Top Tweets for #BMVC2018
Grounding is an important problem when it comes to video and text understanding. In our #BMVC2018 work, we took a small step towards this goal. Code: https://t.co/b7hDkVhaJm, data: https://t.co/EohxDGyQI7 and eval server: https://t.co/aLIiuBuXQD
- With Nathan and @ProfJasonCorso
Learning Finer-class Networks for Universal Representations!
By- @ytamaazousti Julien Girard, Hervé Le Borgne, Céline Hudelot
#bmvc2018
https://t.co/VB2P2nQ6gL

Check out InteriorNet, our new very large scale photorealistic synthetic dataset (of 1M+ indoor scenes!) with pixel perfect annotations including semantic labels, depth, normals, optical flow, and many more... https://t.co/qCKthKXYJr #BMVC2018 #computervision #MachineLearning


Daniel presenting at BMVC our newest DL paper on Deep Leaf segmentation using Synthetic data for fast tracking automatic plant phenotyping https://t.co/w6eJSzDFN4 #ML #AI @Data61news @CSIROnews #BMVC2018 #cvppp2018 #qldrobots

#BMVC2018 workshops


You will see lots of green signs after entering the Northumberland Building for the #BMVC2018 workshops 😎 ➡️⬅️⬆️⬇️↗️↘️↙️↖️
#BMVC2018 workshop venues - Northumberland Building. Not sure where it is? Follow me 😎
Really great work from @StephStoll91 @UniOfSurrey on sign language translation from body poses and #NeuralNetworks 👍👌🏼#BMVC2018


#BMVC2018 went all fancy with a string quartet. Not bad.

Beginning to fill up! #BMVC2018

#BMVC2018 banquet


Could multi-scale inputs be replaced with dilated convolutions or spatial pyramid pooling? #BMVC2018
Why concatenate the attention predictor output and not multiply with the previous features? #BMVC2018
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