovery.ucl.ac.uk/id/eprint/10179635/1/Weder_Removing_Objects_From_Neural_Radiance_Fields_CVPR_2023_paper.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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4

Interactive Sketching of Mannequin Poses:

Unlu, G ; Sayed, M ; Brostow, G
https://discovery.ucl.ac.uk/id/eprint/10167370/1/2212.07098.pdf.  , 2023
Link: https://discovery.ucl.ac..
 
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5

Two-view geometry scoring without correspondences:

Barroso-Laguna, A ; Brachmann, E ; Prisacariu, VA..
doi:10.1109/CVPR52729.2023.00867.  , 2023
Link: https://doi.org/10.1109/..
 
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6

Improved Handling of Motion Blur in Online Object Detection:

Sayed, M ; Brostow, G
https://discovery.ucl.ac.uk/id/eprint/10143471/1/2011.14448.pdf.  , 2021
Link: https://discovery.ucl.ac..
 
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7

Panoptic segmentation forecasting:

Graber, C ; Tsai, G ; Firman, M..
https://discovery.ucl.ac.uk/id/eprint/10165507/1/Graber_Panoptic_Segmentation_Forecasting_CVPR_2021_paper.pdf.  , 2021
Link: https://discovery.ucl.ac..
 
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8

Shazam For Bats: Internet of Things for Continuous Real-Tim..:

Gallacher, S ; Wilson, D ; Fairbrass, A...
https://discovery.ucl.ac.uk/id/eprint/10135165/7/Wilson_Shazam%20For%20Bats-%20Internet%20of%20Things%20for%20Continuous%20Real-Time%20Biodiversity%20Monitoring_VoR.pdf.  , 2021
Link: https://discovery.ucl.ac..
 
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9

Focus on the Positives: Self-Supervised Learning for Biodiv..:

Pantazis, O ; Brostow, G ; Jones, K.
https://discovery.ucl.ac.uk/id/eprint/10133392/1/focus%20on%20the%20positives%20-%20final%20version.pdf.  , 2021
Link: https://discovery.ucl.ac..
 
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10

Self-supervised monocular depth hints:

Watson, J ; Firman, M ; Brostow, G.
https://discovery.ucl.ac.uk/id/eprint/10117262/1/1909.09051.pdf.  , 2020
Link: https://discovery.ucl.ac..
 
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11

Digging into self-supervised monocular depth estimation:

Godard, C ; Aodha, OM ; Firman, M.
https://discovery.ucl.ac.uk/id/eprint/10117263/1/1806.01260.pdf.  , 2019
Link: https://discovery.ucl.ac..
 
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12

CityNet - Deep Learning Tools for Urban Ecoacoustic Assessm..:

Fairbrass, A ; Firman, M ; Williams, C...
https://discovery.ucl.ac.uk/id/eprint/10057890/7/Fairbrass_248708.full.pdf.  , 2018
Link: https://discovery.ucl.ac..
 
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13

Deep Blending for Free-Viewpoint Image-Based Rendering:

Hedman, P ; Philip, J ; Price, T...
https://discovery.ucl.ac.uk/id/eprint/10117776/1/Deep_IBR_draft_fromOverleaf.pdf.  , 2018
Link: https://discovery.ucl.ac..
 
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14

CubeNet: Equivariance to 3D Rotation and Translation:

Worrall, D ; Brostow, G
https://discovery.ucl.ac.uk/id/eprint/10075449/1/Brostow_CubeNet.%20Equivariance%20to%203D%20Rotation%20and%20Translation_AAM.pdf.  , 2018
Link: https://discovery.ucl.ac..
 
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15

Bat Detective - Deep learning tools for bat acoustic signal..:

Mac Aodha, O ; Gibb, R ; Barlow, KE...
https://discovery.ucl.ac.uk/id/eprint/10041851/5/MacAodha_Bat_Detective.pdf.  , 2018
Link: https://discovery.ucl.ac..
 
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