#BMVC2020 - Twitter Hashtag

almost 6 years ago

Research from @durham_uni Phd student Thomas Winterbottom, Dr @NouraAlMoubayed , Sarah Xiao and @CarbonRMP CDO Dr Alistair McLean could have huge implications for how image-based media is analysed and optimised #bmvc2020 #video #questionanswering https://t.co/5rEBDx7clc

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James Tompkin @jtompkin

almost 6 years ago

If you're at #bmvc2020, come talk to us! https://t.co/ESJHGbPPBW

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James Tompkin @jtompkin

almost 6 years ago

Reconstructing light field depth for _every view_ rather than just the center is important for editing or display retargetting - it needs to be view consistent too! Research @ #BMVC2020 with https://t.co/IJzZ3INuzb and https://t.co/4R2UeTC1fZ - code here: https://t.co/4HOMj87Ac7

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Fredrik K. Gustafsson @fregu856

almost 6 years ago

The poster session for our paper "How to Train Your Energy-Based Model for Regression" at #BMVC2020 starts in 1 min (16:00 - 17:00 UTC+1)! https://t.co/G8uvuJ0Tyl https://t.co/uskUKXJQC5

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

The fourth #BMVC2020 keynote from @lealtaixe "Multiple Object Tracking: Promising Directions and Data Privacy" is about to start: https://t.co/c1wEfq7Kcn

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

The final #BMVC2020 Oral Session (Video) is about to begin: https://t.co/c1wEfpQ9kP

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nermin samet @nemka_

almost 6 years ago

Check out our #BMVC2020 paper “Reducing Label Noise in Anchor-Free Object Detection” @metu_imagelab @eakbas2 @giddyyupp https://t.co/eelL5yjgNd It outperforms all major methods in small object detection. Q&A session Thursday at 10:00-11:00 and 16:00-17:00 UTC+1

nemka_'s tweet photo. Check out our #BMVC2020 paper “Reducing Label Noise in Anchor-Free Object Detection” @metu_imagelab @eakbas2 @giddyyupp

https://t.co/eelL5yjgNd

It outperforms all major methods in small object detection.

Q&A session Thursday at 10:00-11:00 and 16:00-17:00 UTC+1 https://t.co/d9C8dO6x97

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Kyoto University Computer Vision Lab (Nishino Lab) @kyoto_vision

almost 6 years ago

Congratulations to Yuzheng Xu for winning the Best Student Paper Award @bmvc2020 ! Not too shabby for the first paper he wrote. #BMVC2020 project page: https://t.co/bvjiM27sC1 talk: https://t.co/05p3QXaoPO

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

@TheBMVA town hall meeting and #BMVC2020 Best Paper Awards will take place @ 12:10 UK time. Anyone can watch along in the livestream: https://t.co/rGxIndU5aW. Please join to hear reflections on the conference, feedback your suggestions and get involved in @TheBMVA activities.

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Engineering Dept @Cambridge_Eng

almost 6 years ago

Dr James Charles & @robertocipolla will be live at the #BMVC2020 virtual conference on Thursday (10 September) demonstrating the Machine Intelligence Lab's system for reading digital meter screens in real time using a mobile phone. https://t.co/FgSLYUkjdn @bmvc2020

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Shuyu Lin @ShuyuLin_n

almost 6 years ago

Want to share some great works at #BMVC2020. EigenSDF (https://t.co/dmAtAuyh9m) uses a linear decoder, computed by PCA on ground truth 3D models. This approach allows the model to scale to high res 3D models. Great work from @MILAMontreal, UniOfQueensland and UniOfMontreal. (1/4)

ShuyuLin_n's tweet photo. Want to share some great works at #BMVC2020. EigenSDF (https://t.co/dmAtAuyh9m) uses a linear decoder, computed by PCA on ground truth 3D models. This approach allows the model to scale to high res 3D models. Great work from @MILAMontreal, UniOfQueensland and UniOfMontreal. (1/4) https://t.co/OTYtMnARsp

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Menelaos Kanakis @menelaoskanakis

almost 6 years ago

Check out our #BMVC2020 paper "Automated Search for Resource-Efficient Branched Multi-Task Networks". We propose an approach to automatically define branched multi-task networks, while using a resource-aware loss to control the model size Paper: https://t.co/OtKScCtVrN

menelaoskanakis's tweet photo. Check out our #BMVC2020 paper "Automated Search for Resource-Efficient Branched Multi-Task Networks". We propose an approach to automatically define branched multi-task networks, while using a resource-aware loss to control the model size
Paper: https://t.co/OtKScCtVrN https://t.co/6y1eHDpNep

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Andrew Davison

@AjdDavison

almost 6 years ago

My #BMVC2020 keynote talk is live now.

British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

The second #BMVC2020 keynote from @AjdDavison "Towards Graph-Based Spatial AI" is about to start: https://t.co/c1wEfpQ9kP

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

The second #BMVC2020 keynote from @AjdDavison "Towards Graph-Based Spatial AI" is about to start: https://t.co/c1wEfpQ9kP

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

#BMVC2020 Oral Session 4 (Shape-from-X / 3D Reconstruction) is about to begin: https://t.co/c1wEfpQ9kP

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Engineering Dept @Cambridge_Eng

almost 6 years ago

Watch this demo of the system's use on a blood glucose monitor for management of #diabetes @GlucoRx https://t.co/91LAknDdBS #BMVC2020 @bmvc2020

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Engineering Dept @Cambridge_Eng

almost 6 years ago

Dr James Charles & @robertocipolla will be live at the #BMVC2020 virtual conference on Thursday, demonstrating the Machine Intelligence Lab's system for reading digital meter screens in real time using a mobile phone. https://t.co/GsZJdQA3nq @bmvc2020

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British Machine Vision Conference (BMVC) @BMVCconf

almost 6 years ago

#BMVC2020 Oral Session 3 (Segmentation) is about to begin: https://t.co/c1wEfpQ9kP

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Shuyu Lin @ShuyuLin_n

almost 6 years ago

Our 10min presentation is available to everyone (link: https://t.co/7qB5Eg9ORR). For anyone attending #BMVC2020, @ronnieclark__ and I will be at above link **10-11am & 4-5pm UK BST Sep 8** for live chat. Feel free to drop any msgs outside these hours, we will reply ASAP.

Shuyu Lin @ShuyuLin_n

almost 6 years ago

Pls check out our work at #BMVC20 - LaDDer, a method that allows the accurate modelling of the data distribution in a low-dim latent space. LaDDer gives the most faithful modelling of the true data distribution and reduce the risk of generating non-realistic samples. (1/3)